Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: ● Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value ● Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL ● And more It's a big, big data world out there-let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
The dramatic, larger-than-life true story behind the founding of Oculus and its quest for virtual reality, by the bestselling author of Console Wars.From iconic books like Neuromancer to blockbuster films like The Matrix, virtual reality has long b...
"[Oliver Wyman] narrates in a reflective tone that fits well with Lanier's mix of recollections, philosophy, and explanations of technology...Lanier takes the listener through VR breakthroughs like Nintendo's Power Glove and delves into the psycholo...
Most of the information available on cloud computing is either highly technical, with details that are irrelevant to non-technologists, or pure marketing hype, in which the cloud is simply a selling point. This book, however, explains the cloud from...
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the histo...
The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and ev...
In 1980, computers were instruments of science and mathematics, military secrets and academia. Stern administrators lorded over sterile university laboratories and stressed one point to the wide-eyed students privileged enough to set foot within the...
The idea that human history is approaching a "singularity" -- that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both -- has moved from the realm of science fiction...
In this remarkably prescient book, Gilder predicts how television will merge with other technologies and evolve into the telecomputer, a personal computer adapted for video processing and connected by fiberoptic threads to other personal computers a...
We turn on the lights in our house from a desk in an office miles away. Our refrigerator alerts us to buy milk on the way home. A package of cookies on the supermarket shelf suggests that we buy it, based on past purchases. The cookies themselves ar...
