Best Machine Learning Free Course | Stanford University | Most Popular Course

Here I’ll let you know about the best course on Coursera of Data Science, which is Machine Learning offered by Stanford University. About 4 Million plus people have achieved this course and still getting this course in numbers. It a comprehensive and Basic course with 11 weeks duration. If you want to get Free certificate of this Course then click below, | Best Machine Learning Free Course | Stanford University | Most Popular Course

How to get Free Coursera Certificate?

135,350+ People have rated this course at 4.9 out of 5 and also more than 33,880+ people have given reviews after the completion. The Instructor of this course is Andrew Ng, the CEO/Founder of Landing Artificial Intelligence at Stanford University.

Main Topics of this Course

  1. Introduction Machine Learning, Supervised and Unsupervised Machine Learning, Machine Learning Honor code, Usage of Discussion forums, Mentors.
  2. Addition and Scalar Multiplication, Vectors and Matrices, Linear Regression with One Variable, and Linear Algebra.
  3. Linear Regression with Multiple Variables, Octave/Matlab Tutorial, Logistic Regression, Regularization, Neural Networks: Representation, Neural Networks: Learning, Advice for Applying Machine Learning, Machine Learning System Design, Support Vector Machines, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large Scale Machine Learning and Application Example: Photo OCR.

More about Machine Learning course

Machine-learning is the science of working without explicitly programming science. Machine-learning is so wide today that you’ll probably use it several times a day without using it. Many researchers also think that this is the best way to develop human-level AI. In this class, you will learn about the most effective learning techniques of machine learning, and get them to implement them and work for yourself. More importantly, you will not only learn about the theoretical rules of learning but also find practical ways to apply these techniques to new issues in a faster and more powerful way. Finally, you’ll learn about some of the best Silicon Valley methods in the innovation, as it’s about machine learning and AI.

This course provides a wide introduction to machine-rolling, data mining, and identification of statistical samples. Titles include (i) Under-monitoring Learning (Parameter/Non-Parameter algorithm, Support Vector Machines, Wisdom, National Network). (ii) Unsurveyed learning (short, dimension reduction, suggestion system, deep education). (iii) Best practice of machine-learning (innovation in the concept/transformational-Machine-Learning process and AI). | Best Machine Learning Free Course | Stanford University | Most Popular Course

Thus Go to the Course Machine Learning

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