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| | Algorithms For Interviews
Algorithms for Interviews (AFI) aims to help engineers interviewing for
software development positions. The primary focus of AFI is algorithm
design. The entire book is presented through problems interspersed with
discussions. The problems cover key concepts and are well-motivated,
challenging, and fun to solve.
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Distributed Algorithms: An Intuitive Approach (The MIT Press)
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.
This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical... | | TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects... | | Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve... |
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