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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python

Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python

Paperback

Series: Machine Learning & Data Science for Beginners

Probability & Statistics

ISBN10: 1734790164
ISBN13: 9781734790160
Publisher: Apex Persuasion
Published: Nov 11 2020
Pages: 332
Weight: 0.98
Height: 0.69 Width: 6.00 Depth: 9.00
Language: English

Frequentist and Bayesian Statistics Crash Course for Beginners

Data and statistics are the core subjects of Machine Learning (ML). The reality is the average programmer may be tempted to view statistics with disinterest. But if you want to exploit the incredible power of Machine Learning, you need a thorough understanding of statistics. The reason is a Machine Learning professional develops intelligent and fast algorithms that learn from data. Frequentist and Bayesian Statistics Crash Course for Beginners presents you with an easy way of learning statistics fast. Contrary to popular belief, statistics is no longer the exclusive domain of math Ph.D.s. It's true that statistics deals with numbers and percentages. Hence, the subject can be very dry and boring. This book, however, transforms statistics into a fun subject. Frequentist and Bayesian statistics are two statistical techniques that interpret the concept of probability in different ways. Bayesian statistics was first introduced by Thomas Bayes in the 1770s. Bayesian statistics has been instrumental in the design of high-end algorithms that make accurate predictions. So even after 250 years, the interest in Bayesian statistics has not faded. In fact, it has accelerated tremendously. Frequentist Statistics is just as important as Bayesian Statistics. In the statistical universe, Frequentist Statistics is the most popular inferential technique. In fact, it's the first school of thought you come across when you enter the statistics world.

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Probability & Statistics