# Tag: bayes theorem

### Data Science and Machine Learning with Python – Hands On!

Courses / Self-paced online courseFrom Udemy: “Become a data scientists in the tech industry! Comprehensive data mining and machine learning course with Python & Spark. What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes’ Theorem to identify false positives Make predictions … Continue Reading

### Bayesian Statistics

Courses / Scheduled online courseThis is course 4 of 5 in the Statistics with R Specialization. From Coursera: “This course describes Bayesian statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show … Continue Reading

### Introduction to Probability and Data

Courses / Scheduled online courseThis 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

### Predictive Analytics World – San Francisco

Conferences / Gatherings and Organizations2017 Event: May 14-18, 2017 From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. he only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. Overview of PAW Conference 2017 Speakers

### Think Bayes

Books / Free eBooks / physical books or multiple formatsUse your existing programming skills to learn and understand Bayesian statistics. Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing.

### Data Science for Business: What you need to know about data mining and data-analytic thinking

Books / physical books or multiple formatsLearn how to improve communication between business stakeholders and data scientists, and how to participate intelligently in your company’s data science projects. Discover how to think data-analytically, support business decision-making with data science methods.

### Pattern Recognition and Machine Learning

Books / physical books or multiple formatsThis textbook is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics, and is aimed at advanced undergraduates or 1st-year PhD students, as well as practitioners.

### Data Analysis for the Life Sciences

Books / Free eBooks / physical books or multiple formatsData analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst.

### Statistics in a Nutshell

Books / physical books or multiple formatsStatistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject.

### Probability Cheat Sheet

Cheat Sheets / References, Learning Guides, Etc.This is an 10-page probability cheatsheet that summarizes important probability probability concepts, formulas, and distributions, with figures, examples, and stories.

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