Machine Learning for Absolute Beginners

2018
Machine Learning for Absolute Beginners

PDF Machine Learning for Absolute Beginners Download

  • Author: Oliver Theobald
  • Publisher: Independently Published
  • ISBN: 9781549617218
  • Category : Computer algorithms
  • Languages : en
  • Pages : 160

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.

Machine Learning for Absolute Beginners

2021
Machine Learning for Absolute Beginners

PDF Machine Learning for Absolute Beginners Download

  • Author: Oliver Theobald
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 180

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.This new edition also features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition. Readers of the Second Edition should not feel compelled to purchase this Third Edition.Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.In this step-by-step guide you will learn: - How to download free datasets- What tools and machine learning libraries you need- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data- Preparing data for analysis, including k-fold Validation- Regression analysis to create trend lines- k-Means Clustering to find new relationships- The basics of Neural Networks- Bias/Variance to improve your machine learning model- Decision Trees to decode classification, and- How to build your first Machine Learning Model to predict house values using PythonFrequently Asked QuestionsQ: Do I need programming experience to complete this e-book?A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book. Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author. Q: Does this book include everything I need to become a machine learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

Machine Learning for Beginners

2019
Machine Learning for Beginners

PDF Machine Learning for Beginners Download

  • Author: Chris Sebastian
  • Publisher: Python, Machine Learning
  • ISBN: 9781793016423
  • Category : Computers
  • Languages : en
  • Pages : 164

♦♦Bonus: Buy the Paperback version of this book, and get the kindle eBook version included for FREE** Machine Learning is changing the world. You use Machine Learning every day and probably don't know it. In this book, you will learn how ML grew from a desire to make computers able to learn. Trace the development of Machine Learning from the early days of a computer learning how to play checkers, to machines able to beat world masters in chess and go. Understand how large data is so important to Machine Learning, and how the collection of massive amounts of data provides Machine Learning programmers with the information they need to developing learning algorithms.Simple examples will help you understand the complex math and probability statistics underlining Machine Learning. You will also see real-world examples of Machine Learning in action and uncover how these algorithms are making your life better every day.Learn about how artificial intelligence, Machine Learning, Neural Networks, and Swarm Intelligence interact and complement each other as part of the quest to generate machines capable of thinking and reacting to the world. Read about the technical issues with Machine Learning and how they are being overcome. Discover the dark side of ML and what possible outcomes there could be should things go wrong. And finally, learn about the positive future artificial intelligence and Machine Learning promise to bring to the world. In this book, you will discover *The history of Machine Learning *Approaches taken to ML in the past and present *Artificial intelligence and its relationship to ML *How neural networks, big data, regression, and the cloud all play a part in the development of Machine Learning *Compare Machine Learning to the Internet of Things, Robotics, and Swarm Intelligence *Learn about the different models of ML and how each is used to produce learning algorithms *Get access to free software and data sets so you can try out your very own Machine Learning software *Examine some of the technical problems and philosophical dilemmas with ML *See what advanced Machine Learning will make to our world in the future So what are you waiting for???Scroll back up and order this book NOW.

Machine Learning for Absolute Beginners

2018-11-13
Machine Learning for Absolute Beginners

PDF Machine Learning for Absolute Beginners Download

  • Author: Ryan Hill
  • Publisher: Independently Published
  • ISBN: 9781731249746
  • Category :
  • Languages : en
  • Pages : 186

MACHINE LEARNING FOR ABSOLUTE BEGINNERS ★★★ Buy the Paperback version of this book, and then get the Kindle Ebook version included for FREE ★★★ Do you want to know about Machine Learning even as a beginner? You have come to the right placeMachine learning is one of the hottest topics in this century - for good reasons. A neural network is often mentioned but covers only a small part of machine learning. There is much more to explore. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This machine learning course is here to show you why.Instead of telling you all the statistics and math behind the Algorithms, I prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT. What you will learn Introduction to Machine LearningWhat is Machine Learning... And why should we care?The 6 Steps of Machine LearningWhat neural networks have to do with machine learningWhat neural networks have to do with deep learning?What machine learning algorithms can doThe different machine learning applications and their disadvantages and advantagesWhat machine learning have in store for us?How Machine Learning is Fighting Cancer Who is the target audience? Beginners in machine learningPeople who like a hands-on approach and not only watchingPeople who prefer practice instead of theoryAll people who want to dive into one of the hottest topics out there but do not know where to startYou want to take advantage of the data driven opportunity ahead Don't wait any longer! Scroll up and click the BUY NOW button to begin the journey of learning machine learning even as an absolute ML beginner!

Machine learning for absolute beginners

2017-04-03
Machine learning for absolute beginners

PDF Machine learning for absolute beginners Download

  • Author: Oliver Theobald
  • Publisher: Independently Published
  • ISBN: 9781520951409
  • Category : Computer algorithms
  • Languages : en
  • Pages : 168

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.

Machine Learning

2017-11-13
Machine Learning

PDF Machine Learning Download

  • Author: Alexa Philips
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781979620192
  • Category : Artificial intelligence
  • Languages : en
  • Pages : 98

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

2017-10-18
Machine Learning

PDF Machine Learning Download

  • Author: Gabriel Rhys
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781978373884
  • Category :
  • Languages : en
  • Pages : 178

Can Machines Really Learn?Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning has become an essential pillar of IT in all aspects, even though it has been hidden in the recent past. We are increasingly being surrounded by several machine learning-based apps across a broad spectrum of industries. From search engines to anti-spam filters to credit card fraud detection systems, list of machine learning applications is ever-expanding in scope and applications. The goal of this book is to provide you with a hands-on, project-based overview of machine learning systems and how they are applied over a vast spectrum of applications that underpins AI technology from Absolute Beginners to Experts.This book is a fast-paced, thorough introduction to Machine Learning that will have you writing programs, solving problems, and making things that work in no time.This book presents algorithms and approaches in such a way that grounds them in larger systems as you learn about a variety of topics, including: Supervised and Unsupervised learning methods Artificial Neural Networks Hands-on projects based on Real-world applications Bayesian learning method Reinforcement learning And much more By the end of this book, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning. Learning Outcomes: By the end of this book, you will be able to: Identify potential applications of machine learning in practice Describe the core differences in analyses enabled by regression, classification, and clustering Select the appropriate machine learning task for a potential application Apply regression, classification, and clustering Represent your data as features to serve as input to machine learning models Utilize a dataset to fit a model to analyze new data Build an end-to-end application that uses machine learning at its core Implement these techniques in Python If you've been thinking seriously about digging into ML, this book will get you up to speed. Why wait any longer?

Machine Learning For Absolute Beginners

2023-02-28
Machine Learning For Absolute Beginners

PDF Machine Learning For Absolute Beginners Download

  • Author: Hilda Beaman
  • Publisher:
  • ISBN: 9781806308385
  • Category :
  • Languages : en
  • Pages : 0

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

Machine Learning For Absolute Beginners

2023-06-19
Machine Learning For Absolute Beginners

PDF Machine Learning For Absolute Beginners Download

  • Author: Dr. M. Dhinakaran ,Prof. P. Deepthi, Dr. S. Shyni Carmel Mary ,Mr. Arpit Namdev
  • Publisher: Booksclinic Publishing
  • ISBN: 9355359934
  • Category : Education
  • Languages : en
  • Pages : 207

,

Machine Learning for Absolute Beginners

2021
Machine Learning for Absolute Beginners

PDF Machine Learning for Absolute Beginners Download

  • Author: Oliver Theobald
  • Publisher:
  • ISBN: 9781913666521
  • Category :
  • Languages : en
  • Pages : 0

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home. New Updated Edition This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition. Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land. In This Step-By-Step Guide You Will Learn: - How to download free datasets - What tools and machine learning libraries you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - k-Means Clustering to find new relationships - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification, and - How to build your first Machine Learning Model to predict house values using Python Frequently Asked Questions Q: Do I need programming experience to complete this e-book? A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book. Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition? A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author. Q: Does this book include everything I need to become a machine learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.