These deals are good for today only, so be sure to take advantage of the pricing before the offers expire.
Free Packt eBook by Sinan Ozdemir (valid through 10/10 at 19:00 EST). This book covers Data Science, Python, Bayesian, Frequentist, Machine Learning, Naive Bayes, Unsupervised Learning, K-Means Clustering, Neural Networks.
Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.
With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.
What You Will Learn
- Get to know the five most important steps of data science
- Use your data intelligently and learn how to handle it with care
- Bridge the gap between mathematics and programming
- Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results
- Build and evaluate baseline machine learning models
- Explore the most effective metrics to determine the success of your machine learning models
- Create data visualizations that communicate actionable insights
- Read and apply machine learning concepts to your problems and make actual predictions
About the Author
Sinan Ozdemir is a data scientist, startup founder, and educator living in the San Francisco Bay Area with his dog, Charlie; cat, Euclid; and bearded dragon, Fiero. He spent his academic career studying pure mathematics at Johns Hopkins University before transitioning to education. He spent several years conducting lectures on data science at Johns Hopkins University and at the General Assembly before founding his own start-up, Legion Analytics, which uses artificial intelligence and data science to power enterprise sales teams.
After completing the Fellowship at the Y Combinator accelerator, Sinan has spent most of his days working on his fast-growing company, while creating educational material for data science.
$9.99 PHP Arrays
$9.99 Apress eBook by Steve Prettyman. This book covers PHP 7, MySQL.
- A unique PHP 7 arrays book to market
- Details when arrays should be used, and how they can improve efficiency
Gain an in-depth understanding of PHP 7 arrays. After a quick overview of PHP 7, each chapter concentrates on single, multi-dimensional, associative, and object arrays. PHP Arrays is a first of its kind book using PHP 7 that demonstrates inserting, appending, updating, and deleting array data.
This book also covers validation methods to insure that the data provided by a user is good before the data is entered into an array. You’ll see how PHP 7 try/catch modules are used to capture exceptions and errors that may be caused by invalid data.
The code examples demonstrate common real-world scenarios. Moreover, examples of every PHP 7 array function (over 75) are demonstrated. The appendix provides a two-dimensional array case study on the logical design of a checkers game.
PHP Arrays answers the following questions:
- Why do we need arrays? When do we need to use arrays?
- Are arrays efficient? Can arrays reduce coding time?
- When do you use multi-dimensional and associative arrays?
- What is an object array?
What You’ll Learn
- Handle array data from an HTML form
- Manage array data from a text file
- Deal with array data from a MySQL database
Who This Book Is For
Experienced PHP programmers or web developers using PHP.
About the Author
Steve Prettyman is a college lecturer/instructor in web development/programming, specializing in PHP. He is also an experienced web developer and author.
50% off Manning’s eBook by J.D. Isaacks. This book covers ECMAScript 2016, Babel, Browserify.
- Learn the new features of ES6 (ES2015)
- Setup an ES6/7 project using Babel and Browserify
- Writing elegant asynchronous code with async functions, generators, and promises
- Using classes instead of constructors
- Creating custom iterables and modifying built in ones
- Using and troubleshooting modules and classes to build complex applications
About the reader
About the author
50% off Manning’s eBook by Elijah Meeks. This book covers d3.js v4, Data Visualization, ES6.
D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It’s a practical tutorial for creating interactive graphics and data-driven applications using D3. It includes instructions on how to use D3 modules with npm, as well as how to integrate D3 with modern MVC frameworks like React.js. You’ll start with in-depth explanations of D3’s out-of-the-box layouts, along with dozens of real-world use cases that align with different types of visualizations. Then, you’ll explore techniques for content creation, animation, and representing dynamic data including interactive graphics and data streamed live over the web. The final chapters show you how to use more complex D3 functionality to improve performance and build a complete web application. By the end, you’ll be ready to integrate D3.js into your web development process and add data visualization to transform any site or internal application.
- Updated for D3 v4 and ES6
- Interacting with vector graphics
- Expressive data visualization
- Creating rich mapping applications
- Prepping your data
- Complete data-driven web apps in D3
About the reader
About the author
Elijah Meeks is a senior data visualization engineer at Netflix. His D3.js portfolio includes work at Stanford University and with well-known companies worldwide.
GET MORE WITH MANNING
An eBook copy of the previous edition, D3.js in Action (First Edition), is included at no additional cost. It will be automatically added to your Manning Bookshelf within 24 hours of purchase.
About the technology
About the book
- Writing more effective code with functions, objects, and closures
- Using regular expressions to write succinct text-processing code
- Managing asynchronous code with promises
- Fully revised to cover concepts from ES6 and ES7
About the reader
You don’t have to be a ninja to read this book—just be willing to become one. Are you ready?
About the authors
Josip Maras is a post-doctoral researcher and teacher.
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$19.99 Springer eBook by Max Bramer. This book covers Data Mining, Algorithms, Naïve Bayes, Nearest Neighbour, Decision Tree Induction, Continuous Attributes, Data Entropy, Ensemble Classification, Association Rule, Data Clustering, Text Mining, Streaming Data, Concept Drift.
- Presents the principal techniques of data mining with particular emphasis on explaining and motivating the techniques used
- Focuses on understanding of the basic algorithms and awareness of their strengths and weaknesses
- Does not require a strong mathematical or statistical background
- Useful as a textbook and also for self-study
- Expanded third edition includes detailed descriptions of algorithms for classifying streaming data
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.
Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.
It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.
As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the ‘black box’ so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.
Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.
This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
About the Author
Max Bramer is Emeritus Professor of Information Technology at the University of Portsmouth, England, Vice-President of the International Federation for Information Processing (IFIP) and Chair of the British Computer Society Specialist Group on Artificial Intelligence.
He has been actively involved since the 1980s in the field that has since come to be called by names such as Data Mining, Knowledge Discovery in Databases, Big Data and Predictive Analytics. He has carried out many projects in the field, particularly in relation to automatic classification of data, and has published extensively in the technical literature. He has taught the subject to both undergraduate and postgraduate students for many years.
Some of Max Bramer’s other Springer publications include:
- Research and Development in Intelligent Systems
- Artificial Intelligence in Theory and Practice
- Artificial Intelligence: an International Perspective
- Logic Programming with Prolog
- Web Programming with PHP and MySQL
- Nexus Framework for Scaling Scrum, The (Book) by Dave West, Patricia Kong, Kurt Bittner
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Business Expert Press
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O’Reilly Media, Inc.
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