An introduction to Machine Learning

Please note that I&#x27;m not the author of the presentation. Made by Quentin de Laroussilhe <a href="http:&#x2F;&#x2F;underflow.fr" rel="nofollow">http:&#x2F;&#x2F;underflow.fr</a><p>I had to make a copy to my Google account to keep the slides.

Worth to mention that a Statistical Learning Stanford course [1] just started and according to the lecturers there is a lot of overlap in both areas.<p>[1] <a href="https:&#x2F;&#x2F;lagunita.stanford.edu&#x2F;courses&#x2F;HumanitiesSciences&#x2F;StatLearning&#x2F;Winter2016&#x2F;about" rel="nofollow">https:&#x2F;&#x2F;lagunita.stanford.edu&#x2F;courses&#x2F;HumanitiesSciences&#x2F;Sta...</a>

If you are just starting out with applied machine learning I would focus heavily on understanding bias and variance as it will really help you succeed. It&#x27;s I think what (largely) separates the sklearn kiddies from the pros.

This really is a fantastic presentation for newcomers to the field. When I was taking these classes I found it difficult to keep all of the available algorithms organized in my mind. Here&#x27;s an outline of his presentation:<p>Overview (5 slides)<p>General Concepts (9 slides)<p>K nearest Neighbor (6 slides)<p>Decision trees (6 slides)<p>K means (4 slides)<p>Gradient descent (2 slides)<p>Linear regression (9 slides)<p>Perceptron (6 slides)<p>Principal component analysis (6 slides)<p>Support vector machine (6 slides)<p>Bias and variance (4 slides)<p>Neural networks (6 slides)<p>Deep learning (15 slides)<p>I especially like the nonlinear SVM example on slides 57 and 58. It provides a visual of projecting data into a higher dimensional space.

Pretty good summary of what you learn in your first machine learning class in college.

Is there an online course for this I could take?

Nobody concerned about plagiarism here? I am pretty sure I&#x27;ve seen a number of the slides and graphics elsewhere. Correct attributions however seem amiss.

Yes, thank you. I&#x27;m hoping to build an ANN this summer and don&#x27;t have the luxury of taking an actual class.<p>Does anyone have any other resources?

that was a really good introduction :) sort of like an executive summary - all the &quot;why we care&quot; and some of the words you might want to look at to actually learn the details

Thanx for sharing this!!

is there a corresponding video where the slides are presented?

Thank you.