Big data

Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Pratap Dangeti

Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics

Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

Streamlit for Data Science. Create interactive data apps in Python - Second Edition

Tyler Richards, Adrien Treuille

Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide

Abdulrahman Kerim

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions

Derek Wilson

TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0

Tony Holdroyd

TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, ...

TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem

Ankit Jain, Armando Fandango, Amita Kapoor