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 Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques

Kumar Abhishek, Dr. Mounir Abdelaziz

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning

Revathi Gopalakrishnan, Avinash Venkateswarlu

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

Machine Learning for the Web. Gaining insight and intelligence from the internet with Python

Andrea Isoni

Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Ben Auffarth

Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud

Saleh Alkhalifa

Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition

AshishSingh Bhatia, Bostjan Kaluza

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions

Mohamed Abouahmed, Omar Ahmed

Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights

Oliver Theobald

Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production

Md Johirul Islam

Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Faisal Masood, Ross Brigoli

Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML

Karthikeyan NG

Machine learning, Python i data science. Wprowadzenie

Andreas Müller, Sarah Guido