by Francois Chollet
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-h...
Price: $10.50 | Publisher: Manning | Release: 2017
by Brian Okken
For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - with no boilerplate code.With simple step-by-step instructi...
Price: $30.54 | Publisher: The Pragmatic Programmers | Release: 2017
Practical Programming, 3rd Edition 
by Paul Gries, Jennifer Campbell, Jason Montojo
No programming experience required! Incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), discover a five-step recipe for designing functions, which helps you learn the concepts - and becomes an integral part of writing programs.In this detailed intro...
Price: $38.49 | Publisher: The Pragmatic Programmers | Release: 2017
by Sivakumaran Raman
If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer.However, if you have looked at a standard text on R or read some of...
Publisher: Self-publishing | Release: 2017
AWS for Developers For Dummies 
by John Paul Mueller
Modern businesses rely on Infrastructure-as-a-Service (IaaS) - a setup in which someone else foots the bill to create application environments - and developers are expected to know how to write both platform-specific and IaaS-supported applications. If you're a developer who writes desktop and web applications but have little-to-no experience with cloud development, this book is an essential tool in ge...
Price: $19.38 | Publisher: Wiley | Release: 2017
by John Paul Mueller, Bill Sempf, Chuck Sphar
C# know-how is a must if you want to be a professional Microsoft developer. It's also good to know a little C# if you're building tools for the web, mobile apps, or other development tasks. C# 7.0 All-in-One For Dummies offers a deep dive into C# for coders still learning the nuances of the valuable programming language. Pop it open to get an intro into coding with C#, how to design secure apps an...
Price: $5.48 | Publisher: Wiley | Release: 2017
Pro Deep Learning with TensorFlow
by Santanu Pattanayak
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you t...
Price: $4.99 | Publisher: Apress | Release: 2017
by Nikhil Buduma
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.Companies such as Google, Microsoft, and Facebook are actively growing in-house de...
Price: $30.45 | Publisher: O'Reilly Media | Release: 2017
by Michael Brzustowicz
Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science p...
Price: $27.33 | Publisher: O'Reilly Media | Release: 2017
by Russell Jurney
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Ru...
Price: $28.00 | Publisher: O'Reilly Media | Release: 2017