Data Science Without Makeup
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| Author | : Mikhail Zhilkin |
| Publisher | : CRC Press |
| Total Pages | : 144 |
| Release | : 2021-11-01 |
| Genre | : Computers |
| ISBN | : 1000464857 |
Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players’ physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and business intelligence. Why data science is hard, what pitfalls analysts and decision-makers fall into, and what everyone involved can do to give themselves a fighting chance—the book examines these and other questions with the skepticism of someone who has seen the sausage being made. Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data—from students to professional researchers and from early-career to seasoned professionals. Mikhail Zhilkin is a data scientist at Arsenal FC. He has previously worked on the popular Candy Crush mobile games and in sports betting.
| Author | : Cathy O'Neil |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 320 |
| Release | : 2013-10-09 |
| Genre | : Computers |
| ISBN | : 144936389X |
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 | : Giuseppe Nicosia |
| Publisher | : Springer Nature |
| Total Pages | : 639 |
| Release | : 2023-03-08 |
| Genre | : Computers |
| ISBN | : 3031255992 |
This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
| Author | : Sebastian Gutierrez |
| Publisher | : Apress |
| Total Pages | : 348 |
| Release | : 2014-12-12 |
| Genre | : Computers |
| ISBN | : 143026599X |
Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.
| Author | : Nick Lane |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2016 |
| Genre | : Cells |
| ISBN | : 9781781250372 |
A game-changing book on the origins of life, called the most important scientific discovery 'since the Copernican revolution' in The Observer.
| Author | : Frank Kane |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 415 |
| Release | : 2017-07-31 |
| Genre | : Computers |
| ISBN | : 1787280225 |
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.
| Author | : Stacy Malkan |
| Publisher | : New Society Publishers |
| Total Pages | : 193 |
| Release | : 2007-10-01 |
| Genre | : Health & Fitness |
| ISBN | : 0865715742 |
Lead in lipstick? 1,4 dioxane in baby soap? Coal tar in shampoo? How is this possible? Simple. The $35 billion cosmetics industry is so powerful that they've kept themselves unregulated for decades. Not one cosmetic product has to be approved by the US Food and Drug Administration before hitting the market. Incredible? Consider this: The European Union has banned more than 1,100 chemicals from cosmetics. The United States has banned just 10. Only 11% of chemicals used in cosmetics in the US have been assessed for health and safety - leaving a staggering 89% with unknown or undisclosed effects. More than 70% of all personal care products may contain phthalates, which are linked to birth defects and infertility. Many baby soaps are contaminated with the cancer-causing chemical 1,4 dioxane. It's not just women who are affected by this chemists' brew. Shampoo, deodorant, face lotion and other products used daily by men, women and children contain hazardous chemicals that the industry claims are "within acceptable limits." But there's nothing acceptable about daily multiple exposures to carcinogenic chemicals -- from products that are supposed to make us feel healthy and beautiful. Not Just a Pretty Face delves deeply into the dark side of the beauty industry, and looks to hopeful solutions for a healthier future. This scathing investigation peels away less-than-lovely layers to expose an industry in dire need of an extreme makeover. 15 percent of the purchase price of each book sold benefits the national Campaign for Safe Cosmetics, administered by the Breast Cancer Fund, through December 31, 2012.
| Author | : Trish McEvoy |
| Publisher | : HarperCollins |
| Total Pages | : 228 |
| Release | : 2017-02-28 |
| Genre | : Health & Fitness |
| ISBN | : 0062495445 |
Internationally recognized makeup artist and trailblazing entrepreneur Trish McEvoy reveals her revolutionary, proven system that teaches women everywhere at any age to achieve total beauty security and confidence in this inspirational full-color playbook that is part empowering manifesto, part comprehensive how-to guide. Thousands of women, both celebrities and private clients alike, have turned to Trish McEvoy’s proprietary system for applying makeup, and looking—and feeling—transformed. Now, millions of women will have the opportunity to access her secret method in one complete, gorgeous book that goes beyond the basic step-by-step makeup lessons. Trish understands the power of beauty security. A woman with a positive self-image, can-do attitude, and sense of grace and calm will get what she wants out of life, and then some. But it’s not so easy to cultivate these qualities. Trish has a simple, 4-part solution. And it surprisingly starts with leveraging just a few minutes a day in a unique way. Even the most time-starved woman can do this, with lasting results. Compiling all of her best wisdom, Trish begins with a passionate and persuasive argument that makes clear the importance of self-care, then offers specific strategies to transform yourself from the outside in. Infused with Trish’s trademark charisma, this motivational, must-have resource is filled with highly practical takeaways and tutorials that will equip you with the tools to face life at your most beautiful and self-assured. The Makeup of a Confident Woman includes over 200 full-color illustrations.
| Author | : EMC Education Services |
| Publisher | : John Wiley & Sons |
| Total Pages | : 432 |
| Release | : 2014-12-19 |
| Genre | : Computers |
| ISBN | : 1118876229 |
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
| Author | : Nicholas Wade |
| Publisher | : Penguin |
| Total Pages | : 249 |
| Release | : 2014-05-06 |
| Genre | : Science |
| ISBN | : 0698163796 |
Drawing on startling new evidence from the mapping of the genome, an explosive new account of the genetic basis of race and its role in the human story Fewer ideas have been more toxic or harmful than the idea of the biological reality of race, and with it the idea that humans of different races are biologically different from one another. For this understandable reason, the idea has been banished from polite academic conversation. Arguing that race is more than just a social construct can get a scholar run out of town, or at least off campus, on a rail. Human evolution, the consensus view insists, ended in prehistory. Inconveniently, as Nicholas Wade argues in A Troublesome Inheritance, the consensus view cannot be right. And in fact, we know that populations have changed in the past few thousand years—to be lactose tolerant, for example, and to survive at high altitudes. Race is not a bright-line distinction; by definition it means that the more human populations are kept apart, the more they evolve their own distinct traits under the selective pressure known as Darwinian evolution. For many thousands of years, most human populations stayed where they were and grew distinct, not just in outward appearance but in deeper senses as well. Wade, the longtime journalist covering genetic advances for The New York Times, draws widely on the work of scientists who have made crucial breakthroughs in establishing the reality of recent human evolution. The most provocative claims in this book involve the genetic basis of human social habits. What we might call middle-class social traits—thrift, docility, nonviolence—have been slowly but surely inculcated genetically within agrarian societies, Wade argues. These “values” obviously had a strong cultural component, but Wade points to evidence that agrarian societies evolved away from hunter-gatherer societies in some crucial respects. Also controversial are his findings regarding the genetic basis of traits we associate with intelligence, such as literacy and numeracy, in certain ethnic populations, including the Chinese and Ashkenazi Jews. Wade believes deeply in the fundamental equality of all human peoples. He also believes that science is best served by pursuing the truth without fear, and if his mission to arrive at a coherent summa of what the new genetic science does and does not tell us about race and human history leads straight into a minefield, then so be it. This will not be the last word on the subject, but it will begin a powerful and overdue conversation.
