Mathematical Foundation For Machine Learning and AI

Free Download Udemy Mathematical Foundation For Machine Learning and AI. With the help of this course you can Learn the core mathematical concepts for machine learning and learn to implement them in R and python.

This course was created by Eduonix Learning Solutions & Eduonix-Tech .. It was rated 4.6 out of 5 by approx 3913 ratings. There are approx 83525 users enrolled with this course, so don’t wait to download yours now. This course also includes 4 hours on-demand video, 5 Supplemental Resources, Full lifetime access, Access on mobile and TV & Certificate of Completion.

What Will You Learn?

  • Refresh the mathematical concepts for AI and Machine Learning
  • Learn to implement algorithms in python
  • Understand the how the concepts extend for real world ML problems

Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with the self-driving cars, medical diagnosis and even betting humans at strategy games like Go and Chess.

The future for AI is extremely promising and it isn’t far from when we have our own robotic companions. This has pushed a lot of developers to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn’t easy and requires extensive programming and mathematical knowledge.

Mathematics plays an important role as it builds the foundation for programming for these two streams. And in this course, we’ve covered exactly that. We designed a complete course to help you master the mathematical foundation required for writing programs and algorithms for AI and ML.

The course has been designed in collaboration with industry experts to help you breakdown the difficult mathematical concepts known to man into easier to understand concepts. The course covers three main mathematical theories: Linear Algebra, Multivariate Calculus and Probability Theory.

Linear Algebra – Linear algebra notation is used in Machine Learning to describe the parameters and structure of different machine learning algorithms. This makes linear algebra a necessity to understand how neural networks are put together and how they are operating.

It covers topics such as:

  • Scalars, Vectors, Matrices, Tensors
  • Matrix Norms
  • Special Matrices and Vectors
  • Eigenvalues and Eigenvectors

Multivariate Calculus – This is used to supplement the learning part of machine learning. It is what is used to learn from examples, update the parameters of different models and improve the performance.

It covers topics such as:

  • Derivatives
  • Integrals
  • Gradients
  • Differential Operators
  • Convex Optimization

Probability Theory – The theories are used to make assumptions about the underlying data when we are designing these deep learning or AI algorithms. It is important for us to understand the key probability distributions, and we will cover it in depth in this course.

It covers topics such as:

  • Elements of Probability
  • Random Variables
  • Distributions
  • Variance and Expectation
  • Special Random Variables

The course also includes projects and quizzes after each section to help solidify your knowledge of the topic as well as learn exactly how to use the concepts in real life.

At the end of this course, you will not have not only the knowledge to build your own algorithms, but also the confidence to actually start putting your algorithms to use in your next projects. Enroll now and become the next AI master with this fundamentals course!

Buy Udemy’s Mathematical Foundation For Machine Learning and AI

Note: We have purchased this course/tutorial from Udemy and we’re sharing the download link with you for absolutely FREE. So you can learn & be your own master if you can’t afford to buy this course. But if you have money we strongly suggest you to buy Mathematical Foundation For Machine Learning and AI course/tutorial from Udemy. So, the course’s author Eduonix Learning Solutions & Eduonix-Tech . can help you if you can’t understand something or if you want to learn something spectacular.

Free Download Udemy’s Mathematical Foundation For Machine Learning and AI

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