E-Books Library

Explore our curated collection of e-books focused on AI, data science, machine learning, and cloud computing. All downloads are available in PDF or EPUB format.

Data Analysis with Python and PySpark

Learn how to perform scalable data analysis using Python with PySpark on big data platforms.

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Data Analytics

A foundational guide on extracting insights from data using modern tools and techniques.

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Deep Learning With PyTorch (2nd Copy)

Advanced deep learning concepts implemented in PyTorch with practical case studies.

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Deep Learning with PyTorch

Hands-on guide to understanding deep neural networks using PyTorch.

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Don't Make Me Think

A usability-focused design book that emphasizes clarity and simplicity in web design.

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Elements of Statistical Learning

Advanced treatment of statistical learning, covering prediction, classification, and modeling.

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Exam Microsoft Azure Architect Technologies

Complete preparation guide for Azure Solutions Architect certification.

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Fundamentals of Deep Learning

Start your deep learning journey with theory and practical examples using real-world data.

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Getting Started with Deep Learning for NLP

Step-by-step guide to building NLP applications using deep learning techniques.

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500 Social Media Marketing Tips

Essential advice and strategy guide for business marketing using Facebook, Twitter, Instagram, and Pinterest.

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600 ChatGPT Prompts

A comprehensive collection of creative and practical ChatGPT prompts for all use cases.

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A Hands-On Introduction to Data Science

Beginner-friendly walkthrough on working with real-world datasets and data science workflows.

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AI Fairness

Introduction to fairness in AI and responsible machine learning practices.

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AI Guide

Comprehensive guide on artificial intelligence principles and applications.

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Applied Natural Language Processing in the Enterprise

Teach machines to read, write, and understand with real-world NLP applications.

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AWS Certified Cloud Practitioner Study Guide

Study guide with 500 practice questions for foundational AWS certification.

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AWS Certified Data Analytics Specialty Study Guide

Comprehensive guide with labs and practice questions for the AWS Data Analytics exam.

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AWS Cookbook

Ready-to-use recipes and best practices for AWS cloud infrastructure and automation.

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AZ-900 Microsoft Azure Fundamentals

400+ exam practice questions with detailed explanations for the Microsoft AZ-900 certification.

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Bayesian Statistics the Fun Way

Learn statistics and probability using relatable examples like Star Wars and rubber ducks.

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Be the Outlier

Practical guide to standing out in data science interviews with technical prep strategies.

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Beginning MLOps with MLflow

Deploy and manage ML models using MLflow in AWS, GCP, and Azure environments.

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ChatGPT Beginners Guide to Make Money Online

Step-by-step guide to monetizing AI skills using ChatGPT for digital income streams.

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ChatGPT Chrome Extension Playbook

Learn how to build and leverage ChatGPT-powered Chrome extensions for automation.

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ChatGPT for Dummies

The most complete guide for writers, programmers, and businesses looking to harness ChatGPT.

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ChatGPT GoldRush

Capitalize on the AI revolution with prompt engineering mastery for ChatGPT.

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ChatGPT: The Full Guide to Making Money

A complete roadmap to generating income using ChatGPT and automation techniques.

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Computer Vision and Recognition Systems

Explore modern techniques and models for computer vision applications.

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Data Analysis with Microsoft Power BI

Master Power BI for business intelligence, dashboards, and interactive reporting.

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Grokking Machine Learning

A beginner-friendly and visual introduction to core machine learning concepts and techniques.

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Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow

Comprehensive guide covering TensorFlow, Scikit-Learn, and Keras with real-world ML projects.

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HandsOn Machine Learning

TensorFlow-powered edition for mastering modern ML workflows using Scikit-Learn and Keras.

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Hands-On Question Answering Systems with BERT

Build QA systems using BERT and apply neural networks to real-world NLP challenges.

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How Software Works

Understand the tech behind encryption, search engines, CGI, and everyday computing systems.

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HTML & CSS Design

A practical introduction to designing and building modern websites using HTML and CSS.

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Intro to Python for CS & DS

Learn Python for data science, AI, and cloud computing with real-world projects and case studies.

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Introduction to Deep Learning

Learn the foundations of deep neural networks, optimization, and activation functions.

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Learning Data Science

Master data wrangling, exploration, modeling, and visualization using Python.

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Learning Git (2nd Copy)

A hands-on visual introduction to version control basics and Git workflows.

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Learning Git (Visual Guide)

A complete and practical visual reference for learning Git for beginners.

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Learning Microsoft Power BI

Master data analysis and reporting using Power BI for business intelligence.

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Machine Learning and Data Science Fundamentals and Applications

A deep dive into core ML concepts with practical data science applications.

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Machine Learning Fundamentals

A concise introduction to the theory and math behind machine learning algorithms.

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Mastering ChatGPT

Comprehensive guide to harnessing the power of conversational AI using ChatGPT.

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Mastering TensorFlow

Implement powerful neural networks across diverse datasets with TensorFlow.

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Mining the Social Web

Extract insights from social media platforms like Twitter, LinkedIn, and GitHub.

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NLP & Machine Translation

Explore language models and DARPA-driven machine translation systems.

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NLP with Python and spaCy

Learn NLP using Python and spaCy in this hands-on practical guide.

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NLP with Transformers

Build production-grade language applications with Hugging Face Transformers.

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Pandas for Everyone (2nd Edition)

Comprehensive introduction to Python’s pandas library for data analysis.

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Practical Computer Vision

Extract insightful information from images using TensorFlow, Keras, and OpenCV.

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Practical Machine Learning for Computer Vision

End-to-end guide for building machine learning systems for image processing tasks.

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Practical Natural Language Processing

Build real-world NLP systems using machine learning and deep learning techniques.

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Predictive Analytics

Revised edition on using analytics to predict who will click, buy, or act.

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Python Crash Course

A hands-on, project-based introduction to programming using Python.

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Python Data Analysis

Perform data collection, wrangling, visualization, and modeling using Python.

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Python for Data Science

Get started with Python programming for data science, ML, and analytics.

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Python Machine Learning (Illustrated)

A deep learning and ML guide built from scratch with Python, scikit-learn, Keras, and Theano.

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Reliable Machine Learning

Learn how to apply Site Reliability Engineering (SRE) principles to machine learning systems in production.

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Serious Python

Black-belt advice on testing, deployment, packaging, and performance optimization in Python projects.

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Speech and Language Processing

Comprehensive introduction to NLP, computational linguistics, and speech recognition technologies.

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Statistical Learning with Sparsity

The definitive resource on the Lasso and sparse modeling in high-dimensional statistics.

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The Age of AI

A thoughtful exploration of artificial intelligence and its impact on the future of humanity.

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The Complete Guide to Generative AI

A practical and strategic overview of generative AI tools and their business applications.

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TheAI Book

The investor’s handbook to artificial intelligence covering strategy, opportunity, and innovation.

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Understanding Deep Learning

Dive into the inner workings and foundations of deep learning systems and architectures.

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Web Development with Node and Express

Hands-on guide to building modern web applications with Node.js and the Express framework.

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