Statistics for Machine Learning
Enroll in this statistics for machine learning course and its correlation analysis. Get ready for this interesting sesison by Dr. Abhinanda Sarkar, and give your career a success in the ML domain.
4.58
Beginner
3.75 Hrs
41.7K+
Ratings
Level
Learning hours
Learners
Skills you’ll Learn
About this course
An understanding of basic statistics for machine learning concepts provides a strong foundation for further learning in the fields of data analysis, data science, and even some areas of machine learning. Without statistics, it becomes nearly impossible to work on becoming an expert in this domain when working with real-time or industry-grade products. Hence, to understand the domain and actively implement it, statistics is very much the need of the hour for Machine Learning. This free online statistics in machine learning course covers the basics of descriptive statistics and data visualizations. You will be learning about the importance of this functional concept called statistics in this vast domain. Statistics is a key requirement which acts as a foundation to build up for further concepts down the line, hence it makes it very vital that you understand this. It also explains the various kinds of statistical distributions and how to apply them to business problems in a simple manner. The University of Texas at Austin, in collaboration with Great Lakes Executive Learning, offers several Post Graduate courses in the field of Artificial Intelligence. Explore more about our Artificial Intelligence Course and enroll in it to earn a Postgraduate Certificate in the Artificial Intelligence and Machine Learning online course from the University of Texas and Great Lakes Executive Learning. This course is #1 ranked in India, which ensures you become a successful AI/ML professional with a comprehensive curriculum and industry-relevant projects. Check out our PG Course in Machine learning Today.
Read More
Course Outline
Outline - Descriptive statistics
Data and Histogram
Central Tendency and 3 Ms
Measures of Dispersion Range and IQR
Standard Deviation
Trusted by 1 Crore+ Learners globally
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Is statistics required for machine learning?
Yes, statistics are very important for machine learning. As mentioned above, statistics is applied to the following machine learning tasks and phases:
What are some prerequisites to learn Statistics for Machine Learning?
To learn statistics for machine learning, you might have to need a certain skill set, including:
What statistics should I know for machine learning?
The basics of statistics are extremely important for working with machine learning models and algorithms. Other statistical methods important for machine learning are Hypothesis Testing, Bayes' Theorem, Binomial Distribution, Poisson Distribution, Normal Distribution.
Similar courses you might like
©2025 onlecource.com. All rights reserved