Uczenie maszynowe

Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects

Cory Lesmeister

Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition

Shervin Emami, David Millán Escrivá, Daniel Lelis...

Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Alberto Fernández Villán

Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

Ankur Ankan

Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Armando Fandango

Matematyka dyskretna dla praktyków. Algorytmy i uczenie maszynowe w Pythonie

Ryan T. White, Archana Tikayat Ray

Matematyka i sztuczna inteligencja. Kluczowe koncepcje zwiększania skuteczności i wydajności systemów

Hala Nelson

Mathematical Formulas and Scientific Data. Master the Foundations of Mathematics and Physics with This Comprehensive Guide

Mercury Learning and Information, C. P. Kothandaraman

Mathematics of Machine Learning. Master linear algebra, calculus, and probability for machine learning

Tivadar Danka, Santiago Valdarrama

MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks

Giuseppe Ciaburro

MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition

Giuseppe Ciaburro

Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks

Sumit Mund, Christina Storm

Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition

Devin Knight, Mitchell Pearson, Bradley Schacht, Erin...

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations

Ross Brigoli, Faisal Masood

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

Anubhav Singh, Rimjhim Bhadani

Model Context Protocol for LLMs. Build scalable multi-agent AI systems with LangChain, AutoGen, and the MCP open standard

Naveen Krishnan

Model Context Protocol. Master the integration of AI Agents and Model Context Protocol with real-world applications

Mehul Gupta, Niladri Sen

Moodle Grad

Rebecca Barrington

Multiphysics Modeling Using COMSOL 5 and MATLAB. Explore Advanced Techniques for Simulation and Analysis

Mercury Learning and Information, Roger W. Pryor

Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Bhargav Srinivasa-Desikan

Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair

Tadej Magajna

Natural Language Processing with Python. Master text processing, language modeling, and NLP applications with Python's powerful tools

Cuantum Technologies LLC

Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library

Thushan Ganegedara

Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition

Thushan Ganegedara, Andrei Lopatenko