...

Full Bio

Use Machine Learning To Teach Robots to Navigate by CMU & Facebook Artificial Intelligence Research Team

128 days ago

Top 10 Artificial Intelligence & Data Science Master's Courses for 2020

129 days ago

Is Data Science Dead? Long Live Business Science

157 days ago

New Way to write code is about to Change: Join the Revolution

158 days ago

Google Go Language Future, Programming Language Programmer Will Get Best Paid Jobs

479 days ago

Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages

688332 views

Highest Paying Programming Language, Skills: Here Are The Top Earners

664413 views

Which Programming Languages in Demand & Earn The Highest Salaries?

469092 views

Top 5 Programming Languages Mostly Used By Facebook Programmers To Developed All Product

388482 views

World's Most Popular 5 Hardest Programming Language

337686 views

### Interview Study Guide for Data Science To Get Job Quickly

121 best resources to help you land your data science dream job.

- A die is rolled twice. What is the probability of showing a 3 on the first roll and an odd number on the second roll?
- In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?
- Alice has 2 kids and one of them is a girl. What is the probability that the other child is also a girl? You can assume that there is an equal number of males and females in the world.
- How many ways can you split 12 people into 3 teams of 4?

- Bias-Variance Trade-Off
- Confusion Matrix
- ROC curve
- Normal Distribution
- P-Value
- Pearson Spearman
- Normal distribution problem: z-scores (from ck12.org)
- Continuous Probability Distributions
- Standardizing Normally Distributed Random Variables (fast version)
- Statistics 101: Simple Linear Regression, The Very Basics
- Statistics 101: Linear Regression, Outliers, and Influential Observations
- Statistics 101: ANOVA, A Visual Introduction
- Statistics 101: Multiple Regression, The Very Basics
- Statistics: Variance of a population | Probability and Statistics | Khan Academy
- Expected Value: E(X)
- Law of large numbers | Probability and Statistics | Khan Academy
- Central limit theorem | Inferential statistics | Probability and Statistics | Khan Academy
- Margin of error 1 | Inferential statistics | Probability and Statistics | Khan Academy
- Margin of error 2 | Inferential statistics | Probability and Statistics | Khan Academy
- Hypothesis testing and p-values | Inferential statistics | Probability and Statistics | Khan Academy
- One-tailed and two-tailed tests | Inferential statistics | Probability and Statistics | Khan Academy
- Type 1 errors | Inferential statistics | Probability and Statistics | Khan Academy
- Large sample proportion hypothesis testing | Probability and Statistics | Khan Academy
- Boosting and Bagging