The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.
This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.
Bro 😂 you don’t need to waste half the video explaining dumb shit like what a csv file is. No noob is coming to this video for any reason. No one status their dev career with ML and just expects you to teach them what a puppy dog is. 🤦
I don't know if your are still active if so please more on linear algebra for AI in general, I realy find you the most adequate one to explain gilbert strang book on linear algebra big project yes bet you are excellent not every one is good in teaching but you are really one of the best thank you
Bro he is Shrikant Verma he is data scientist at Microsoft he is also teacher at scaler academy, to access his free courses you can checkout scaler topics there you will get his free courses like DBMS , SQL and all ...search on Google or any browser..
For tiger analytics online assessment if you are able to solve bit of code but u dont manage to clear any test cases is it considered fail, sir and whats the cut off they keep
Great Explanation. At time stamp 6.30 you mentioned that there are 28 rows and 28 columns. But if we count it's 14x14. Am I missing something here? I would also like to understand how the values are assigned to the grey pixels?
Actually they are taking money by giving fake job guarantee or refund assurance. I have completed this course and they didn't bring any suitable company where I can apply with my profile. Then I asked for refund and they denied. Also, I came to know those who applied to companies through them also didn't get job or refund. I think initially they secured job to some of the candidates and thereby got publicity and later they cheated us. I am not regretting for the course fee but getting annoyed with the way they violated their terms and conditions.
The reason why the 2 plots (your plot and the one from scikit-learn library) are not the same is that you are not reversing the vectors array along the columns (vectors = vectors[:, ::-1]), since eigh() is returning the vectors on ascending order and you need them on descending order.
there is no need of proof, because its a direct single line statement. d = projection of P on the vector w P . W d = ----- ||W|| W |--------------* P | | d| | | |d |_________|_______________ (0,0)
