{ "item_title" : "Fundamentals of Data Science Part I", "item_author" : [" Jared M. Maruskin "], "item_description" : "In Part I of this series, we cover basic statistical inference and experimentation, focusing on: basic statistics;derivation and review of key distributions and their relations;hypothesis testing, including an in depth power analysis for the chi-squared statistic;experimentation, including A/B tests, stratification, one- and two-factor experiments, and an introduction to bandit algorithms; maximum likelihood;gradient descent;introduction to survival analysis and stochastic processes, including empirical estimation of online survival and event processes.The theory is illustrated with simulations in Python throughout the text.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/94/104/311/1941043119_b.jpg", "price_data" : { "retail_price" : "29.95", "online_price" : "29.95", "our_price" : "29.95", "club_price" : "29.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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