Top Trends for 2020

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

A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes

Understand the concepts and methodologies to manage and deliver top-notch Data Science solutions for your organization.

Build, deploy and improve highly profitable real-world automated end to end algorithmic trading systems and trading strategies using Python programming and advanced data analysis.

Simplify your DevOps roles with DevOps tools and techniques

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science

Become an AWS SysOps administrator and explore best practices to maintain a well-architected, resilient, and secure AWS environment

Explore the blockchain-based decentralized platform and understand how Ethereum works with Dapps examples

A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0

Solve business challenges with Microsoft Power BI's advanced visualization and data analysis techniques

Proven, actionable ways to install, manage, secure and monitor your vSphere 6.7 environments

Become an expert at managing enterprise identity infrastructure by leveraging Active Directory

An expert guide to helping you use DevOps techniques with the latest GitLab version to optimize and manage your software workflow

Combine popular machine learning techniques to create ensemble models using Python