{"product_id":"machine-learning-for-absolute-beginners-a-plain-english-introduction-paperback","title":"Machine Learning For Absolute Beginners: A Plain English Introduction - Paperback","description":"\u003cp\u003eby \u003cb\u003eOliver Theobald\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNOTICE: To buy the newest edition of this book (2021), please search \"Machine Learning Absolute Beginners Third Edition\" on Amazon. The product page you are currently viewing is for the 2nd Edition (2017) of the book. \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFeatured by Tableau as the first of \"7 Books About Machine Learning for Beginners\" \u003cp\u003e\u003c\/p\u003eReady to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? \u003cp\u003e\u003c\/p\u003eWell, hold on there... \u003cp\u003e\u003c\/p\u003eBefore you embark on your epic journey, there are some theory and statistical principles to weave through first.\u003cbr\u003eBut rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to machine learning. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eMachine Learning for Absolute Beginners Second Edition\u003c\/i\u003e has been written and designed for \u003cb\u003e\u003ci\u003eabsolute beginners\u003c\/i\u003e\u003c\/b\u003e. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, \u003cb\u003eclear explanations\u003c\/b\u003e and \u003cb\u003evisual examples\u003c\/b\u003e are added to make it easy and engaging to follow along at home. \u003cp\u003e\u003c\/p\u003eThis major \u003cb\u003enew edition\u003c\/b\u003e features many topics not covered in the First Edition, including Cross Validation, Data Scrubbing and Ensemble Modeling. \u003cb\u003ePlease note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition.\u003c\/b\u003e Readers of the First Edition should not feel compelled to purchase this Second Edition. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eDisclaimer: \u003c\/b\u003e 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 \u003cb\u003eLion King moment\u003c\/b\u003e-as a fully grown Simba looking over the Pride Lands of Africa-then this is the book to gently hoist you up and offer you a clear lay of the land.\u003cp\u003e \u003c\/p\u003e\u003cb\u003eIn this step-by-step guide you will learn: \u003c\/b\u003e- How to \u003cb\u003edownload free datasets\u003c\/b\u003e\u003cbr\u003e- What \u003cb\u003etools\u003c\/b\u003e and \u003cb\u003emachine learning libraries\u003c\/b\u003e you need\u003cbr\u003e- \u003cb\u003eData scrubbing\u003c\/b\u003e techniques, including \u003cb\u003eone-hot encoding\u003c\/b\u003e, \u003cb\u003ebinning\u003c\/b\u003e and dealing with \u003cb\u003emissing data\u003c\/b\u003e\u003cbr\u003e- Preparing data for analysis, including \u003cb\u003e\u003ci\u003ek\u003c\/i\u003e-fold Validation\u003c\/b\u003e\u003cbr\u003e- \u003cb\u003eRegression analysis\u003c\/b\u003e to create trend lines\u003cbr\u003e- \u003cb\u003eClustering\u003c\/b\u003e, including \u003cb\u003e\u003ci\u003ek\u003c\/i\u003e-Means Clustering\u003c\/b\u003e to find new relationships\u003cbr\u003e- The basics of \u003cb\u003eNeural Networks\u003c\/b\u003e\u003cbr\u003e- \u003cb\u003eBias\/Variance\u003c\/b\u003e to improve your machine learning model\u003cbr\u003e- \u003cb\u003eDecision Trees\u003c\/b\u003e to decode classification\u003cbr\u003e- How to build your first \u003cb\u003eMachine Learning Model\u003c\/b\u003e to predict house values using Python\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\u003cb\u003eFrequently Asked Questions\u003c\/b\u003e\u003cb\u003eQ: Do I need programming experience to complete this book?\u003c\/b\u003e\u003cbr\u003eA: This 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 programming language used in this book. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eQ: I have already purchased the First Edition of this book, should I purchase this Second Edition?\u003c\/b\u003e\u003cbr\u003eA: As the majority of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eQ: Can I get access to the Kindle version of this book?\u003c\/b\u003e\u003cbr\u003eA: Yes. Under Amazon's Matchbook program, the purchaser of this book can add the Kindle version of this title (valued at $3.99 USD) to their Amazon Kindle library at no cost. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eQ: Does this book include everything I need to become a machine learning expert?\u003c\/b\u003e\u003cbr\u003eA: 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.\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 168\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.39 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 01, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47427389194418,"sku":"9781549617218","price":23.33,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/120e52efd0943e7b13eea998e241b125.webp?v=1778523261","url":"https:\/\/box.dadyminds.org\/products\/machine-learning-for-absolute-beginners-a-plain-english-introduction-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}