Scott Mason is the Tar Heel Traveler and he loves to eat hot dogs, cheeseburgers, barbecue, biscuits, and ice cream served in crumbling cinder-block buildings and ramshackle dives along the back roads of North Carolina. As a full-time feature reporter for WRAL-TV in Raleigh since 2007, Scott has discovered that North Carolina is filled with many amusing characters and out-of-the-way places, all of which are part of his Tar Heel Traveler television segment that airs Monday through Thursday on WRAL's 5:30 pm newscast. The most popular stories are always about the hole-in-the-wall hot dog dives, cheeseburger joints, barbecue places, and ice cream parlors he has visited. He has featured dozens of such places on TV and now on paper he expands each story. Each chapter of Tar Heel Traveler Eats focuses on a particular restaurant as seen through the eyes the reporter who stumbles upon these classic dives. He peppers each chapter with dialogue and descriptive detail that includes the often
Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python (9781492072942)
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.
With this book, you'll learn:
Why exploratory data analysis is a key preliminary step in data science
How random sampling can reduce bias and yield a higher-quality dataset, even with big data
How the principles of experimental design yield definitive answers to questions
How to use regression to estimate outcomes and detect anomalies
Key classification techniques for predicting which categories a record belongs to
Statistical machine learning methods that "learn" from data
Unsupervised learning methods for extracting meaning from unlabeled data
Product details
- Paperback | 350 pages
- 178 x 233 x 22.86mm | 589.67g
- 01 Jul 2020
- O'Reilly Media, Inc, USA
- Sebastopol, United States
- English
- New edition
- 2nd New edition
- 149207294X
- 9781492072942
- 19,750
Download Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python (9781492072942).pdf, available at ebookdownloadfree.co for free.
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