Numsense Data Science For The Layman

Author : Annalyn Ng
Publisher : Annalyn Ng & Kenneth Soo
ISBN 13 : 9789811110689
Total Pages : pages
Book Rating : 4.89/5 ( download)

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Download or read book Numsense! Data Science for the Layman written by Annalyn Ng and published by Annalyn Ng & Kenneth Soo. This book was released on 2017-03-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Author : Cathy O'Neil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144936389X
Total Pages : 408 pages
Book Rating : 4.95/5 ( download)

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Download or read book Doing Data Science written by Cathy O'Neil and published by "O'Reilly Media, Inc.". This book was released on 2013-10-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.92/5 ( download)

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Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Author : Daniel R. Faust
Publisher : The Rosen Publishing Group, Inc
ISBN 13 : 1538331276
Total Pages : 34 pages
Book Rating : 4.79/5 ( download)

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Download or read book Algorithms: The Building Blocks of Computer Programming written by Daniel R. Faust and published by The Rosen Publishing Group, Inc. This book was released on 2018-07-15 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms might sound like a complicated tech term, but don't be intimidated, people actually use them every day. Using accessible language and full-color photographs, this book simplifies algorithms in an easy-to-understand way. Readers will be amazed to learn that an algorithm is just a set of steps for computers to follow to get things done. STEM topics from the Next Generation Science Standards are emphasized throughout the text. Sidebars featuring key terms help readers grow their tech vocabulary, and fact boxes provide additional opportunities to learn.

Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.69/5 ( download)

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Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Author : Hans-Peter Blume
Publisher : Springer
ISBN 13 : 3642309429
Total Pages : 618 pages
Book Rating : 4.27/5 ( download)

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Download or read book Scheffer/Schachtschabel Soil Science written by Hans-Peter Blume and published by Springer. This book was released on 2015-11-24 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The soils are fundamental to our existence, delivering water and nutrients to plants, that feed us. But they are in many ways in danger and their conservation is therefore a most important focus for science, governments and society as a whole. A team of world recognised researchers have prepared this first English edition based on the 16th European edition. • The precursors and the processes of soil development • The physical, biological and chemical properties of soils • Nutrients and Pollutants • The various soil classifications with the main focus on the World Reference Base for Soil Resources (WRB) • The most important soils and soil landscapes of the world • Soil Evaluation Techniques • Basic Principles of Soil Conservation Whoever works with soils needs this book.

Author : Erin Colbert-White, PhD
Publisher : Springer Publishing Company
ISBN 13 : 0826162355
Total Pages : 288 pages
Book Rating : 4.59/5 ( download)

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Download or read book Animal Cognition 101 written by Erin Colbert-White, PhD and published by Springer Publishing Company. This book was released on 2019-07-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise overview provides a scientific yet highly accessible introduction to the science of animal cognition. Written for undergraduate college courses as well as any interested reader, it encompasses the history of animal cognition studies, essential theories and methodology, and the latest findings and controversies in animal consciousness and communication. The book challenges myths and preconceived notions about animal cognition by explaining the scientific theories, the perils of anthropomorphism, and the value of knowing a species’ natural history before making assumptions or drawing conclusions. Each chapter includes an Animal Spotlight and a Human Application section. The Animal Spotlight highlights individual animals—the “rock stars” of animal cognition—that have made significant contributions to the field. Reminding us that we too are animals, the Human Application sections connect topics in animal cognition to human behavior and cognition. Additionally, the book provides ideas for readers to conduct their own investigations into animal cognition. Key Features Provides a scientific yet accessible introduction to animal cognition studies Examines the development of the field, its theories and methods, and the latest findings and controversies Addresses animal consciousness, communication, social cognition, and cognitive flexibility Highlights individual animals that have made significant contributions to the field Connects topics in animal cognition to human behavior and cognition Provides ideas for readers to conduct their own investigations into animal cognition

Author : Samuel Burns
Publisher :
ISBN 13 : 9781693798924
Total Pages : 134 pages
Book Rating : 4.21/5 ( download)

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Download or read book Fundamentals of Data Science written by Samuel Burns and published by . This book was released on 2019-09-17 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is for students or anyone, with limited or no prior programming, statistics, and data analytics knowledge. This short guide is ideal for absolute beginners, or anyone who wants to acquire a basic working knowledge of data science. It is an excellent guide if you want to learn about the principals of data science from scratch, in just a few hours. The author discussed everything that you need to know about data science. First, you are guided to learn the meaning of data science. The history of data science has been discussed to help you know how people came to realize that data is a rich source of knowledge and intelligence. The theories underlying data science have been discussed. Examples include decision and estimation theories. The author discussed the various machine learning algorithms used in data science and the various steps one has to undergo when performing data science tasks, from data collection to data presentation and visualization. The author helps you to know the various ways through which you can apply data science in your business for increased profits. A simple language has been used to ensure ease of understanding, especially for beginners." --

Author : Timandra Harkness
Publisher : Bloomsbury Publishing
ISBN 13 : 1472920066
Total Pages : 321 pages
Book Rating : 4.65/5 ( download)

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Download or read book Big Data written by Timandra Harkness and published by Bloomsbury Publishing. This book was released on 2016-06-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Big Data, and why should you care? Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can. Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book. Starting with the basics – what IS data? And what makes it big? – Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data.

Author : Maria Langer
Publisher : Peachpit Press
ISBN 13 : 9780321168931
Total Pages : 372 pages
Book Rating : 4.33/5 ( download)

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Download or read book Mac OS X 10.2 Advanced written by Maria Langer and published by Peachpit Press. This book was released on 2003 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: With more than 150 new features and applications, Mac OS X 10.2 is more than a minor upgrade. This guide is the fastest way to ramp up on the software's myriad new features. Veteran Macintosh columnist and author Langer goes beyond the basics to show users how to get the most out of Mac OS X 10.2.