Ai Machine Learning Essentials For Absolute Beginners
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Ai Machine Learning Essentials For Absolute Beginners
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Author : Dr Israel Carlos Lomovasky
language : en
Publisher: Independently Published
Release Date : 2025-05-09
Ai Machine Learning Essentials For Absolute Beginners written by Dr Israel Carlos Lomovasky and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Unlock the Power of Artificial Intelligence - No Experience Needed! Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required. Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters. No prior experience required Real-life examples from 2025 and beyond Step-by-step machine learning project you can build today Covers ethics, careers, tools, policy, and the future of AI Includes both code and no-code solutions Whether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering. Start your AI journey today. The future belongs to those who understand it. Introduction: The AI Revolution - How Machines Learn Inspiring stories of AI in daily life The need for AI literacy in today's world Chapter 1: The AI Revolution - How Machines Learn AI applications you already use Why AI is transforming society Chapter 2: What is Artificial Intelligence? Definitions and history AI vs. ML vs. DL Types of AI systems Chapter 3: Fundamentals of Machine Learning Supervised, unsupervised, reinforcement learning Data, features, training/testing Chapter 4: Data and Algorithms How data powers AI What algorithms really are Real-world applications and common challenges Chapter 5: Tools of the Trade Python, Jupyter, Colab, scikit-learn, TensorFlow No-code platforms like Lobe, Teachable Machine Setting up your environment Chapter 6: Project - Build Your First Classifier A step-by-step beginner project Classify images using code or no-code tools Chapter 7: Deep Learning Made Simple Neural networks explained Use cases and model training basics Tools like Keras and PyTorch Chapter 8: AI in the Real World - Case Studies Healthcare, finance, transport, retail, agriculture Mini-stories from 2020-2025 Chapter 9: Ethical AI and Society Bias, fairness, transparency Regulation, privacy, accountability Chapter 10: AI for Everyone - Education and Policy AI in schools and careers National strategies and civic participation Chapter 11: The Road Ahead in AI Generative AI, quantum computing, edge AI Future trends, ethical horizons, and lifelong learning Appendices and Further Resources Glossary of AI terms No-code and coding tools Recommended books, courses, and datasets Public domain image sources About the Author Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
Machine Learning For Absolute Beginners
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Author : Jonathan K. Hari
language : en
Publisher: epubli
Release Date : 2025-06-23
Machine Learning For Absolute Beginners written by Jonathan K. Hari and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
Machine Learning for Absolute Beginners In a world where artificial intelligence is shaping the future, understanding machine learning is no longer optional—it's essential. This book takes you on a journey through the fundamentals of AI and data science, breaking down complex concepts into simple, beginner-friendly language. Whether you're a tech enthusiast, an aspiring data scientist, or just curious about the power of AI, this step-by-step guide will help you grasp the essentials without needing any prior coding experience. Inside This Book, You'll Discover: The difference between AI, machine learning, and deep learning Types of machine learning: Supervised, unsupervised, and reinforcement learning Key concepts like data, features, labels, and models Understanding algorithms, from linear regression to neural networks How to prepare and clean data for machine learning An introduction to Python and popular ML libraries like Scikit-Learn, TensorFlow, and PyTorch Real-world applications and ethical considerations in AI This book is designed for absolute beginners, ensuring you build a strong foundation in machine learning without the need for complex mathematics or programming skills. If you've ever wanted to explore AI but didn't know where to start—this is your gateway into the exciting world of machine learning! Scroll Up and Grab Your Copy Today!
Machine Learning
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Author : Alexa Philips
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-13
Machine Learning written by Alexa Philips and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with Artificial intelligence categories.
Machine Learning for Absolute Beginners Sale price. You will save 66% with this offer. Please hurry up! The Ultimate Beginners Guide for Algorithms, Neural Networks, Random Forests and Decision Trees If you are searching for a book on Machine Learning that is easy to understand and put in a relatively simple manner for easy flow and understanding for professionals and beginners. And you're the type that has a second thought about machine learning mathematics, then you need to read this book. It is well explanatory and contains essential information about Machine Learning without any complex mathematics but with great understanding. Here is a preview of what you'll learn: The introduction to Machine learning - An Informative write up on Artificial Intelligence Algorithms in Machine Learning A simple way to understand Decision trees Random Forest and how it works Neural Network Download your copy of "Machine Learning for Absolute Beginners" by scrolling up and clicking "Buy Now With 1-Click" button. Tags: Machine Learning, Machine Learning Algorithms, Algorithms, Neural Networks, Random Forests, Decision Trees Machine, Machine Learning Course, Big Data Machine Learning, Machine Learning For Dummies, Machine Learning Big Data, Machine Learning Tools, Machine Learning Basics, Machine Learning Online Course, Learn Machine Learning, Machine Learning As A Service, Cloud Machine Learning, Big Data And Machine Learning, Machine Learning And Big Data, Machine Learning Algorithms For Beginners, Machine Learning Platform, Data Science, Machine Learning Big Data Analytics, Machine Learning Companies, Ai Machine Learning, Machine Learning Cloud, Machine Learning Services
Machine Learning For Beginners
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Author : Scott Chesterton
language : en
Publisher:
Release Date : 2019-07-19
Machine Learning For Beginners written by Scott Chesterton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-19 with categories.
**Buy the paperback version of this book and get the kindle book version for FREE** People often gets confused by words like Machine Learning, Artificial Intelligence or Deep Learning. Raise Your hand if you are among them. I'm sure that you heard several times people talking about machine learning but you only have a vague idea of what it is, isn't it? Don't worry, you are not the only one. This book is here to help those readers who want to understand machine learning in a simple language. By reading Machine Learning for beginners you will probably not become a pro in this field but you will no longer be a novice and that's for sure! With Machine Learning for beginners you will discover: The basics of Machine Learning in detail with daily life examples; The different algorithm models and computing software platforms used in Machine Learning and their practical applications; How Machine Learning applications affect in the real-world and in different fields. Interesting notes on artificial intelligence and deep learning to better understand these new crucial technologies. If you have no technical background but you are willing to get familiar with machine learning basics, scroll up to the page and push the BUY now button.
Machine Learning For Beginners
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Author : Samuel Hack
language : en
Publisher:
Release Date : 2019-08-16
Machine Learning For Beginners written by Samuel Hack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-16 with categories.
★★ Buy the Paperback Version of this Book and get the Kindle Book Version for FREE ★★ Do you need a better knowledge of the possibilities existing in the artificial intelligence available today? Do you want to know how big data will shape the future? Do you want to achieve a professional understanding of the most commonly used machine learning models? Machine learning is a branch of artificial intelligence and computer science that's becoming increasingly relevant in our modern world. It's a relatively new and progressive way of allowing a computer model to improve over time as it is introduced to more data. With the widespread availability of computers today, most machine learning techniques can be done at home. From the GPS on our phones to the future of self-driving cars, machine learning is becoming more relevant to our lives every day. Every time our email inbox sorts spam email there is a machine learning model involved. When we use voice recognition on our phone neural networks are sorting and analyzing our words. This book will give you the key terms and basic understanding of the fastest-growing field in computer science as well as: A breakdown of machine learning techniques and algorithms; why, and how they are used The tools you will need. Where to find data, what languages work best for machine learning, and what technology is available to help you Practical examples of machine learning being used in the modern world The basic statistics and mathematics necessary to understand and interpret data A jumping off point to begin diving into this fascinating technology Even if you aren't an expert in mathematics or computer programming, you will learn the basics of machine learning from this book. if you are ready to know how machine learning models work, check out now this guidebook to help you get started. Scroll Up and Click the "Buy now" button!
Machine Learning For Beginners
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Author : Frederick Benson
language : en
Publisher:
Release Date : 2023-05-09
Machine Learning For Beginners written by Frederick Benson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with categories.
You interact with Artificial Intelligence every day, and you may not even realize it In this book, you will explore the history and development of Machine Learning and how it has revolutionized the world we live in today. Starting from the early days of simple algorithms that learned how to play checkers, to the complex models that can now drive cars and analyze massive amounts of data in real-time. Through easy-to-understand examples and real-world applications, you will gain a deeper understanding of the math and probability behind Machine Learning. You'll discover how the massive collection of data is essential to the development of learning algorithms, and how it is used to make decisions that affect our lives every day. Explore the relationship between Machine Learning, Artificial Intelligence, and Neural Networks, and how they work together to create intelligent machines capable of reacting to the world around them. You'll also learn about the challenges facing Machine Learning today and the ethical dilemmas that arise when AI is left unchecked. This book is for anyone who wants to understand the inner workings of Machine Learning, its real-world applications, and the potential of Artificial Intelligence in our lives. Whether you're a student, a researcher, or just someone who's interested in the future of technology, this book is a must-read.
Machine Learning Python For Absolute Beginners
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Author : Oliver Theobald
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-20
Machine Learning Python For Absolute Beginners written by Oliver Theobald and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
A clear and beginner-focused guide to Python and ML fundamentals. Covers coding basics, OOP, and core machine learning methods in a friendly, structured format. Key Features A two-part structure combining Python basics and machine learning for seamless skill-building Logical progression designed to reduce learning friction and build strong conceptual clarity Hands-on practice with Jupyter notebooks and real datasets to reinforce every key concept taught Book DescriptionStarting with Python syntax and data types, this guide builds toward implementing key machine learning models. Learn about loops, functions, OOP, and data cleaning, then transition into algorithms like regression, KNN, and neural networks. A final section walks you through model optimization and building projects in Python. The book is split into two major sections—foundational Python programming and introductory machine learning. Readers are guided through essential concepts such as data types, variables, control flow, object-oriented programming, and using libraries like pandas for data manipulation. In the machine learning section, topics like model selection, supervised vs unsupervised learning, bias-variance, and common algorithms are demystified with practical coding examples. It’s a structured, clear roadmap to mastering both programming and applied ML from zero knowledge.What you will learn Master Python syntax, variables, and basic data structures Build control flows using conditionals, loops, and functions Implement object-oriented concepts like classes and objects Analyze and clean datasets using pandas and Python tools Train supervised and unsupervised machine learning models Evaluate and optimize models for better prediction accuracy Who this book is for This book is perfect for beginners with little to no coding or data science background. It assumes no prior experience with Python or machine learning. Ideal for aspiring data analysts, tech learners, and students transitioning into AI and programming roles.
Machine Learning With Python
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Author : Mark Coding
language : en
Publisher:
Release Date : 2019-11-03
Machine Learning With Python written by Mark Coding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-03 with categories.
Are you tired of taking risks, hoping that it will pay off big but always being worried about the risks? Have you been hearing about some of the buzzwords in the world of business like data science, data analysis, and machine learning, but worry that this is going to be too hard for you to catch onto and learn more about? Are you looking for ways to know more about your industry, what products to release, and how to gain a competitive edge overall, without all of the risks? If this sounds like something you have dealt with, then machine learning for Python is the best option for you! This guidebook is going to dive into all of the parts of this that you need to know right now! Inside, we will explore what machine learning is all about, how to add it into Python, and so many of the algorithms and steps that you need to really make all of this a reality for your needs. Inside this guidebook, be prepared to take some of the basics of Python and machine learning, and turn yourself into an expert, someone who knows with certainty that all of your decisions are the right ones, and who has data and information to back them all up. Some of the different topics that we will discuss in this guidebook to help make this a reality, and to ensure that we are able to learn and make good predictions, includes: The basics of machine learning and artificial intelligence. How to work with Python and machine learning to get started with all the options that work with this topic. How to work with some of the different Python machine learning algorithms that are out there for you to choose from. How to work with a model of machine learning and go through the process of having your computer learn on its own. More examples of how to work with Python and machine learning together. The importance of working with neural networks and what all of this can mean to your code. A look at deep learning and data science that can take your machine learning to the next level. The steps you need to know to get started with data pre=processing. A look at where machine learning and more will be able to help lead us to the future. Working with machine learning for Python is an important topic that a lot of businesses are diving into now more than ever. They see the value of working with data science, and what this process can do for them in terms of their success and their sound business decisions. When you are ready to learn how to use machine learning for Python for some of your business and data science needs, make sure to take a look at this guidebook to get started. Scroll the top of the page and select the Buy Now button
Machine Learning For Beginners
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Author : Ethem Mining
language : en
Publisher:
Release Date : 2020-10-04
Machine Learning For Beginners written by Ethem Mining and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-04 with categories.
Are you fascinated about machine learning and AI and you don't know where to start? Have you ever heard people talking about Machine Learning but you only have a vague idea of the actual meaning? Do you want to understand how machine learning could simplify your daily life? Imagine a world where computing systems understand people and the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision. It sounds like science fiction but it is happening in healthcare, agriculture, cyber security, facial recognition, targeting and retargeting customers in online advertising, recommending specific products, stories, videos, text etc., self-driving cars, real time pricing, predicting human behavior and much more. Now imagine you being one of the people behind the code; the people who get these advanced systems to work the way they do. Would it be a dream come true for you? By virtue that you are reading this, it is clear that you have some special liking for this advanced tech and would want to learn how you can be one of the people behind the code. Even if not, you probably want to be able to understand the inner workings of these systems. The concept may sound extremely out there and advanced but it won't be if you follow this guide, which takes an easy to follow, beginner friendly language to help you to understand the ins and outs of machine learning! Here is a summary of what this book will teach you: The basics of machine learning, including what it is, how machine learning has evolved over the years, the application of machine learning in today's world and the future of machine learning How machine learning is beneficial in today's world The different approaches to machine learning, including unsupervised, supervised, reinforcement learning method, semi-supervised machine learning and many others The concept of big data analysis, including what is big data, why big data is important, the application of big data in today's world as well as the different data analysis tools that you can use The link between big data and machine learning The different machine learning algorithms, including what machine-learning algorithms are and how and when the different learning algorithms are used The concept of artificial neural networks, including how they work, when to use neural networks and more How decision trees are used in machine learning, including what decision trees are (in respect to machine learning), how they work, how the decision tree is read, the different nodes in decision trees and when to use them The ins and outs of linear and logistic regression in machine learning, including what linear regression is, different types of regression, how linear regression works, how linear regression is used and much more And much more! Even if this is your first encounter with the concept of machine learning, this book will uncover everything you need to know to master machine learning and possibly get started in this field of advanced computing knowing very well what you are venturing into. And the good thing is that the book takes a beginner friendly approach to help you to apply what you learn right away! Would You Like To Know More?Buy Now to get started!
Machine Learning For Absolute Beginners
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Author : Dr Richard brown
language : en
Publisher: Mike Richard
Release Date :
Machine Learning For Absolute Beginners written by Dr Richard brown and has been published by Mike Richard this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Machine Learning sounds complex. It doesn’t have to be. This book was written for people who feel curious about Artificial Intelligence but are overwhelmed by technical language, coding, and mathematics. Machine Learning for Absolute Beginners is a calm, clear, and human-friendly introduction to AI—designed for readers with zero technical background. No formulas. No programming. No confusion. Instead, this book explains Machine Learning the way it should have always been explained—through stories, real-world examples, and simple thinking. What You’ll Learn Inside What Artificial Intelligence really is (without hype or fear) How Machine Learning works using everyday examples Neural networks explained without science or math Why data matters more than algorithms How AI already influences your daily decisions The biggest myths and misunderstandings about AI Practical ways beginners can use AI today How people are earning with AI without coding A simple 30-day plan to start using AI confidently Who This Book Is For ✔ Absolute beginners ✔ Students and professionals ✔ Entrepreneurs and creators ✔ Non-technical readers ✔ Anyone curious about AI but afraid to start No prior knowledge required. Who This Book Is NOT For ✖ Advanced programmers ✖ Data scientists ✖ Readers looking for equations or code tutorials This book focuses on understanding, not implementation. Why This Book Is Different Most AI books overwhelm you with complexity. This one removes fear. Written in clear, conversational language, Machine Learning for Absolute Beginners feels like a mentor guiding you step by step—helping you understand what matters and ignore what doesn’t. Start With Clarity, Not Confusion You don’t need to be smart to understand Machine Learning. You just need the right explanation. 📘 Begin your journey today.