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Informatik: Theorie / Studium

9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Techniques to perform data manipulation and mining to build smart analytical models using R

Implement probabilistic models for learning complex data sequences using the Python ecosystem

Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Utilize the right mix of tools to create high-performance data science applications

Patterns and Paradigms for Scalable, Reliable Services

A practical approach to building neural network models using PyTorch

Big Data Processing Made Simple

Data exploration, modeling, and advanced analytics

Eine umfassende Einführung

Principles and Techniques for Data Scientists

Solve complex computational web problems using machine learning

Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Get started with Facebook's library for text representation and classification

Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner

Over 90 recipes to build and customize AI entities for your games with Unity, 2nd Edition

Eight exciting projects that put artificial intelligence into practice for optimal business performance