Publisher: K-i-s-publishing

Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Georgia Kalyva, George Kavvalakis

Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python

Jalaj Thanaki

Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation

Nikos Tsourakis

Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow

Alexia Audevart, Konrad Banachewicz, Luca Massaron

Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Joshua Arvin Lat

Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib

Jillur Quddus

Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Alessandro Marrandino

Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps

Joshua Newnham

Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

Daniel Whitenack

Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems

Andrich van Wyk

Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning

Oliver Theobald

Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili,...

Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense

Hannu Ranta

Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition

AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)

Machine Learning with R. Expert techniques for predictive modeling - Third Edition

Brett Lantz

Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition

Brett Lantz

Machine Learning with R. Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data - Fourth Edition

Brett Lantz

Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5

Iván Pastor Sanz

Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning

Brett Lantz

Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala

Md. Rezaul Karim

Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python

Kevin Jolly

Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition

Rajdeep Dua, Manpreet Singh Ghotra

Machine Learning with Swift. Artificial Intelligence for iOS

Alexander Sosnovshchenko, Oleksandr Baiev