Cut through the noise and get real results with a step-by-step approach to learning SQL

Unleash the power of Python libraries like Gensim, NLTK, SpaCy, and Keras to solve common and not-so-common challenges faced in the NLP domain.

Applied machine learning with a solid foundation in theory. Revised and expanded with TensorFlow 2, GANs, and reinforcement learning.

Master PostgreSQL 12 features such as advanced indexing, high availability, monitoring, and much more to efficiently manage and maintain your database

Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization

Take your enterprise application development skills to the next level by mastering parallel programming techniques in .NET and C#.

Build powerful deep learning models using fewer learning samples with the power of scikit-learn and Keras

Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and Deep Neuroevolution.

Learn the essential background and model functioning of various neural network architectures such as CNN. RNN. LSTM, GANs, Autoencoders and more using best practices from an industry expert

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively

Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models

Build powerful artificial intelligent applications using Hyperledger, Ethereum, Corda, Chain Core, Quorum, IOTA and more

Make your foray into the world of real-world financial applications using artificial intelligence (AI) and production-grade data feeds and technology

A new edition of the bestselling guide to Deep Reinforcement Learning and how it can be used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more

Build machine and deep learning systems with the newly released TensorFlow 2.0 and Keras for the lab, production, and mobile devices