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Home > Computer programming / software engineering > Programming and scripting languages: general > Getting Started with AI and Machine Learning in Python: A Beginner's Guide to Understanding AI Concepts and Building Your First Machine Learning Models Using Python
Getting Started with AI and Machine Learning in Python: A Beginner's Guide to Understanding AI Concepts and Building Your First Machine Learning Models Using Python

Getting Started with AI and Machine Learning in Python: A Beginner's Guide to Understanding AI Concepts and Building Your First Machine Learning Models Using Python


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About the Book

Begin your journey into the world of Artificial Intelligence (AI) and Machine Learning (ML) with Getting Started with AI and Machine Learning in Python. This beginner-friendly guide will teach you the core concepts of AI and ML and show you how to build your first machine learning models using Python. Whether you're new to programming or have some experience with Python, this book offers a practical and approachable way to dive into the fascinating world of AI. Python is the most popular language for AI and machine learning because of its simplicity and the powerful libraries available, such as Scikit-learn, TensorFlow, and Keras. This book will introduce you to the foundational principles of AI and guide you through building and evaluating your first machine learning models. You'll gain hands-on experience by working through projects that involve real-world datasets and learn how to use AI to solve practical problems. Inside, you'll learn: The fundamentals of AI and machine learning, including supervised and unsupervised learning How to set up your Python environment for AI and ML development The basics of data preprocessing, including cleaning and transforming data for use in machine learning models How to build simple machine learning models with Scikit-learn, including linear regression, decision trees, and k-nearest neighbors Techniques for model evaluation, including cross-validation, confusion matrices, and performance metrics like accuracy and precision How to visualize data and results with Python's popular libraries like Matplotlib and Seaborn A brief introduction to deep learning concepts and how to implement neural networks using Keras Best practices for training, testing, and tuning machine learning models to improve accuracy By the end of this book, you'll have a solid understanding of AI and machine learning concepts and practical experience building models in Python. Whether you're looking to pursue a career in data science, work on personal projects, or simply learn more about AI, Getting Started with AI and Machine Learning in Python is the perfect guide to get you started. Key Features: Learn the core concepts of AI and machine learning in an easy-to-understand format Step-by-step instructions for building your first machine learning models in Python Hands-on projects using real-world datasets to practice your skills Best practices for evaluating, tuning, and improving your machine learning models Introduction to deep learning and neural networks with Keras Start learning AI and machine learning today with Getting Started with AI and Machine Learning in Python and build the foundation for your AI-driven projects.


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Product Details
  • ISBN-13: 9798319038210
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 232
  • Returnable: N
  • Sub Title: A Beginner's Guide to Understanding AI Concepts and Building Your First Machine Learning Models Using Python
  • Width: 152 mm
  • ISBN-10: 8319038219
  • Publisher Date: 11 Apr 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 12 mm
  • Weight: 367 gr


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