Ai For Absolute Beginners A Clear Guide To Tomorrow
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AI for Absolute Beginners: A Clear Guide to Tomorrow
Author: Oliver Theobald
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-03-15
Embark on a journey through AI with our beginner-friendly course, empowering you to understand and ethically apply AI, shaping the future of technology and innovation. Key Features Simplify AI concepts for easy understanding Highlight ethical AI use and privacy Foresee the influence of AI on future work Book Description The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world. The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries. The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI. What you will learn Decode the history and evolution of AI Navigate through AI's development stages Grasp natural language processing fundamentals Dive into generative AI and its applications Understand recommender systems and computer vision Recognize AI's impact on privacy and ethics Who this book is for This course is ideal for enthusiasts and professionals eager to understand AI from the ground up. No prior knowledge is required, making this course perfect for those looking to get acquainted with AI concepts and their applications across various industries.
AI for Absolute Beginners
Curious about AI but feeling lost at the same time? Well, look no further! AI for Absolute Beginners is your guide to demystifying complex AI concepts and providing you with a solid foundation to step into and stay ahead in the new AI era.In this accessible and comprehensive book, we start from scratch, assuming no prior knowledge. Each chapter is carefully crafted to guide you through the fundamental concepts and practical applications of AI, including machine learning, generative AI, and deep learning. With clear and plain English explanations, you'll be surprised at how quickly you can start thinking and speaking fluently in the words and mindset of an AI expert! Key knowledge points you will gain from reading this book: - The 3 phases of AI development and what's coming next... - The Missing Middle theory of leveraging what humans and AI do best - Generative AI and a preview of the Data Wars - Machine learning and a clear introduction on how it works - Deep learning and why it unlocks progress in all fields of AI - Natural language processing explained - Computer vision and why it's not as easy as you think... - Recommender systems and how to train them to your advantage - Privacy & ethical considerations you must know - The future of work and how to thrive in the new era of knowledge work - The new role of the Chief Intelligence Officer and how they are guiding AI transformation in organizations Now is a special time in the history of work and efficiency. Follow your curiosity and step confidently into the new era of AI!
Machine Learning: Make Your Own Recommender System
Author: Oliver Theobald
language: en
Publisher: Machine Learning for Beginners
Release Date: 2018-10-06
Learn How to Make Your Own Recommender System in an Afternoon.Recommender systems are one of the most visible applications of machine learning and data mining today and their uncanny ability to convert our unspoken actions into items we desire is both addicting and concerning. And whether recommender systems excite or scare you, the best way to manage their influence and impact is to understand the architecture and algorithms that play on your personal data. Recommender systems are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: Setting Up A Sandbox Environment With Jupyter NotebookWorking With DataData ReductionBuilding a Collaborative Filtering ModelBuilding a Content-Based Filtering ModelEvaluationPrivacy & EthicsFuture of Recommender SystemsPlease feel welcome to join this introductory course by buying a copy or sending a free sample to your preferred device.