by Mihalis Tsoukalos
Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition.Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides example...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019
FREE EBOOK - Automated Machine Learning 
by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used ...
Price: $40.42 | Publisher: Springer | Release: 2019
FREE EBOOK - Introduction to Data Science
by Rafael A Irizarry
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualizati...
Publisher: Leanpub | Release: 2019
Learn Keras for Deep Neural Networks
by Jojo John Moolayil
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.The overall book comprises three sections with two chapters in each section. The first section prepares...
Price: $9.99 | Publisher: Apress | Release: 2019
by Robert Johansson
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computin...
Price: $40.24 | Publisher: Apress | Release: 2019
Text Analytics with Python, 2nd Edition
by Dipanjan Sarkar
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models ...
Price: $20.87 | Publisher: Apress | Release: 2019
Data Science from Scratch, 2nd Edition
by Joel Grus
To really learn data science, you should not only master the tools - data science libraries, frameworks, modules, and toolkits - but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skill...
Price: $22.31 | Publisher: O'Reilly Media | Release: 2019
Cloud Native Data Center Networking
by Dinesh Dutt
If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you're pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that's affordable, high capacity, easy to manage, agile, and reliab...
Price: $39.21 | Publisher: O'Reilly Media | Release: 2019
by Mark Needham, Amy Hodler
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.Mark Needham and Amy Hodler from Neo4j explain how g...
Price: $45.63 | Publisher: O'Reilly Media | Release: 2019
by Brendan Burns, Eddie Villalba, Dave Strebel, Lachlan Evenson
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples....
Price: $39.33 | Publisher: O'Reilly Media | Release: 2019