Programming

Our online library contains some publications, thanks to which programming will have no secrets from you. The books included here will introduce you to such languages as HTML, JavaScript, Python and CSS. Due to them, you will also learn how to create effective algorithms, design mobile applications or take care of the correct information architecture on websites.

Hands-On Linux Administration on Azure. Explore the essential Linux administration skills you need to deploy and manage Azure-based workloads

Frederik Vos

Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python

Stefan Jansen

Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem

Soma Halder, Sinan Ozdemir

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, ...

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines

Kirill Kolodiazhnyi

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines - Second Edition

Kirill Kolodiazhnyi

Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning

Burak Kanber

Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

Jarred Capellman

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr

Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

Kai Sasaki

Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem

Ankur Ankan, Abinash Panda

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Sudharsan Ravichandiran

Hands-On Microservices - Monitoring and Testing. A performance engineer's guide to the continuous testing and monitoring of microservices

Dinesh Rajput

Hands-On Microservices with C#. Designing a real-world, enterprise-grade microservice ecosystem with the efficiency of C# 7

Matt R. Cole