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| flatiron data science bootcamp reddit: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| flatiron data science bootcamp reddit: Deep Learning Illustrated Jon Krohn, Grant Beyleveld, Aglaé Bassens, 2019-08-05 The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come. – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| flatiron data science bootcamp reddit: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| flatiron data science bootcamp reddit: Python for Bioinformatics Sebastian Bassi, 2017-08-07 In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development. |
| flatiron data science bootcamp reddit: Think Java Allen B. Downey, Chris Mayfield, 2016-05-06 Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards |
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| flatiron data science bootcamp reddit: Program Or be Programmed Douglas Rushkoff, 2010 Is the internet good or bad? How can technology be directed? In this spirited, accessible poetics of new media, Rushkoff picks up where Marshall McLuhan left off, helping readers come to recognise programming as the new literacy of the digital age and as a template through which to see beyond social conventions and power structures that have vexed us for centuries. This is a friendly little book with a big and actionable message. |
| flatiron data science bootcamp reddit: Learn to Program Chris Pine, 2021-06-17 It's easier to learn how to program a computer than it has ever been before. Now everyone can learn to write programs for themselves - no previous experience is necessary. Chris Pine takes a thorough, but lighthearted approach that teaches you the fundamentals of computer programming, with a minimum of fuss or bother. Whether you are interested in a new hobby or a new career, this book is your doorway into the world of programming. Computers are everywhere, and being able to program them is more important than it has ever been. But since most books on programming are written for other programmers, it can be hard to break in. At least it used to be. Chris Pine will teach you how to program. You'll learn to use your computer better, to get it to do what you want it to do. Starting with small, simple one-line programs to calculate your age in seconds, you'll see how to write interactive programs, to use APIs to fetch live data from the internet, to rename your photos from your digital camera, and more. You'll learn the same technology used to drive modern dynamic websites and large, professional applications. Whether you are looking for a fun new hobby or are interested in entering the tech world as a professional, this book gives you a solid foundation in programming. Chris teaches the basics, but also shows you how to think like a programmer. You'll learn through tons of examples, and through programming challenges throughout the book. When you finish, you'll know how and where to learn more - you'll be on your way. What You Need: All you need to learn how to program is a computer (Windows, macOS, or Linux) and an internet connection. Chris Pine will lead you through setting set up with the software you will need to start writing programs of your own. |
| flatiron data science bootcamp reddit: HTML and CSS Jon Duckett, 2011-11-08 Jon Duckett’s best-selling, full color introduction to HTML and CSS—making complex topics simple, accessible, and fun! Learn HTML and CSS from the book that has inspired hundreds of thousands of beginner-to-intermediate coders. Professional web designers, developers, and programmers as well as new learners are looking to amp up their web design skills at work and expand their personal development—yet finding the right resources online can be overwhelming. Take a confident step in the right direction by choosing the simplicity of HTML & CSS: Design and Build Websites by veteran web developer and programmer Jon Duckett. Widely regarded for setting a new standard for those looking to learn and master web development through his inventive teaching format, Jon Duckett has helped global brands like Philips, Nike, and Xerox create innovative digital solutions, designing and delivering web and mobile projects with impact and the customer at the forefront. In HTML & CSS, Duckett shares his real-world insights in a unique and highly visual style: Introduces HTML and CSS in a way that makes them accessible to everyone―from students to freelancers, and developers, programmers, marketers, social media managers, and more Combines full-color design graphics and engaging photography to explain the topics in an in-depth yet straightforward manner Provides an efficient and user-friendly structure that allows readers to progress through the chapters in a self-paced format Is perfect for anyone looking to update a content management system, run an e-commerce store, or redesign a website using popular web development tools HTML & CSS is well-written and readable, providing organized instruction in ways that other online courses, tutorials, and books have yet to replicate. For readers seeking a comprehensive yet concise guide to HTML and CSS, look no further than this one-of-a-kind guide. HTML & CSS is also available as part of two hardcover and paperback sets depending on your web design and development needs: Web Design with HTML, CSS, JavaScript, and jQuery Set Paperback: 9781118907443 Hardcover: 9781119038634 Front-End Back-End Development with HTML, CSS, JavaScript, jQuery, PHP, and MySQL Set Paperback: 9781119813095 Hardcover: 9781119813088 |
| flatiron data science bootcamp reddit: Pro Swift - Swift 4. 1 Edition Paul Hudson, 2018-02-23 Stop trying to write Swift as if it were Objective-C, and start using powerful, modern technologies such as functional programming, protocol-oriented programming, lazy variables, enum associated values, operator overloading and more. 100% ADVANCED: You'll learn key features such as @autoclosure, rethrows, variadic functions, generics, lazy variables, operator overloading, and more. POP READY: Dive into protocol-oriented programming with real-world examples that let you see for yourself why it's such a revolutionary approach to development. MONADS EXPLAINED: Struggling with functional programming? Pro Swift explains map(), flatMap(), reduce() and more, using practical examples you can apply immediately. Pro Swift teaches you to write faster, more efficient Swift with techniques you can apply in your own code immediately - upgrade your skills today! |
| flatiron data science bootcamp reddit: Dive Into Python Mark Pilgrim, 2004-07-12 * Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language. |
| flatiron data science bootcamp reddit: Me Llamo Gabriela Monica Brown, 2005 Gabriela Mistral, a teacher, poet, and the first Latina woman to win the Nobel Prize. |
| flatiron data science bootcamp reddit: Interactive C# Vaskaran Sarcar, 2017-12-12 Discover object-oriented programming with core concepts of C# in this unique tutorial. The book consists of four major sections which cover 15 core topics - nine of them are dedicated to object-oriented programming, five of them are dedicated to advanced concepts of C#, and one of them is dedicated to design patterns, with coverage of three Gang of Four design patterns with C# implementations. Finally, Interactive C# contains an FAQ section to cover all of these topics. This book uniquely presents a two-way discussion between a teacher and students. So, with this book you will have the feel of learning C# in a classroom environment or with your private tutor. Your teacher will discuss the problems/topics and ask you questions; at the same time, counter questions are provided to clarify points where necessary. What You Will Learn Become proficient in object-oriented programming Remake yourself as a great C# programmer Test your skills in C# fundamentals Use Visual Studio to write, compile and execute your code Who This Book Is For Programmers who want to understand the concepts and implementation of object-oriented programming in C#. |
| flatiron data science bootcamp reddit: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| flatiron data science bootcamp reddit: The Pragmatic Programmer Andrew Hunt, David Thomas, 1999-10-20 What others in the trenches say about The Pragmatic Programmer... “The cool thing about this book is that it’s great for keeping the programming process fresh. The book helps you to continue to grow and clearly comes from people who have been there.” — Kent Beck, author of Extreme Programming Explained: Embrace Change “I found this book to be a great mix of solid advice and wonderful analogies!” — Martin Fowler, author of Refactoring and UML Distilled “I would buy a copy, read it twice, then tell all my colleagues to run out and grab a copy. This is a book I would never loan because I would worry about it being lost.” — Kevin Ruland, Management Science, MSG-Logistics “The wisdom and practical experience of the authors is obvious. The topics presented are relevant and useful.... By far its greatest strength for me has been the outstanding analogies—tracer bullets, broken windows, and the fabulous helicopter-based explanation of the need for orthogonality, especially in a crisis situation. I have little doubt that this book will eventually become an excellent source of useful information for journeymen programmers and expert mentors alike.” — John Lakos, author of Large-Scale C++ Software Design “This is the sort of book I will buy a dozen copies of when it comes out so I can give it to my clients.” — Eric Vought, Software Engineer “Most modern books on software development fail to cover the basics of what makes a great software developer, instead spending their time on syntax or technology where in reality the greatest leverage possible for any software team is in having talented developers who really know their craft well. An excellent book.” — Pete McBreen, Independent Consultant “Since reading this book, I have implemented many of the practical suggestions and tips it contains. Across the board, they have saved my company time and money while helping me get my job done quicker! This should be a desktop reference for everyone who works with code for a living.” — Jared Richardson, Senior Software Developer, iRenaissance, Inc. “I would like to see this issued to every new employee at my company....” — Chris Cleeland, Senior Software Engineer, Object Computing, Inc. “If I’m putting together a project, it’s the authors of this book that I want. . . . And failing that I’d settle for people who’ve read their book.” — Ward Cunningham Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users. It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you'll learn how to Fight software rot; Avoid the trap of duplicating knowledge; Write flexible, dynamic, and adaptable code; Avoid programming by coincidence; Bullet-proof your code with contracts, assertions, and exceptions; Capture real requirements; Test ruthlessly and effectively; Delight your users; Build teams of pragmatic programmers; and Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether you're a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you'll quickly see improvements in personal productivity, accuracy, and job satisfaction. You'll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You'll become a Pragmatic Programmer. |
| flatiron data science bootcamp reddit: Java How to Program, Late Objects, Global Edition Harvey Deitel, Paul J. Deitel, 2019-07-09 The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further study. Java How to Program, Late Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics. |
| flatiron data science bootcamp reddit: Solving Product Design Exercises Artiom Dashinsky, 2018-02-07 Practice your product design and UX skills. Prepare for your next job interview. Redesign the NYC metrocard system. Design a dashboard for a general practitioner. Redesign an ATM. Learn how to solve and present exercises like these, that top startups use to interview designers for product design and UI/UX roles. Today top companies are looking for business-minded designers who are not just focused on visuals. With this book you can practice this kind of mindset, prepare for job interview, learn how to interview other designers and find concepts for projects for your portfolio. What will you learn from this book: Prepare for the design interview -- prepare for the design exercise and learn more about how tech companies hire product designers. Improve your portfolio -- use product challenges to showcase in your porfolio instead of unsolicited visual redesigns. Step up your design career -- practice your product design skills to become a better designer and prepare for your next career move. Interview designers -- learn how to interview designers to evaluate their skills in the most efficient and scalable way. What's inside? A 7-step framework for solving product design exercises 30+ examples of exercises similar to exercises used by Google, Facebook, Amazon etc. 5 full solutions for product design exercises 5 short interviews with design leaders that worked at Apple, Google, Pinterest, IDEO etc. |
| flatiron data science bootcamp reddit: Pro Git Scott Chacon, Ben Straub, 2014-11-18 Pro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how to use it like a pro. Effective and well-implemented version control is a necessity for successful web projects, whether large or small. With this book you’ll learn how to master the world of distributed version workflow, use the distributed features of Git to the full, and extend Git to meet your every need. Written by Git pros Scott Chacon and Ben Straub, Pro Git (Second Edition) builds on the hugely successful first edition, and is now fully updated for Git version 2.0, as well as including an indispensable chapter on GitHub. It’s the best book for all your Git needs. |
| flatiron data science bootcamp reddit: The Conjurer's Almanaq Roy Leban, Emily Dietrich, 2019-01-21 The Conjurer's Almanaq is the ultimate guide to the conjuring arts. Or is it? Start reading and you'll be trapped inside! This unique puzzle book is an escape room in a book, only there is no room. You're trapped in the book itself by an evil spell cast by The Great Qdini. Find the hidden puzzles and learn Qdini's true name to make your way out |
| flatiron data science bootcamp reddit: Basics of Computer Muhammad Umar, 2018-04-14 Basics of Computer, this text will enhance an initial learning and provides a technical and theoretical approach to the students of Information Technology and Computer Science. A chapter wise approach, provided navigation through the material, easy to grasp the language, clear technical definitions, and appropriate illustrations give an understandable read to students. The book will serve as a toolkit for naive and experts as well. Honestly, Basics of Computer is an ultimate source of knowledge, for those who know about technology and for those who are curious about computers. |
| flatiron data science bootcamp reddit: Learn Ruby the Hard Way Zed Shaw, 2014 This breakthrough book and CD can help practically anyone get started in programming. It's called The Hard Way, but it's really quite simple. What's hard is this: it requires discipline, practice, and persistence. Through a series of brilliantly-crafted exercises, Zed A. Shaw teaches the reader to type sample code, fix mistakes, see the results, and learn how software and programs work. Readers learn to read, write and see code, and learn all they need to know about Ruby logic, input/output, variables, and functions. |
| flatiron data science bootcamp reddit: The Minimum You Need to Know about Logic to Work in IT Roland Hughes, 2007 This book is part of aaThe Minimum You Need to Knowaa family of books by Logikal Solutions. As the family expands they will cover an increasing variety of topics. This book is designed to be used as a text book for classes in logic from high school to college level. It should be one of the first courses you have on IT and this should be one of the first books you read when starting in IT. Not only does this book cover flow charting and pseudocode, it teaches the reader to think before they start mapping out the logic to solve a problem. The author of this book is an industry veteran with nearly 20 years in the field. It has been his experience that recent graduates, from any country, are nearly useless at problem solving. If they cannot point, click, and drag, they cannot solve the problem. This book is an attempt to teach them how to solve the problem. An instructoraas guide is available for schools looking to make this book the basis of coursework. |
| flatiron data science bootcamp reddit: Learning Web App Development Semmy Purewal, 2014-02-13 Grasp the fundamentals of web application development by building a simple database-backed app from scratch, using HTML, JavaScript, and other open source tools. Through hands-on tutorials, this practical guide shows inexperienced web app developers how to create a user interface, write a server, build client-server communication, and use a cloud-based service to deploy the application. Each chapter includes practice problems, full examples, and mental models of the development workflow. Ideal for a college-level course, this book helps you get started with web app development by providing you with a solid grounding in the process. Set up a basic workflow with a text editor, version control system, and web browser Structure a user interface with HTML, and include styles with CSS Use JQuery and JavaScript to add interactivity to your application Link the client to the server with AJAX, JavaScript objects, and JSON Learn the basics of server-side programming with Node.js Store data outside your application with Redis and MongoDB Share your application by uploading it to the cloud with CloudFoundry Get basic tips for writing maintainable code on both client and server |
| flatiron data science bootcamp reddit: Eloquent JavaScript, 3rd Edition Marijn Haverbeke, 2018-12-04 Completely revised and updated, this best-selling introduction to programming in JavaScript focuses on writing real applications. JavaScript lies at the heart of almost every modern web application, from social apps like Twitter to browser-based game frameworks like Phaser and Babylon. Though simple for beginners to pick up and play with, JavaScript is a flexible, complex language that you can use to build full-scale applications. This much anticipated and thoroughly revised third edition of Eloquent JavaScript dives deep into the JavaScript language to show you how to write beautiful, effective code. It has been updated to reflect the current state of Java¬Script and web browsers and includes brand-new material on features like class notation, arrow functions, iterators, async functions, template strings, and block scope. A host of new exercises have also been added to test your skills and keep you on track. As with previous editions, Haverbeke continues to teach through extensive examples and immerses you in code from the start, while exercises and full-chapter projects give you hands-on experience with writing your own programs. You start by learning the basic structure of the JavaScript language as well as control structures, functions, and data structures to help you write basic programs. Then you'll learn about error handling and bug fixing, modularity, and asynchronous programming before moving on to web browsers and how JavaScript is used to program them. As you build projects such as an artificial life simulation, a simple programming language, and a paint program, you'll learn how to: - Understand the essential elements of programming, including syntax, control, and data - Organize and clarify your code with object-oriented and functional programming techniques - Script the browser and make basic web applications - Use the DOM effectively to interact with browsers - Harness Node.js to build servers and utilities Isn't it time you became fluent in the language of the Web? * All source code is available online in an inter¬active sandbox, where you can edit the code, run it, and see its output instantly. |
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| flatiron data science bootcamp reddit: Hands-On Data Science and Python Machine Learning Frank Kane, 2017-07-31 This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time. |
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| flatiron data science bootcamp reddit: Intrinsically Disordered Proteins Birthe B. Kragelund, Karen Skriver, 2021-07-23 The edition details methods to study intrinsically disordered proteins (IDPs) including recent topics such as extremely high-affinity disordered complexes, kinetics that evade established concepts, liquid-liquid phase separation, and novel disorder-driven allosteric mechanisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Intrinsically Disordered Proteins: Methods and Protocols aims to help scientists with different backgrounds to further their investigations into these fascinating and dynamic molecules. Chapter 24 is available open access under a CC BY 4.0 license via link.springer.com. Chapters “40 and 42 ” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| flatiron data science bootcamp reddit: Say it with Charts Gene Zelazny, 1996 In this third edition, Gene Zelazny provides a portolio of over 80 complete charts, including pie, bar, column, line and dot charts, plus a new dictionary of 150 visual images that can be used to visualize non-quantitative ideas such as forces at work, interaction, leverage, and barriers. Other convey flow structure and process. Say It With Charts will help you choose the chart form that will work best and translate data and ideas into visual concepts. 4-color insert. |
| flatiron data science bootcamp reddit: Software for Industrial Automation United Nations. Economic Commission for Europe, 1987 |
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| flatiron data science bootcamp reddit: Quantitative Risk Management Rudiger Frey, Paul Embrechts, 2010 |
| flatiron data science bootcamp reddit: Django Girls Tutorial Django Girls, 2017-10-25 Welcome to the Django Girls Tutorial! We are happy to see you here: ) In this tutorial, we will take you on a journey under the hood of web technologies, offering you a glimpse of all the bits and pieces that need to come together to make the web work as we know it. As with all unknown things, this is going to be an adventure - but no worries, since you already worked up the courage to be here, you'll be just fine: ) |
| flatiron data science bootcamp reddit: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
Flatiron Health | Reimagining the infrastructure of cancer care
Clinicians, researchers, and regulators rely on Flatiron technology and evidence to learn faster and power smarter care for every patient. Because transforming cancer care takes all of us.
Careers | Flatiron Health
A career at Flatiron is a chance to work alongside some of the brightest and most compassionate minds in oncology, technology, and research.
Company | Flatiron Health
FLATIRON HEALTH® is a healthtech company dedicated to improving cancer treatment and advancing research. As the pioneer in real-world evidence for oncology, we provide technology …
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By downloading, using or accessing this App, you agree to be bound by these Terms.If you do not accept these Terms in their entirety, you must not download, use or access this App. Terms in …
Evidence Solutions | Real-World Evidence | Flatiron Health
Flatiron Horizon is the driving force behind our real-world evidence solutions, seamlessly integrating the richest labeled oncology data in the world, Flatiron’s proprietary curation …
Flatiron Health Expands Beyond Real-World Data, Providing End …
Flatiron Health is a healthtech company expanding the possibilities for point of care solutions in oncology and using data for good to power smarter care for every person with cancer. Through …
Point of Care Solutions for Oncology | Flatiron Health
Designed by oncologists and world-class engineers, Flatiron technology helps cancer centers remain financially viable, run more efficient clinical trials, and stay one step ahead of healthcare …
Teams at Flatiron | Flatiron Health
At Flatiron, across our global organization, you’ll find multidisciplinary teams designed to drive global transformation in cancer care, research, and treatment. From software engineers to …
Open Positions | Flatiron Health
Stay in the know by joining our talent community. We’ll keep you up-to-date on all the latest events, activities and opportunities at Flatiron Health.
Expanding the possibilities of oncology care with OncoEMR®
Technology should support the evolution of oncology care, not get in the way. Here’s how Flatiron Health is delivering on the promises of technology by facilitating information flow, reducing …
Flatiron Health | Reimagining the infrastructure of cancer care
Clinicians, researchers, and regulators rely on Flatiron technology and evidence to learn faster and power smarter care for every patient. Because transforming cancer care takes all of us.
Careers | Flatiron Health
A career at Flatiron is a chance to work alongside some of the brightest and most compassionate minds in oncology, technology, and research.
Company | Flatiron Health
FLATIRON HEALTH® is a healthtech company dedicated to improving cancer treatment and advancing research. As the pioneer in real-world evidence for oncology, we provide technology …
Login - Flatiron
By downloading, using or accessing this App, you agree to be bound by these Terms.If you do not accept these Terms in their entirety, you must not download, use or access this App. Terms in …
Evidence Solutions | Real-World Evidence | Flatiron Health
Flatiron Horizon is the driving force behind our real-world evidence solutions, seamlessly integrating the richest labeled oncology data in the world, Flatiron’s proprietary curation methods and …
Flatiron Health Expands Beyond Real-World Data, Providing End-to …
Flatiron Health is a healthtech company expanding the possibilities for point of care solutions in oncology and using data for good to power smarter care for every person with cancer. Through …
Point of Care Solutions for Oncology | Flatiron Health
Designed by oncologists and world-class engineers, Flatiron technology helps cancer centers remain financially viable, run more efficient clinical trials, and stay one step ahead of healthcare …
Teams at Flatiron | Flatiron Health
At Flatiron, across our global organization, you’ll find multidisciplinary teams designed to drive global transformation in cancer care, research, and treatment. From software engineers to …
Open Positions | Flatiron Health
Stay in the know by joining our talent community. We’ll keep you up-to-date on all the latest events, activities and opportunities at Flatiron Health.
Expanding the possibilities of oncology care with OncoEMR® - Flatiron
Technology should support the evolution of oncology care, not get in the way. Here’s how Flatiron Health is delivering on the promises of technology by facilitating information flow, reducing …
