Book picks similar to
Data Scientist: The Definitive Guide to Becoming a Data Scientist by Zacharias Voulgaris
data-science
academia
non-fiction
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Go Put Your Strengths to Work: 6 Powerful Steps to Achieve Outstanding Performance
Marcus Buckingham - 2007
He offers a six-step plan for six weeks of reading and habit-forming action for discerning strengths, along with optional tools to enhance the process such as online questions for measuring strengths and downloaded films (two of which are free). The steps of his plan are belief that the best way to compete is capitalizing on your strengths, identifying your strengths and weaknesses, volunteering your strengths at work, lessening the impact of your weaknesses on your team, effectively communicating the value of your strengths while limiting work utilizing weaknesses, and building habits and pushing activities that play to strength. Although everyone will not agree with all the elements of Buckingham's approach, he offers valuable insight into maximizing employees' strengths rather than the more common focus on weaknesses and failure. Mary WhaleyCopyright © American Library Association. All rights reserved --This text refers to an out of print or unavailable edition of this title.
The ARRL Extra Class License Manual for Ham Radio
H. Ward Silver - 2002
Whenyou upgrade to Extra Class, you gain access to the entire Amateur Radio frequency spectrum. Ues this book to ace the top-level ham radio licensing exam. Our expert instruction will lead you through all of the knowledge you need to pass the exam: rules, specific operating skills and more advanced electronics theory.
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
Sharon Bertsch McGrayne - 2011
To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.
Decisive: How to Make Better Choices in Life and Work
Chip Heath - 2013
The four principles that can help us to overcome our brains' natural biases to make better, more informed decisions -- in our lives, careers, families and organizations.In Decisive, Chip Heath and Dan Heath, the bestselling authors of Made to Stick and Switch, tackle the thorny problem of how to overcome our natural biases and irrational thinking to make better decisions, about our work, lives, companies and careers. When it comes to decision making, our brains are flawed instruments. But given that we are biologically hard-wired to act foolishly and behave irrationally at times, how can we do better? A number of recent bestsellers have identified how irrational our decision making can be. But being aware of a bias doesn't correct it, just as knowing that you are nearsighted doesn't help you to see better. In Decisive, the Heath brothers, drawing on extensive studies, stories and research, offer specific, practical tools that can help us to think more clearly about our options, and get out of our heads, to improve our decision making, at work and at home.
Visualizing Data: Exploring and Explaining Data with the Processing Environment
Ben Fry - 2007
Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.
Machine Learning with R
Brett Lantz - 2014
This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
When Breath Becomes Air: by Paul Kalanithi and Abraham Verghese | Summary & Highlights with BONUS Critics Corner
Summary Reads - 2016
Paul Kalanithi. As he nears the end of his 7-year residency he gets the report no one wants, cancer. Now his forty-year plan is scrapped. The hopes and dreams he and Lucy, his wife, have held to are dramatically altered. In this book you will find the story of a man that seeks out truth and meaning in a very detailed way. From his undergraduate literary pursuits to his combined goal of neuroscience and surgery Dr. Kalanithi desires to connect meaning to every aspect of human life. As cancer becomes his story the reader will see the emotional decisions made about starting a family and continuing his beloved career. Dr. Kalanithi begins to see how his care for his patients would be altered as he experiences the treatments himself. Through every emotion Paul and Lucy share the love for each other and life. Inside this SUMMARY READS Summary & Highlights of When Breath Becomes Air: Summary of Each Chapter Highlights (Best Quotes) BONUS: Critics Corner BONUS: Free Report about The Tidiest and Messiest Places on Earth - http: //sixfigureteen.com/messy.
Thinking, Fast and Slow
Daniel Kahneman - 2011
System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. Kahneman exposes the extraordinary capabilities—and also the faults and biases—of fast thinking, and reveals the pervasive influence of intuitive impressions on our thoughts and behavior. The impact of loss aversion and overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the challenges of properly framing risks at work and at home, the profound effect of cognitive biases on everything from playing the stock market to planning the next vacation—each of these can be understood only by knowing how the two systems work together to shape our judgments and decisions.Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Thinking, Fast and Slow will transform the way you think about thinking.
Women in Tech: Practical Advice and Inspiring Stories from Successful Women in Tech to Take Your Career to the Next Level
Tarah Wheeler - 2016
Craig Pritchett leads you through an unforgettable learning experience that builds on the extraordinary life and games of the first World Chess Champion Wilhelm Steinitz.
Dreaming in Code: Two Dozen Programmers, Three Years, 4,732 Bugs, and One Quest for Transcendent Software
Scott Rosenberg - 2007
Along the way, we encounter black holes, turtles, snakes, dragons, axe-sharpening, and yak-shaving—and take a guided tour through the theories and methods, both brilliant and misguided, that litter the history of software development, from the famous ‘mythical man-month’ to Extreme Programming. Not just for technophiles but for anyone captivated by the drama of invention, Dreaming in Code offers a window into both the information age and the workings of the human mind.
SQL Pocket Guide
Jonathan Gennick - 2003
It's used to create and maintain database objects, place data into those objects, query the data, modify the data, and, finally, delete data that is no longer needed. Databases lie at the heart of many, if not most business applications. Chances are very good that if you're involved with software development, you're using SQL to some degree. And if you're using SQL, you should own a good reference or two.Now available in an updated second edition, our very popular "SQL Pocket Guide" is a major help to programmers, database administrators, and everyone who uses SQL in their day-to-day work. The "SQL Pocket Guide" is a concise reference to frequently used SQL statements and commonly used SQL functions. Not just an endless collection of syntax diagrams, this portable guide addresses the language's complexity head on and leads by example. The information in this edition has been updated to reflect the latest versions of the most commonly used SQL variants including: Oracle Database 10g, Release 2 (includingthe free Oracle Database 10g Express Edition (XE))Microsoft SQL Server 2005MySQL 5IBM DB2 8.2PostreSQL 8.1 database
Principles of Foundation Engineering
Braja M. Das - 1984
Das' Sixth Edition of PRINCIPLES OF FOUNDATION ENGINEERING maintains the careful balance of current research and practical field applications that has made it the leading text in foundation engineering courses. Featuring a wealth of worked-out examples and figures that help students with theory and problem-solving skills, the book introduces civil engineering students to the fundamental concepts and application of foundation analysis design. Throughout, Das emphasizes the judgment needed to properly apply the theories and analysis to the evaluation of soils and foundation design as well as the need for field experience. The sixth edition contains many new homework and worked-out problems.
Discovering Statistics Using R
Andy Field - 2012
Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Implementing Domain-Driven Design
Vaughn Vernon - 2013
Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations.Building on Eric Evans’ seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples–all applicable to C# developers–and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment.The author takes you far beyond “DDD-lite” approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD’s “strategic design patterns” using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals.
Technology-as-a-Service Playbook: How to Grow a Profitable Subscription Business
Thomas Lah - 2016
Whether you are a pureplay cloud company or a traditional technology provider making the pivot to the cloud, this book will help guide your decision-making and execution around the “as-a-service” model to put your company on a path to profitable growth