This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Necessary concepts in stats and probability
- Important concepts in the subject necessary for Data Science and/or ML
- Distributions and their importance
- Entropy - the foundation of all Machine Learning
- Intro to Bayesian Inference
- Applying concepts through code
Course Overview
Pre-requisites
- Basic knowledge of coding
- No maths background needed (beyond basic arithmetic)
- Crash course of Python provided in the contents
Target Audience
- Beginner ML and data science developers who need a strong foundation
- Developers curious about data science and machine learning
- People looking to find out why probability is the foundation of all modern machine learning
- Developers who want to know how to harness the power of big data
Curriculum 32 Lectures 06:37:37
-
Section 1 : Diving in with code
- Lecture 2 :
- Code Env Setup and Python Crash Course
- Lecture 3 :
- Getting Started with code- Feel of data
- Lecture 4 :
- Foundations, data types and representing data
- Lecture 5 :
- Practical note: one-hot vector encoding
- Lecture 6 :
- Exploring data types in code
- Lecture 7 :
- Central Tendency
- Lecture 8 :
- Resources
-
Section 2 : Measures of Spread
- Lecture 1 :
- Dispersion and spread in data
- Lecture 2 :
- Dispersion exploration through code
-
Section 3 : Applications and Rules for Probability
- Lecture 1 :
- Introduction to Uncertainty , Probability Intuition
- Lecture 2 :
- Simulating Coins Flip for probability
- Lecture 3 :
- Conditional probability; the most important concept in stats
- Lecture 4 :
- Applying conditional probability - Bayes rule
- Lecture 5 :
- Application of Bayes rule in real world - Spam detection
- Lecture 6 :
- Spam detection - implementation issues
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Section 4 : Counting
- Lecture 1 :
- Rules for counting (Mostly optional)
-
Section 5 : Random Variables - Rationale and Applications
- Lecture 1 :
- Quantifying Events random Variables
- Lecture 2 :
- Two random variables - joint probabilities
- Lecture 3 :
- Distributions - rationale and importance
- Lecture 4 :
- Discrete distributions through code
- Lecture 5 :
- Continuous distributions - probability densities
- Lecture 6 :
- Continuous distributions code
- Lecture 7 :
- Case study - sleep analysis, structure and code
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Section 6 : Visualization in Intuition Building
- Lecture 1 :
- Visualization joint distributions - The Road of ML Success
- Lecture 2 :
- Dependence and variance of two random variables
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Section 7 : Applications to the Real World
- Lecture 1 :
- Expected values - decision making through probabilities
- Lecture 2 :
- Entropy Basics
- Lecture 3 :
- Applying entropy - coding decision trees for machine learning
- Lecture 4 :
- Foundations of Bayesian inference
- Lecture 5 :
- Bayesian inference code through PyMC3
- Lecture 6 :
- Resources
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
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Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
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