Informatyka

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Machine Learning & Python for Absolute Beginners. A Hands-On Guide to Python Programming and Machine Learning from Scratch

Oliver Theobald

Machine Learning & Python for Absolute Beginners. A Hands-On Guide to Python Programming and Machine Learning from Scratch

Oliver Theobald

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

Giuseppe Bonaccorso

Machine Learning and AI for Absolute Beginners. The Ultimate Guide to AI and Machine Learning for Newcomers

Oliver Theobald

Machine Learning and AI for Absolute Beginners. The Ultimate Guide to AI and Machine Learning for Newcomers

Oliver Theobald

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

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

Andrew P. McMahon, Adi Polak

Machine Learning Engineering on AWS. Operationalize and optimize generative AI systems and LLMOps pipelines in production - Second Edition

Joshua Arvin Lat

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

Rodolfo Bonnin

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

Revathi Gopalakrishnan, Avinash Venkateswarlu

Machine Learning for OpenCV. Intelligent image processing with Python

Michael Beyeler

Machine Learning for Streaming Data with Python. Rapidly build practical online machine learning solutions using River and other top key frameworks

Joos Korstanje

Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Hyatt Saleh

Machine learning i natural language processing w programowaniu. Podręcznik z ćwiczeniami w Pythonie

Piotr Wróblewski

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

Karthikeyan NG

Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models

Rahul Kumar

Machine Learning Security Principles. Keep data, networks, users, and applications safe from prying eyes

John Paul Mueller, Rod Stephens

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

Jalaj Thanaki

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

Jillur Quddus

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

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

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