Big data

Learning Splunk Web Framework. Create, extend and publish real time Splunk applications

Vincent Sesto

Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition

Joshua N. Milligan

Learning Tableau 2025. Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights - Sixth Edition

Joshua N. Milligan

Learning Three.js: The JavaScript 3D Library for WebGL - Second Edition. Create stunning 3D graphics in your browser using the Three.js JavaScript library

Jos Dirksen

Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN

Akhil Arora, Shrey Mehrotra, Shreyank Gupta

Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML

Prashant Kumar Mishra, Mukesh Kumar

Linear Regression With Python. A Tutorial Introduction to the Mathematics of Regression Analysis

James V Stone

LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential

Aymen El Amri

Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning

Giuseppe Bonaccorso

Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition

Giuseppe Bonaccorso

Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems

Gregory Keys, David Whiting

Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python

Dario Radečić

Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition

Andrew P. McMahon, Adi Polak

Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow

Natu Lauchande

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

Andrew McMahon

Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition

Stefan Jansen

Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

Emmanuel Tsukerman

Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling

Jesus Salcedo

Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning

Rodolfo Bonnin

Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning

Allan Ramsay, Tariq Ahmad

Machine Learning for Finance. Principles and practice for financial insiders

Jannes Klaas

Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market

Eduonix Learning Solutions

Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition

Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler

Machine Learning for OpenCV. Intelligent image processing with Python

Michael Beyeler