[P9-DS] My Data Science Path 2019 -NOV 8th week

Subject:How I understood machine learning , and i’ll teach you now

Photo by Jon Tyson on Unsplash

1.About this series:

Welcome back everyone , yes i made it (haha) yeah i said that i won’t write blog for one month before that's(13–10–2019 to 13–11–2019) because of my semester’s and festivals and October huhuh but now its (16–11–2019) yowiewowie , i’m back.

2.Best ML courses I figured out:

I said i will not learn machine learning for 1 month , i’ll take some rest from learning right but unfortunately i started learning Machine Learning because that not allowed me to sleep.So i searched for various Sources even downloaded some paid courses syllabus also , but that haven’t worked i didn’t found anything useful , suddenly on edX i found this course that’s very useful from UCSanDiegoX and udacity Machine Learning course are the best that i think because i even took Andrew ng ML courses ALSO.

1. edX Machine Learning course
2. udacity Machine Learning course

3.What really machine learning is:

What if i say Machine Learning and Deep Learning are the things that have only 3 principles called:

1. Tensors
2. Loss Function
3. Distance metrics

Agree with me these are things that used to build/create any type of new machine leaning algorithm even Deep Learning algorithm also , I don’t know about(reinforcement Learning ). Let me explain you in detail.and also What Math you need to learn:

I wrote a separate blog post , there i explained how or what are the 3 topics means:

What really machine learning is

Trust me you no need / don’t want to learn whole syllabus of Linear Algebra , Statistics , Calculus.

4)So what’s next for me:

Always remember one thing that the path of learning will never end , we can’t master all the things no one can , So choose your domain , i’m moving towards NLP and NLU because whenever i see the kaggle comps there are only two types text or image analysis .

I’m not saying i won’t learn Computer-vision basically i know something about OpenCV , and NLP (NLTK,TextBlob) this my first project that’s the way i moved towards this Data Science Field.

Now i’m planning of first learn and build some projects in NLP and apply for works because only 3 more months i’m having to complete bachelor's degree.

Later / after joining work i’ll move to Computer Vision because i basically know some Image per-processing and some classification etc..

And i even have some basic knowledge of CNN (Polling ,Padding ) , but i’m very much interested in Text Processing RNN . So let’s see what happens.

See you Next Week , I’ll be back