10 Days With “Deep Learning for Coders”

My experience with the course and the book from “fastai” Image by Ryan McGuire from Pixabay The Background I started Practical Deep Learning for Coders 10 days ago. I am compelled to say their pragmatic approach is exactly what I needed. I started data science by learning Python, Pandas, NumPy, and whatever I needed in a short … Continue reading 10 Days With “Deep Learning for Coders”

Three Life Lessons

How to re-define Learning, Failures, and Motivation to find more fulfillment in life   Photo by Jen Theodore on Unsplash These definitions are what life has taught me. I have not read these in a book or watched in a video. These are my personal experiences and I used to think the opposite earlier. For learning, … Continue reading Three Life Lessons

Some key things I learned from Google’s “​ Introduction to Machine Learning Problem Framing”​ MOOC

I will get directly to the point: See if you can solve the problem without using ML. Sometimes a simple heuristic is good enough. Be clear about what you want and state it without using ML. Write your desired outcome in simple EnglishWhat do you expect the model to output?What kind of ML problem you are … Continue reading Some key things I learned from Google’s “​ Introduction to Machine Learning Problem Framing”​ MOOC

Data Science Career

Photo by Markus Spiske on Unsplash What is the biggest obstacle in shifting your career to Data Science or Machine Learning: No Masters/PhD?Lack of programming skills?You don’t know how to write advanced SQL queries?Less number of people in your network, offline/online?Not knowing Statistics?Don’t know Python well?You are not very good at Pandas and Scikit-learn?Can’t get … Continue reading Data Science Career