Get to grips with key structural changes in TensorFlow 2.0

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

Begin as a novice and become an expert data scientist who implements linear algebra through Python programs

Leverage the power of SQL Server 2017 integration services to build data integration solutions with ease

A beginner's guide to analyzing and visualizing your Elasticsearch data using Kibana 7 and Timelion

A comprehensive guide to designing and developing neural-network based solutions using various modules offerings of Tensorflow 2.0

Combine popular machine learning techniques to create ensemble models using Python

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets

Build and train neural network models with high speed and flexibility in text, vision, and advanced analytics using PyTorch 1.x

Master the intricacies of Elasticsearch 7.0 and use it to create flexible and scalable search solutions