Tanmay Teaches Julia For Beginners A Springboard To Machine Learning For All Ages

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Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

Author : Tanmay Bakshi
Publisher : McGraw Hill Professional
ISBN 13 : 1260456641
Total Pages : 191 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages by : Tanmay Bakshi

Download or read book Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages written by Tanmay Bakshi and published by McGraw Hill Professional. This book was released on 2019-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A quick guide to start writing your own fun and useful Julia apps—no prior experience required! This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to: • Set up and configure your Julia environment • Get up and running writing your own Julia apps • Define variables and use them in your programs • Use conditions, iterations, for-loops, and while-loops • Create, go through, and modify arrays • Build an app to manage things you lend and get back from your friends • Create and utilize dictionaries • Simplify maintenance of your code using functions • Apply functions on arrays and use functions recursively and generically • Understand and program basic machine learning apps

Think Julia

Author : Ben Lauwens
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492044989
Total Pages : 298 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Think Julia by : Ben Lauwens

Download or read book Think Julia written by Ben Lauwens and published by "O'Reilly Media, Inc.". This book was released on 2019-04-05 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies

How Computers Really Work

Author : Matthew Justice
Publisher : No Starch Press
ISBN 13 : 171850067X
Total Pages : 394 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis How Computers Really Work by : Matthew Justice

Download or read book How Computers Really Work written by Matthew Justice and published by No Starch Press. This book was released on 2020-12-29 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: An approachable, hands-on guide to understanding how computers work, from low-level circuits to high-level code. How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: Think like a software engineer as you use data to describe a real world concept Use Ohm's and Kirchhoff's laws to analyze an electrical circuit Think like a computer as you practice binary addition and execute a program in your mind, step-by-step The book's projects will have you translate your learning into action, as you: Learn how to use a multimeter to measure resistance, current, and voltage Build a half adder to see how logical operations in hardware can be combined to perform useful functions Write a program in assembly language, then examine the resulting machine code Learn to use a debugger, disassemble code, and hack a program to change its behavior without changing the source code Use a port scanner to see which internet ports your computer has open Run your own server and get a solid crash course on how the web works And since a picture is worth a thousand bytes, chapters are filled with detailed diagrams and illustrations to help clarify technical complexities. Requirements: The projects require a variety of hardware - electronics projects need a breadboard, power supply, and various circuit components; software projects are performed on a Raspberry Pi. Appendix B contains a complete list. Even if you skip the projects, the book's major concepts are clearly presented in the main text.

The Art of 64-Bit Assembly, Volume 1

Author : Randall Hyde
Publisher : No Starch Press
ISBN 13 : 1718501080
Total Pages : 1034 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis The Art of 64-Bit Assembly, Volume 1 by : Randall Hyde

Download or read book The Art of 64-Bit Assembly, Volume 1 written by Randall Hyde and published by No Starch Press. This book was released on 2021-11-30 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new assembly language programming book from a well-loved master. Art of 64-bit Assembly Language capitalizes on the long-lived success of Hyde's seminal The Art of Assembly Language. Randall Hyde's The Art of Assembly Language has been the go-to book for learning assembly language for decades. Hyde's latest work, Art of 64-bit Assembly Language is the 64-bit version of this popular text. This book guides you through the maze of assembly language programming by showing how to write assembly code that mimics operations in High-Level Languages. This leverages your HLL knowledge to rapidly understand x86-64 assembly language. This new work uses the Microsoft Macro Assembler (MASM), the most popular x86-64 assembler today. Hyde covers the standard integer set, as well as the x87 FPU, SIMD parallel instructions, SIMD scalar instructions (including high-performance floating-point instructions), and MASM's very powerful macro facilities. You'll learn in detail: how to implement high-level language data and control structures in assembly language; how to write parallel algorithms using the SIMD (single-instruction, multiple-data) instructions on the x86-64; and how to write stand alone assembly programs and assembly code to link with HLL code. You'll also learn how to optimize certain algorithms in assembly to produce faster code.

Hello Swift!

Author : Puneet Bakshi
Publisher : Simon and Schuster
ISBN 13 : 1638355827
Total Pages : 613 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Hello Swift! by : Puneet Bakshi

Download or read book Hello Swift! written by Puneet Bakshi and published by Simon and Schuster. This book was released on 2019-04-19 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Hello Swift! is a how-to guide to programming iOS Apps with the Swift language, written from a kid's perspective. This approachable, well-illustrated, step-by-step guide takes you from beginning programming concepts all the way through developing complete apps. (Adults will like it too!) Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology It's fun to play games and explore new things on your iPhone. How amazing would it be to create your own apps? With a little practice, you can! Apple's Swift language, along with special coding playgrounds and an easy-to-use programming environment, make it easier than ever. Take it from author Tanmay Bakshi, who started programming when he was just five years old. About the Book His book, Hello Swift! iOS app programming for kids and other beginners, teaches you how to write apps for iPhones and iOS devices step by step, starting with your first line of Swift code. Packed with dozens of apps and special exercises, the book will teach you how to program by writing games, solving puzzles, and exploring what your iPhone can do. Hello Swift! gets you started. Where you go next is up to you! What's inside Crystal-clear explanations anyone can understand Kid-friendly examples, including games and puzzles Learn by doing—you'll build dozens of small apps Exercises that encourage critical thinking About the Reader Written for kids who want to learn how to program. (Psst! Adults like it, too.) About the Author Tanmay Bakshi had his first app on the iOS App Store at the age of nine. He's now the youngest IBM Champion, a Cloud Advisor, Watson Developer, TED Speaker, and Manning author! Table of Contents Get ready to build apps with Swift! Create your first app Your first real Swift code using variables I/O laboratory Computers make decisions, too! Let computers do repetitive work Knitting variables into arrays and dictionaries Reuse your code: Clean it with function detergent Reduce your code: Use less, do more with class detergent Reading and writing files Frameworks: Bookshelves of classes SpriteKit: Fun animation time Time to watch your WatchKit code Continuing your journey with Swift

Julia Programming Projects

Author : Adrian Salceanu
Publisher : Packt Publishing Ltd
ISBN 13 : 1788297253
Total Pages : 494 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Julia Programming Projects by : Adrian Salceanu

Download or read book Julia Programming Projects written by Adrian Salceanu and published by Packt Publishing Ltd. This book was released on 2018-12-26 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools Key FeaturesWork with powerful open-source libraries for data wrangling, analysis, and visualizationDevelop full-featured, full-stack web applications Learn to perform supervised and unsupervised machine learning and time series analysis with JuliaBook Description Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI. Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting. We'll close with package development, documenting, testing and benchmarking. By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia. What you will learnLeverage Julia's strengths, its top packages, and main IDE optionsAnalyze and manipulate datasets using Julia and DataFramesWrite complex code while building real-life Julia applicationsDevelop and run a web app using Julia and the HTTP packageBuild a recommender system using supervised machine learning Perform exploratory data analysis Apply unsupervised machine learning algorithmsPerform time series data analysis, visualization, and forecastingWho this book is for Data scientists, statisticians, business analysts, and developers who are interested in learning how to use Julia to crunch numbers, analyze data and build apps will find this book useful. A basic knowledge of programming is assumed.

Cognitive Computing with IBM Watson

Author : Rob High
Publisher : Packt Publishing Ltd
ISBN 13 : 1788478983
Total Pages : 247 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Cognitive Computing with IBM Watson by : Rob High

Download or read book Cognitive Computing with IBM Watson written by Rob High and published by Packt Publishing Ltd. This book was released on 2019-04-30 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand, design, and create cognitive applications using Watson’s suite of APIs. Key FeaturesDevelop your skills and work with IBM Watson APIs to build efficient and powerful cognitive appsLearn how to build smart apps to carry out different sets of activities using real-world use casesGet well versed with the best practices of IBM Watson and implement them in your daily workBook Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system grows. This book introduces readers to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI through the set of APIs provided by IBM Watson. This book will help you build your own applications to understand, plan, and solve problems, and analyze them as per your needs. You will learn about various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems, using different IBM Watson APIs. From this, the reader will learn what ML is, and what goes on in the background to make computers "do their magic," as well as where these concepts have been applied. Having achieved this, the readers will then be able to embark on their journey of learning, researching, and applying the concept in their respective fields. What you will learnGet well versed with the APIs provided by IBM Watson on IBM CloudLearn ML, AI, cognitive computing, and neural network principlesImplement smart applications in fields such as healthcare, entertainment, security, and moreUnderstand unstructured content using cognitive metadata with the help of Natural Language UnderstandingUse Watson’s APIs to create real-life applications to realize their capabilitiesDelve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and moreWho this book is for This book is for beginners and novices; having some knowledge about artificial intelligence and deep learning is an advantage, but not a prerequisite to benefit from this book. We explain the concept of deep learning and artificial intelligence through the set of tools IBM Watson provides.

The Little Book of Julia Algorithms

Author : Ahan Sengupta
Publisher :
ISBN 13 : 9781637540008
Total Pages : pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis The Little Book of Julia Algorithms by : Ahan Sengupta

Download or read book The Little Book of Julia Algorithms written by Ahan Sengupta and published by . This book was released on 2022-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeted at middle and high school programmers, this book aims to explain basic computer science concepts while teaching the Julia programming language. As a fast and productive high level language, Julia is ideal for beginner programmers. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts. The book contains 50 programming challenges that encourages the reader to write their own programs. The solutions to all challenges are given at the end of the book. This book will make readers comfortable with using computers to solve any problems, and leave them well prepared for more significant programming in their maths, science or computer science courses at college. After finishing the exercises in this book, the reader should feel more familiar with: Loops and conditionals, Structuring code with functions, Reading and writing files, Installing and using packages, Sorting and searching, and Simple Statistics and Plotting. With a foreword by Jeff Bezanson, co-creator of the Julia programming language.

Getting Started with Julia

Author : Ivo Balbaert
Publisher : Packt Publishing Ltd
ISBN 13 : 1783284803
Total Pages : 214 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Getting Started with Julia by : Ivo Balbaert

Download or read book Getting Started with Julia written by Ivo Balbaert and published by Packt Publishing Ltd. This book was released on 2015-02-26 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.

Mastering Julia

Author : Malcolm Sherrington
Publisher : Packt Publishing Ltd
ISBN 13 : 1783553324
Total Pages : 410 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering Julia by : Malcolm Sherrington

Download or read book Mastering Julia written by Malcolm Sherrington and published by Packt Publishing Ltd. This book was released on 2015-07-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.

Tanmay Teaches Go: The Ideal Language for Backend Developers

Author : Tanmay Bakshi
Publisher : McGraw Hill Professional
ISBN 13 : 1264258151
Total Pages : 208 pages
Book Rating : 4.2/5 (642 download)

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Book Synopsis Tanmay Teaches Go: The Ideal Language for Backend Developers by : Tanmay Bakshi

Download or read book Tanmay Teaches Go: The Ideal Language for Backend Developers written by Tanmay Bakshi and published by McGraw Hill Professional. This book was released on 2021-05-28 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Write your own efficient, performant, and lightweight programs using Go Quickly start developing your own Google Go programs using the practical information contained in this engaging resource. Social media personalities Tanmay Bakshi and Baheer Kamal show, step by step, how to develop custom applications that fully utilize Go’s lightweight runtime and concurrency features. Tanmay Teaches Go: The Ideal Language for Backend Developers teaches by doing. This book guides you through the development and programming processes and features detailed examples, code samples, and time-saving tips. Inside, you’ll learn to: Install Go on Windows, Linux, or macOS devices Get up and running with writing your own Go apps Define variables and use them in your programs Work with statements, functions, loops, and arrays Use Go modules to simplify program development Utilize built-in and third-party packages Write custom packages that fit your programming needs Understand classic structures and algorithms Improve performance using Go routines and concurrency Import external code—even code not written in Go!

Data Science for Beginners

Author : Leonard Deep
Publisher :
ISBN 13 : 9781076939685
Total Pages : 356 pages
Book Rating : 4.9/5 (396 download)

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Book Synopsis Data Science for Beginners by : Leonard Deep

Download or read book Data Science for Beginners written by Leonard Deep and published by . This book was released on 2019-07-03 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★★ Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Have you ever wondered how speech recognition and search engines really work? Do you wish you could get a machine to do more of your tasks? Even if you are brand new to programming, you can learn how to use Python and Machine Learning to make your life easier or develop a satisfying career in a growth industry. You probably use Machine Learning countless times daily. Your search engine or a chess app, the GPS that gives you turn-by-turn driving directions, an app that predicts the next word you want to type or translates your voice to text: they all use Machine Learning. If you are interested in programming and want to understand Python and Machine Learning, the thoughtful, systematic approach to learning in this two-volume bundle will help you get started in this growing field even if you are a novice. Machine Learning for Beginnerscovers the basic knowledge you need and explores all of the cool accomplishments this kind of programming language allows. It answers these and other questions: What is data science and why is it important? What is machine learning and what the benefits of this kind of programming? What is the difference between machine learning and artificial intelligence? What basics and building blocks do you need to know about machine learning? How do supervised machine learning, unsupervised machine learning, and reinforcement machine learning differ? What tips will help you the most out of machine learning? Python Machine Learning for Beginners, the ultimate guide for newbies, provides easy-to-understand chapters to guide you through the early stages of Python programming, considered an excellent program choice for beginners. Topics include: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Python Machine Learning for Beginnersuses examples and exercises to help you retain the information. Machine Learning for Beginners provides the tools you need to enjoy the many benefits of using machine learning for some of your programming needs. Scroll back up to the top of this page and hit BUY IT NOW to get your copy and start learning how to write your own machine learning programs.

Python Machine Learning

Author : Andrew Park
Publisher : Andrew Park
ISBN 13 : 9781801770286
Total Pages : 162 pages
Book Rating : 4.7/5 (72 download)

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Book Synopsis Python Machine Learning by : Andrew Park

Download or read book Python Machine Learning written by Andrew Park and published by Andrew Park. This book was released on 2021-04-27 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ 55% OFF for Bookstores! NOW at $ 13.49 instead of $ 29.97! LAST DAYS! ★ Do you want to learn how to design and master different Machine Learning algorithms quickly and easily?Your Customers Will Love This Amazing Guide! Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. The computations machines can perform on data are incredible, beyond anything a human brain could do. Once we introduce data to a machine learning model, we must create an environment where we update the data stream frequently. This builds the machine's learning ability. The more data Machine Learning models are exposed to, the easier it is for these models to expand their potential. Some of the topics that we will discuss inside include: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Supervised learning, unsupervised learning, and semi-supervised learning The place of Regression techniques in Machine Learning, including Linear Regression in Python Machine learning training models How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python What is the Tensorflow library Artificial Neural Networks And Much More! While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms. Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Would You Like To Know More? Buy It NOW And Let Your Customers Get Addicted To This Amazing Book!

PowerShell for Sysadmins

Author : Adam Bertram
Publisher : No Starch Press
ISBN 13 : 1593279183
Total Pages : 321 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis PowerShell for Sysadmins by : Adam Bertram

Download or read book PowerShell for Sysadmins written by Adam Bertram and published by No Starch Press. This book was released on 2020-02-04 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use PowerShell, Microsoft's scripting language, to automate real-world tasks that IT professionals and system administrators deal with every day. Save Time. Automate. PowerShell® is both a scripting language and an administrative shell that lets you control and automate nearly every aspect of IT. In PowerShell for Sysadmins, five-time Microsoft® MVP "Adam the Automator" Bertram shows you how to use PowerShell to manage and automate your desktop and server environments so that you can head out for an early lunch. You'll learn how to: Combine commands, control flow, handle errors, write scripts, run scripts remotely, and test scripts with the PowerShell testing framework, Pester Parse structured data like XML and JSON, work with common domains (like Active Directory, Azure, and Amazon Web Services), and create a real-world server inventory script Design and build a PowerShell module to demonstrate PowerShell isn't just about ad-hoc scripts Use PowerShell to create a hands-off, completely automated Windows deployment Build an entire Active Directory forest from nothing but a Hyper-V host and a few ISO files Create endless Web and SQL servers with just a few lines of code! Real-world examples throughout help bridge the gap between theory and actual system, and the author's anecdotes keep things lively. Stop with the expensive software and fancy consultants. Learn how to manage your own environment with PowerShell for Sysadmins and make everyone happy. Covers Windows PowerShell v5.1

Julia Programming for Operations Research

Author : Changhyun Kwon
Publisher : Changhyun Kwon
ISBN 13 : 1798205475
Total Pages : 262 pages
Book Rating : 4.7/5 (982 download)

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Book Synopsis Julia Programming for Operations Research by : Changhyun Kwon

Download or read book Julia Programming for Operations Research written by Changhyun Kwon and published by Changhyun Kwon. This book was released on 2019-03-03 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself. He is a professor in the field of operations research, and his daily activities involve building models of mathematical optimization, developing algorithms for solving the problems, implementing those algorithms using computer programming languages, experimenting with data, etc. Three languages are involved: human language, mathematical language, and computer language. His team of students need to go over three different languages, which requires "translation" among the three languages. As this book was written to teach his research group how to translate, this book will also be useful for anyone who needs to learn how to translate in a similar situation. The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, Julia makes a perfect tool for students and professionals in operations research and related areas such as industrial engineering, management science, transportation engineering, economics, and regional science. For more information, visit: http://www.chkwon.net/julia

Rethinking Mathematics

Author : Eric Gutstein
Publisher : Rethinking Schools
ISBN 13 : 0942961544
Total Pages : 192 pages
Book Rating : 4.9/5 (429 download)

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Book Synopsis Rethinking Mathematics by : Eric Gutstein

Download or read book Rethinking Mathematics written by Eric Gutstein and published by Rethinking Schools. This book was released on 2005 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this unique collection, more than 30 articles show how to weave social justice issues throughout the mathematics curriculum, as well as how to integrate mathematics into other curricular areas. Rethinking Mathematics offers teaching ideas, lesson plans, and reflections by practitioners and mathematics educators. This is real-world math-math that helps students analyze problems as they gain essential academic skills. This book offers hope and guidance for teachers to enliven and strengthen their math teaching. It will deepen students' understanding of society and help prepare them to be critical, active participants in a democracy. Blending theory and practice, this is the only resource of its kind.

Python Machine Learning for Beginners

Author : Ai Publishing
Publisher :
ISBN 13 : 9781734790153
Total Pages : 302 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Python Machine Learning for Beginners by : Ai Publishing

Download or read book Python Machine Learning for Beginners written by Ai Publishing and published by . This book was released on 2020-10-23 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a significant amount of data and evidence, it's obvious that ML and AI are here to stay.Consider any industry today. The practical applications of ML are really driving business results. Whether it's healthcare, e-commerce, government, transportation, social media sites, financial services, manufacturing, oil and gas, marketing and salesYou name it. The list goes on. There's no doubt that ML is going to play a decisive role in every domain in the future.But what does a Machine Learning professional do?A Machine Learning specialist develops intelligent algorithms that learn from data and also adapt to the data quickly. Then, these high-end algorithms make accurate predictions. Python Machine Learning for Beginners presents you with a hands-on approach to learn ML fast.How Is This Book Different?AI Publishing strongly believes in learning by doing methodology. With this in mind, we have crafted this book with care. You will find that the emphasis on the theoretical aspects of machine learning is equal to the emphasis on the practical aspects of the subject matter.You'll learn about data analysis and visualization in great detail in the first half of the book. Then, in the second half, you'll learn about machine learning and statistical models for data science.Each chapter presents you with the theoretical framework behind the different data science and machine learning techniques, and practical examples illustrate the working of these techniques.When you buy this book, your learning journey becomes so much easier. The reason is you get instant access to all the related learning material presented with this book--references, PDFs, Python codes, and exercises--on the publisher's website. All this material is available to you at no extra cost. You can download the ML datasets used in this book at runtime, or you can access them via the Resources/Datasets folder.You'll also find the short course on Python programming in the second chapter immensely useful, especially if you are new to Python. Since this book gives you access to all the Python codes and datasets, you only need access to a computer with the internet to get started. The topics covered include: Introduction and Environment Setup Python Crash Course Python NumPy Library for Data Analysis Introduction to Pandas Library for Data Analysis Data Visualization via Matplotlib, Seaborn, and Pandas Libraries Solving Regression Problems in ML Using Sklearn Library Solving Classification Problems in ML Using Sklearn Library Data Clustering with ML Using Sklearn Library Deep Learning with Python TensorFlow 2.0 Dimensionality Reduction with PCA and LDA Using Sklearn Click the BUY NOW button to start your Machine Learning journey.