Machine Learning: Practical labs with Math’s Core Foundation

[DOWNLOAD] Machine Learning: Practical labs with Math's Core Foundation Udemy Free Download

Udemy free download Machine Learning: Practical labs with Math's Core Foundation, with this course you can Machine Learning with Mathematics & Python Implementation [Course in progress] This course By Hafiz Muhammad Attaullah "Subject Matter Expert at CertiProf | Cisco Official Trainer".

29 lectures and 0 generic quizzes On-demand course with full lifetime Access multiple devices. DOWNLOAD YOURS NOW.

One way to know the usability of the course to know how many students took the course. Because if large number of people are taking this course, it means it has some value. So far, the total number of enrolments have crossed 44.

But enrolment alone is not a good yardstick to measure the value of any course. But positive reviews are!

This Udemy free download course was created in created and has an average 3.7 star rating out of 5. The total reviews for this course are 3 which is a number of reviews and ratings.

What Will You Learn From This Course?

  • Understand the fundamentals of artificial intelligence and machine learning
  • Describe the methods of machine learning: supervised and unsupervised
  • Use the data analysis for decision-Making
  • Understand the limits of algorithms
  • Understand and grasp Python programming, essential mathematics knowledge in ML, basic programming methods
  • Knowledge of Calculus, especially derivatives of single variable and multivariate functions
  • Self-driving cars, Amazon Alexa, Catboats, recommender system, and many more

What this instructor say's about His tutorial ?

This Machine Learning course provides basic and advanced concepts of machine learning. Our course is designed for students and working professionals.

Machine learning is a growing technology that enables computers to learn automatically from past data. Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information. Currently, it is being used for various tasks such as image recognition, speech recognition, email filtering, Facebook auto-tagging, recommender system, and many more.

This machine learning tutorial gives you an introduction to machine learning along with a wide range of machine learning techniques such as Supervised, Unsupervised, and Reinforcement learning. You will learn about regression and classification models, clustering methods, hidden Markov models, and various sequential models.

This course will be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner. This tutorial has been prepared for the students as well as professionals to ramp up quickly. This tutorial is a stepping stone to your Machine Learning journey.

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python, R and MATLAB code templates which you can download and use on your own projects.

Kind Regards

Hafiz Muhmmad Attaullah


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Udemy Free Download Machine Learning: Practical labs with Math's Core Foundation