Tag: probability

Statistics and Probability

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A list of courses from the Khan Academy covering the following topics: Introduction to statistics Analyzing categorical data Displaying and comparing quantitative data Summarizing quantitative data Modeling data distributions Exploring bivariate numerical data Study design Probability Counting, permutations, and combinations Random variables Sampling distributions One-sample confidence intervals One-sample z and t significance tests Two-sample inference for the difference between groups Inference for categorical data (chi-square tests) Advanced regression (inference and … Continue Reading

MIT Statistics Cheat Sheet

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A long list of definitions, equations, and examples for common statistical terms and tests, including: Variance Standard Deviation & Error T-tests Chi-Square Tests Probability Distributions

mathematicalmonk

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From Youtube: “Videos about math, at the graduate level or upper-level undergraduate”, these videos cover topics in mathematics and statistics that are less than 15 minutes long, with narration over written text and equations. Topics include: Machine Learning Probability Primer Information Theory

Tales of Science and Data

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This is an ebook written as a series of Jupyter notebooks, “intended as a collection of personally elaborated materials on Data Science. Topics span a quite large spectrum in the Data Science field: nothing will ever be fully comprehensive, but the purpose is keeping this continuously updated. Learning never ends!” Content includes: Probability & Statistics Machine Learning: Supervised Learning Unsupervised Learning Artificial Neural Networks Model Assessment Natural Language Processing Computer … Continue Reading

Data Science from Scratch: First Principles with Python

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From Amazon: “Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get … Continue Reading

Introduction to Probability and Data

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This is course 1 of 5 in the Statistics with R Specialization. From Coursera: “This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes’ rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will … Continue Reading

DataQuest – Probability Statistics and Linear Algebra

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This course is step 5 of 6 in the DataQuest Data Analyst Path and with the addition of material on Linear Algebra, it is step 5 of 11 in the DataQuest Data Scientist Path. “Learn Statistics for more robust data analysis.” The curriculum for this course includes material for beginners and for intermediates. The material for beginners covers: Introduction to Statistics Standard Deviation and Correlation Descriptive Statistics Linear Regression Distributions and … Continue Reading

Open Data Science Conference (ODSC) East

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Use Promo Code ODSC-BecomingDataSci for 5-20% off registration 2017 Event: May 3-5, 2017 – Boston, MA 2017 Speakers Tracks: Open Data Science, Machine Learning, Big Data Science, Open Visualization “ODSC – Open Data Science Conference – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. Our goal is to bring together the global data science community to help … Continue Reading

Machine Learning Cheat Sheet

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This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

Think Bayes

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Use your existing programming skills to learn and understand Bayesian statistics. Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing.