Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
The funniest book ever written about why your religion is false!Whether you're a Christian or a Jew, a Muslim or a Hindu, a Rasta or a Jain, an Environmentalist or a Cheondoist, a Scientologist or a Giant Stone Head Worshipper, your religion is false.But don't feel bad -- so is everyone else's! When you want to know what not to believe, this is the only book you need.In addition, you'll learn* Why "god" doesn't exist* Why there's no such thing as a "soul"* How to find "meaning" in a religion-less world* Which of your religious heroes are pedophiles* Why "religious tolerance" is a terrible ideaAnd, as a bonus, the greatest religious joke ever told. You can't afford not to read this book!
Clustering is the usual starting point for unsupervised machine learning. This lesson introduces the k-means and hierarchical clustering algorithms, implemented in Python code. Why is it important? Whenever you look at a data source, it's likely that the data will somehow form clusters. Datasets with higher dimensions become increasingly more difficult to "eyeball" based on human perception and intuition. These clustering algorithms allow you to discover similarities within data at scale, without first having to label a large training dataset. What you'll learn—and how you can apply it Understand how the k-means and hierarchical clustering algorithms work. Create classes in Python to implement these algorithms, and learn how to apply them in example applications. Identify clusters of similar inputs, and find a representative value for each cluster. Prepare to use your own implementations or reuse algorithms implemented in scikit-learn. This lesson is for you because... People interested in data science need to learn how to implement k-means and bottom-up hierarchical clustering algorithms Prerequisites Some experience writing code in Python Experience working with data in vector or matrix format Materials or downloads needed in advance Download this code , where you'll find this lesson's code in Chapter 19, plus you'll need the linear_algebra functions from Chapter 4. This lesson is taken from Data Science from Scratch by Joel Grus.
Whether you're a complete beginner or a grizzled veteran, Thinking Spreadsheet will make you an Excel expert. Its clear instruction and carefully-chosen examples will help you * Understand how spreadsheets work, what they do well, and what they don't do well. * Use the spreadsheet's structure to intelligently organize your data. * Solve problems using techniques that take advantage of the spreadsheet's strengths. * Build spreadsheets that are easy to understand and difficult to break. Along the way you'll learn core spreadsheet principles, basic tools like SUM() and IF(), advanced functions like MATCH() and VLOOKUP(), and power-user features like array formulas and pivot tables. You'll also learn a little bit of mathematics, a little bit of probability, a little bit of statistics, and a whole lot about how to intelligently solve problems. You might even laugh a few times!
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
The funniest book ever written about why your religion is false!Whether you're a Christian or a Jew, a Muslim or a Hindu, a Rasta or a Jain, an Environmentalist or a Cheondoist, a Scientologist or a Giant Stone Head Worshipper, your religion is false.But don't feel bad -- so is everyone else's! When you want to know what not to believe, this is the only book you need.In addition, you'll learn* Why "god" doesn't exist* Why there's no such thing as a "soul"* How to find "meaning" in a religion-less world* Which of your religious heroes are pedophiles* Why "religious tolerance" is a terrible ideaAnd, as a bonus, the greatest religious joke ever told. You can't afford not to read this book!
Nebraska sits at the nexus of continental bird migration and serves as a home?either permanently or seasonally?for nearly 450 species. Major migratory routes pass through the state, creating numerous opportunities to observe the great variety of North American bird species. The annual crane migrations in spring are legendary, and other key events include winter concentrations of bald eagles, flocks of up to thirty thousand grebes, mergansers, and gulls at Lake McConaughy in late fall, and incredible concentrations of waterfowl in the Rainwater Basin in early spring.øBirds of Nebraska captures the variety of Nebraska's ornithological possibilities in a style useful to hobbyists and professionals alike. For the first time in Nebraska ornithology, the authors have provided an exhaustive summary of state bird records compiled into concise but readable accounts of all species of birds reported in the state. This work covers taxonomy, early and late migration dates, high counts, nesting areas, and likely viewing locations.
This illustrated version of performer Billy Joel's popular song showcases the sights and landmarks of New York City, as seen through the eyes of a plucky little dog.
Sartore and National Geographic present 80 iconic images, representing a lifelong commitment to the natural world and a three-year investigation into the Endangered Species Act along with the creatures it exists to protect.
This foundational text was one of the first books to integrate work from moral philosophy, developmental/moral psychology, applied psychology, political and social economy, and political science, as well as business scholarship. Twenty years on, this third edition utilizes ideas from the first two to provide readers with a practical model for ethical decision making and includes examples from I-O research and practice, as well as current business events. The book incorporates diverse perspectives into a "framework for taking moral action" based on learning points from each chapter. Examples and references have been updated throughout, and sections on moral psychology, economic justice, the "replicability crisis," and open science have been expanded and the "radical behavioral challenge" to ethical decision-making is critiqued. In fifteen clearly structured and theory-based chapters, the author also presents a variety of ethical incidents reported by practicing I-O psychologists. This is the ideal resource for Ethics and I-O courses at the graduate and doctoral level. Academics in Organizational Behavior and Human Resource Management will also benefit from this book, as well as anyone interested in Ethics in Psychology and Business.
This book of photography represents National Geographic's Photo Ark, a major cross-platform initiative and lifelong project by photographer Joel Sartore to make portraits of the world's animals -- especially those that are endangered. His message: to know these animals is to save them. Sartore intends to photograph every animal in captivity in the world. He is circling the globe, visiting zoos and wildlife rescue centers to create studio portraits of 12,000 species, with an emphasis on those facing extinction. He has photographed more than 6,000 already and now, thanks to a multi-year partnership with National Geographic, he may reach his goal. This book showcases his animal portraits: from tiny to mammoth, from the Florida grasshopper sparrow to the greater one-horned rhinoceros. Paired with the prose of veteran wildlife writer Douglas Chadwick, this book presents an argument for saving all the species of our planet.
(Keyboard Recorded Versions). This beauty features 16 megahits from the Piano Man himself! Includes: Allentown * And So It Goes * Honesty * Just the Way You Are * Movin' Out * My Life * New York State of Mind * Piano Man * Pressure * She's Got a Way * Tell Her About It * and more.
In A Natural History of the Chicago Region, Greenberg takes you on a journey that begins with European explorers and settlers and hasn't ended yet. Along the way he introduces you to the physical forces that have shaped the area from southeastern Wisconsin to northern Indiana and Berrien County in Michigan; the various habitat types present in the region and how European settlement has affected them; and the insects, reptiles, amphibians, birds, fish, and mammals found in presettlement times, then amid the settlers and now amid the skyscrappers. In all, Greenberg chronicles the development of nineteen counties in Illinois, Michigan, and Wisconsin across centuries of ecological, technological, and social transformations."--BOOK JACKET.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.