Statistics Every Programmer Needs (MEAP v2) by Gary Sutton (.ePUB)+

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File Size: 38.6 MB

Statistics Every Programmer Needs (MEAP v2) by Gary Sutton
Requirements: .ePUB, .PDF reader, 38.6 MB
Overview: Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond “gut feeling” for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python data ecosystem. Statistics Every Programmer Needs teaches the nuts and bolts of applying statistics to the everyday problems you’ll face as a software developer. Each self-contained chapter provides a complete and comprehensive tutorial on a specific quantitative technique. Well-annotated and reusable Python code listings illustrate each method, with examples you can follow to practice your new skills. You’ll predict ultramarathon split times using linear regression, identify raisin types from morphological features, forecast stock prices using time series models, analyze system reliability using Markov chains, and much more. You’ll not only learn how to use each method, but why it works, and how to explain your results. Whatever your field, you’ll soon be ready to model uncertainty, optimize resources, forecast outcomes, and assess risk with mathematical precision. For analysts, managers, or anyone looking to incorporate data into their decision making. Examples in Python.
Genre: Non-Fiction > Tech & Devices

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