{"product_id":"statistics-crash-course-for-beginners-theory-and-applications-of-frequentist-and-bayesian-statistics-using-python-9781734790160","title":"Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python","description":"\u003cp\u003e • Author(s): Ai Publishing\u003cbr\u003e • Publisher: AI Publishing LLC\u003cbr\u003e • Publisher Imprint: AI Publishing LLC\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eFrequentist and Bayesian Statistics Crash Course for Beginners\u003c\/p\u003e\u003cp\u003eData 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. \u003ci\u003eFrequentist and Bayesian Statistics Crash Course for Beginners\u003c\/i\u003e 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 \u003cb\u003eprobability\u003c\/b\u003e 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.\u003c\/p\u003eHow Is This Book Different?\u003cp\u003eAI Publishing is completely sold on the \u003ci\u003elearning by doing\u003c\/i\u003e methodology. We have gone to great lengths to ensure you find learning statistics easy. The result: you will not get stuck along your learning journey. This is not a book full of complex mathematical concepts and difficult equations. You will find that the coverage of the theoretical aspects of statistics is proportionate to the practical aspects of the subject. The book makes the reading process easier by presenting you with three types of box-tags in different colors. They are: \u003cb\u003eRequirements\u003c\/b\u003e, \u003cb\u003eFurther Readings, \u003c\/b\u003eand \u003cb\u003eHands-on Time\u003c\/b\u003e. The final chapter presents two mini-projects to give you a better understanding of the concepts you studied in the previous eight chapters. The main feature is you get instant access to a treasure trove of all the related learning material when you buy this book. They include PDFs, Python codes, exercises, and references-on the publisher's website. You get access to all this learning material at no extra cost. You can also download the Machine Learning datasets used in this book at runtime. Alternatively, you can access them through the \u003ci\u003eResources\/Datasets\u003c\/i\u003e folder. The quick course on Python programming in the first chapter will be immensely helpful, especially if you are new to Python. Since you can access all the Python codes and datasets, a computer with the internet is sufficient to get started. \u003c\/p\u003e\u003cp\u003eThe topics covered include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA Quick Introduction to Python for Statistics\u003c\/li\u003e\n\u003cli\u003eStarting with Probability\u003c\/li\u003e\n\u003cli\u003eRandom Variables and Probability Distributions\u003c\/li\u003e\n\u003cli\u003eDescriptive Statistics: Measure of Central Tendency and Spread\u003c\/li\u003e\n\u003cli\u003eExploratory Analysis: Data Visualization\u003c\/li\u003e\n\u003cli\u003eStatistical Inference\u003c\/li\u003e\n\u003cli\u003eFrequentist Inference\u003c\/li\u003e\n\u003cli\u003eBayesian Inference\u003c\/li\u003e\n\u003cli\u003eHands-on Projects\u003c\/li\u003e\n\u003c\/ul\u003eClick the BUY NOW button and start your Statistics Learning journey.","brand":"AI Publishing LLC","offers":[{"title":"Paperback","offer_id":45533485498519,"sku":"9781734790160","price":2231.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781734790160.webp?v=1767898711","url":"https:\/\/atlanticbooks.com\/products\/statistics-crash-course-for-beginners-theory-and-applications-of-frequentist-and-bayesian-statistics-using-python-9781734790160","provider":"Atlantic Books","version":"1.0","type":"link"}