Free Algorithms and Data Structures: Pattern Recognition Books

Advanced Machine Learning Applications in Big Data Analytics

Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R

Medical Data Analysis and Processing using Explainable Artificial Intelligence

Essentials of Pattern Recognition: An Accessible Approach

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

Data Science in Practice, 1st Edition

Practical Data Analytics for BFSI: Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance

Data Science Fusion: Integrating Maths, Python, and Machine Learning

Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning

Data Engineering and Data Science: Concepts and Applications

Data Science: An Introduction to Statistics and Machine Learning

Deep Learning for Healthcare Services IoT and Big Data Analytics

Python Data Analytics: With Pandas, NumPy, and Matplotlib, 3rd Edition

Machine Learning Engineering with Python

Building Statistical Models in Python

Explainable Machine Learning Models and Architectures

Evolutionary Deep Learning: Genetic algorithms and neural networks

Big Data Concepts, Technologies, and Applications

Video Based Machine Learning for Traffic Intersections

Geohazards: Analysis, Modelling and Forecasting

Modern Artificial Intelligence and Data Science: Tools, Techniques and Systems

Artificial Intelligence for Intrusion Detection Systems

Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook

Representation Learning for Natural Language Processing

Machine Intelligence: Computer Vision and Natural Language Processing

Machine Learning and Deep Learning in Natural Language Processing

Artificial Intelligence for Sustainable Applications

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python (Final)

Fundamentals of Reinforcement Learning

A Visual Introduction to Deep Learning

Encyclopedia of Data Science and Machine Learning

Concepts and Techniques of Graph Neural Networks

Computational Methods in Drug Discovery and Repurposing for Cancer Therapy

Applications of Artificial Intelligence and Neural Systems to Data Science

Innovative Engineering with AI Applications

The Regularization Cookbook: Explore practical recipes to improve the functionality of your ML models

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Data in Context: Models as Enablers for Managing and Using Data

Data Science for Civil Engineering: A Beginner's Guide

Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications

Building Data Science Applications with FastAPI - Second Edition

Data Science and Machine Learning with Python: Learn and Practice Series

E-commerce Big Data Mining and Analytics

MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

Sequential Decision Analytics and Modeling: Modeling with Python

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science)

Machine Learning with Python Cookbook, 2nd Edition (Final Release)

Data Analysis for the Life Sciences

Machine Learning for Healthcare Systems: Foundations and Applications

Deep Learning Foundations

Machine Learning: A Physicist Perspective

Practical Python Programming for Data Scientists

Secure Data Mining

Speech Recognition and Understanding

2D Computer Vision: Principles, Algorithms and Applications

Computational Evolution of Neural and Morphological Development : Towards Evolutionary Developmental Artificial Intelligence

Learn OpenCV with Python by Examples

Deep Learning Applications: In Computer Vision, Signals And Networks

An Introduction to Artificial Intelligence and Machine Learning I: By day-to-day examples

Scaling Python with Dask: From Data Science to Machine Learning (Final)

Practical Machine Learning in R (2021 Update)

The AI-Powered Developer (MEAP v1)

Probabilistic Machine Learning for Finance and Investing (Sixth Early Release)

NLP Application: Natural Language Questions and SQL using Computational Linguistics

Everyday Data Visualization (MEAP V05)

Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation

The Shape of dаta: Geometry-Based Machine Learning and Data Analysis in R

Managing Machine Learning Projects: From design to deployment (Final Release)

Enhancing Deep Learning with Bayesian Inference: Create More Powerful, Robust Deep learning Systems with Bayesian Deep learning

Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights

Graph Neural Networks in Action - MEAP V06

Visual Analytics Fundamentals: Creating Compelling Data Narratives with Tableau

Telling Stories with Data With Applications in R

AI-Powered Search (MEAP V17)

Causal AI (MEAP 04)

Design for Developers (MEAP V10)

Distributed Machine Learning Patterns (MEAP V07)

Scientific Visualization: Python + Matplotlib

Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems (TruePDF)

Think Like a Data Analyst (MEAP v2)

Python Data Science

Neural Networks and Deep Learning: A Textbook, 2nd Edition

AMAZON STOCK PRICE: VISUALIZATION, FORECASTING, AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI

Anatomy of Deep Learning Principles: Writing a Deep Learning Library from Scratch

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Introduction to Prescriptive AI: A Primer for Decision Intelligence Solutioning with Python

Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms for effective Machine Learning solutions

Semantic AI in Knowledge Graphs

Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour

Deep Learning and Other Soft Computing Techniques: Biomedical and Related Applications

Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs

Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Building Knowledge Graphs: A Practitioner's Guide (Final)

Football Analytics with Python & R (Fourth Release)

Machine Learning Algorithms in Depth (MEAP V09)

The Decision Intelligence Handbook

AI-Driven Intelligent Models for Business Excellence

Noise–Robust Sampling for Collaborative Metric Learning