Automate data and model pipelines for faster machine learning applications

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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.

Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.

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Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

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Become a Python programmer–and have fun doing it!

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Gain a Working Knowledge of the Entire Microprocessor Design Flow

This book will teach the concepts of test driven development in Java so you can build clean, maintainable and robust code

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Successfully scrape data from any website with the power of Python 3.x

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Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef

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Learn everything you need to get up and running with cutting-edge API development using JavaScript and Node.js; ideal for data-intensive real-time applications that run across multiple platforms.

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