2022 Probability Statistics for Machine Learning

https://www.0daydown.com/wp-content/uploads/2021/11/4353116_ff55_14.jpgMP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 233 lectures (9h 32m) | Size: 2.11 GB

Learn Probability for Statistics, Data Science, Business decisions and Bayes Theorem for Machine Learning with Exercises


What you’ll learn:
Learn probability theory from scratch
You will learn Different types of distributions: Normal, Binomial, Poisson…
Learn set theory, permutation and combination in details
Understand how to link probability with statistics
You will learn how to apply Bayes’ theorem
You will learn mutually and non-mutually exclusive laws of probability
You will learn dependent and independent events of probaility
A lot more…

Requirements
Basic maths

Description
In this highly comprehensive probability course, you learn everything from Set theory, Combinatorics to Probability with tons of challenges and solutions. Probability is one of the bedrock of modern science such as machine learning, predictive risk management, inferential statistics, and business decisions. Understanding the depth of probability will empower you to solve numerous day-to-day business and scientific prediction problems. This course includes but is not limited to:

Sets

Universal Set

Proper and Improper Subset

Super Set and Singleton Set

Null or Empty Set

Power Set

Equal and Equivalent Set

Set Builder Notations

Cardinality of Set

Set Operations

Laws of Sets

Finite and Infinite Set

Number Sets

Venn Diagram

Union, Intersection, and Complement of Set

Factorial

Permutations

Combinations

Theoretical Probability

Empirical Probability

Addition Rules of Probability

Mutual and Non-mutual Exclusive

Multiplication Rules of Probability

Dependent and Independent Events

Random Variable

Discrete and Continuous Variable

Z-Score

Conditional Probability

Bayes Theorem

Binomial Distribution

Poisson Distribution

Normal Distribution

Skewness and Kurtisos

T – Distribution

Decision Tree of Probability

You will also have access to the Q&A section where you contact post questions. You can also send me a direct message.

Upon the completion of this course, you’ll receive a certificate of completion which you can post on your LinkedIn account for our colleagues and potential employers to view! All these come with a 30-day money-back guarantee. so you can try out the course risk-free!

Who is this course for:

Those starting from scratch in probability

Current students studying probability

Professional in the field of Data Science

Professionals in the banking industry

Professionals in the insurance industry

Who this course is for
Students and professionals
Those who need to understand how to apply probability to solve problems


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