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Sanskar

Keen Learner and Exp...ย โ€ขย 22d

Day 3 of learning mathematics for AI/ML as a no math person. Topic: vectors as a building block. I decided go in much depth regarding vectors as it is one of the foundational topic in machine learning therefore I want to develop a really solid base in it. Different fields have their own perspective about vectors for example physics see them as a arrows while CS see them as a an organised list and mathematics refer to them as anything which can be added and multiplied by a number. Then there's geometric perspective which says that vectors are rooted at an origin in a coordinate system. Then there's vector operations like addition and scalar multiplication. Geometric and numerical views help visualise space, patterns, and transformations and makes computation possible. I have also made my own handwritten notes (sorry for my handwriting though ๐Ÿ˜…) and I am also looking forward to study 11th maths (liner algebra topic) to make sure I didn't miss any thing basic.

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Day 2 of learning mathematics for AI/ML as a no math person. Topic: vectors and matrices. We use NumPy python library for these. I got introduced to the concept of vectors and matrices. Vectors are like lists and are divided Vectors are divided in

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Day 6 of learning mathematics for AI/ML as a no math person. Topic: solving questions. I have successfully completed exercise 3.1 of mathematics book it was a nice experience solving maths again like I used to do before. I also found that almost al

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Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divide

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The best website for research on any topic is https://explorer.globe.engineer/ Just search for a topic, and it will provide you with a lot of posts related to that topic. For example, I searched for content related to image SEO.

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