Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale

Giuseppe Ciaburro

Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain

Febin John James

SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models

Harish Gulati

Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition

Patrick R. Nicolas

Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala

Md. Rezaul Karim

Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Jason Myerscough, Arunee Singhchawla

Scaling Big Data with Hadoop and Solr. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

Hrishikesh Vijay Karambelkar

Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases

Aaron Ploetz, Devram Kandhare, Sudarshan Kadambi, Xun (Brian) Wu

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Simulation for Data Science with R. Effective Data-driven Decision Making

Matthias Templ

Spark. Zaawansowana analiza danych

Uri Laserson, Sandy Ryza, Sean Owen, Josh Wills

Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics

Eric Pimpler

Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence

James H. Baxter

Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition

Josh Diakun, Paul R. Johnson, Derek Mock

SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics

Julie Koesmarno, Toma?ae Ka?°trun

Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition

Prabhanjan Narayanachar Tattar

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