Big data

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework

Willem Meints

Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python

David Julian

Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Maxim Lapan

Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight

Rajesh Nadipalli

Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework

Aniruddha Deswandikar

Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python

Dipayan Sarkar, Vijayalakshmi Natarajan

Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities

Leonard S. Woody III

Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps

Manoj P R

Excel 2010 PL. Ilustrowany przewodnik

Krzysztof Masłowski

Excel 2010 PL. Kurs

Witold Wrotek

Excel 2013 PL. Kurs

Witold Wrotek

Excel 2016 PL. Biblia

John Walkenbach

fastText Quick Start Guide. Get started with Facebook's library for text representation and classification

Joydeep Bhattacharjee

Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems

Sinan Ozdemir, Divya Susarla

Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again

Lisandra Maioli

Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark

Frank Kane