{"product_id":"machine-learning-with-python-for-everyone-paperback","title":"Machine Learning with Python for Everyone - Paperback","description":"\u003cp\u003eby \u003cb\u003eMark Fenner\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003ci\u003e\u003cb\u003eMachine Learning with Python for Everyone\u003c\/b\u003e\u003c\/i\u003e will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. \u003cp\u003e\u003c\/p\u003eMark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. \u003cbr\u003e \u003cul\u003e \u003cli\u003eUnderstand machine learning algorithms, models, and core machine learning concepts\u003c\/li\u003e \u003cli\u003eClassify examples with classifiers, and quantify examples with regressors\u003c\/li\u003e \u003cli\u003eRealistically assess performance of machine learning systems\u003c\/li\u003e \u003cli\u003eUse feature engineering to smooth rough data into useful forms\u003c\/li\u003e \u003cli\u003eChain multiple components into one system and tune its performance\u003c\/li\u003e \u003cli\u003eApply machine learning techniques to images and text\u003c\/li\u003e \u003cli\u003eConnect the core concepts to neural networks and graphical models\u003c\/li\u003e \u003cli\u003eLeverage the Python scikit-learn library and other powerful tools\u003c\/li\u003e \u003c\/ul\u003e \u003ci\u003eRegister your book for convenient access to downloads, updates, and\/or corrections as they become available. See inside book for details.\u003c\/i\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStudents are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. \u003cb\u003eMachine Learning with Python for Everyone \u003c\/b\u003ebrings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eReflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical \"code-alongs,\" and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003e All students need to succeed in data science with Python: process, code, and implementation \u003c\/li\u003e \u003cli\u003eStudents will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems \u003c\/li\u003e \u003cli\u003eIntegrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAll you need to succeed in data science with Python: process, code, and implementation\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems \u003c\/li\u003e \u003cli\u003eIntegrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets \u003c\/li\u003e \u003cli\u003eFor wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDr. Mark Fenner, \u003c\/b\u003e owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implementation, and performance of machine learning and numerical algorithms; developing learning systems to detect user anomalies; and probabilistic modeling of protein function.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 592\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.3 x 9 x 6.9 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 16, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51753672999200,"sku":"9780134845623","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/747949b05fdf2c46d9d9bfcbd20da1d1.webp?v=1780025294","url":"https:\/\/ebocreations.com\/products\/machine-learning-with-python-for-everyone-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}