Implementation of Machine Learning Algorithms Usin

AI and Machine Learning for Beginners

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning for Time Series with Python: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Synthetic Data for Machine Learning - by Abdulrahman Kerim (Paperback)

Mastering Machine Learning with scikit-learn: Apply effective learning algorithms to real-world problems using scikit-learn

R Machine Learning Projects (Paperback)

python learners guide to the fundamentals of python programming

Machine Learning with Python - (De Gruyter Textbook) by Sunil Karforma & Subhajit Adhikari & Indrajit de & Siddhartha Bhattacharyya & Jan Platos

Machine Learning: An Applied Mathematics Introduction

Statistical Machine Learning

Pre-Owned Python Machine Learning (Paperback) 1119545633 9781119545637

Autonomous Vehicles, Volume 1 Using Machine Intelligence

Python ML - Audiobook, by Alex Campbell

Plunkett s Artificial Intelligence (AI) & Machine Learning Industry Almanac 2025: Artificial Intelligence (AI) & Machine (Paperback)

The Essential Machine Learning Foundations: Math, Probability, Statistics, and Computer Science (Video Collection)

Machine Learning with PySpark

Machine Learning for Finance: Principles and practice for financial insiders

Data Science: A Comprehensive Guide to Data Science Data Analytics Data Mining Artificial Intelligence Machine Learn (Paperback)

data mining practical machine learning tools and techniques

Python Data Science Essentials: Learn the fundamentals of Data Science with Python

The Cambridge Handbook of Artificial Intelligence

Machine Learning: Ecml 2003 - by Nada Lavrač & & Dragan Gamberger & Ljupco Todorovski & Hendrik Blockeel (Paperback)

Machine Learning: Theory and Applications

Python Data Science Handbook

The Beginner's Guide to Data Science

Exploring the World of Data Science and Machine Learning

Becoming a Data Head How to Think, Speak, and Understand Data Science,

Machine Learning Infrastructure and Best Practices for Software Engineers - by Miroslaw Staron (Paperback)

Foundational Python for Data Science

Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases

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

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools [first edition]

Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch (Step-by-Step Tutorial for Beginners)

A Guide to Commercial Artificial Intelligence: Fundamentals and Real World Applications

The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)

Building Data Science Applications with FastAPI - Second Edition: Develop, manage, and deploy efficient machine learning applications with Python

40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python

Applied Vector Analysis (Books for Professionals)

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions