# Tag: linear regression

### SAS Learning path and resources – Business Analyst in SAS

Curricula / References, Learning Guides, Etc.This is a curriculum compiled by Analytics Vidhya as a guide to learning SAS for business analytics. The curriculum is composed of the following steps: Step 0: Why learn SAS Step 1: Downloading and Installing SAS Step 2: Base SAS on sas.com Step 3: SQL Step 4: Descriptive Statistics with the Udacity Intro to Descriptive Statistics course Step 5: Inferential Statistics with the Udacity Intro to Inferential Statistics course Step … Continue Reading

### Learn Data Science

Curricula / References, Learning Guides, Etc.Learn Data Science is “a collection of Data Science Learning materials in the form of iPython Notebooks” and the “associated data sets.” The following topics are covered, with at least three notebooks including an Overview – an exposition of the technique for the math-wary”, Data Exploration – “the nuts and bolts of real world data wrangling”, and Analysis – “using the technique to get results”. Topics: Linear Regression Logistic Regression … Continue Reading

### Data Science from Scratch: First Principles with Python

Books / physical books or multiple formatsFrom 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

### Linear Regression and Modeling

Courses / Scheduled online courseThis is course 3 of 5 in the Statistics with R Specialization. From Coursera: “This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics … Continue Reading

### NIPS (Neural Information Processing Systems) Conference

Conferences / Gatherings and OrganizationsFrom NIPS Conference site: “The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting” Next event: December 4 – 9, 2017 – Long Beach, CA Registration begins September 1, 2017 Videos from NIPS Conference 2016: NIPS … Continue Reading

### Machine Learning Cheat Sheet

Books / Cheat Sheets / Free eBooks / References, Learning Guides, Etc.This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

### The Analytics Edge

Courses / Scheduled online course / Self-paced online courseThrough inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

### Practical Data Science with R

Books / physical books or multiple formatsPractical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations using examples from marketing, business intelligence, and decision support.

### 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 Science from Scratch: First Principles with Python

Books / physical books or multiple formatsIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

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