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Learnings

My approach towards getting good at ML — and Data Science in general — is inspired by this response by Andrew Ng on Quora. Here's the TLDR-poster version of it:

I try to follow this advice as well:


This page is a work in progress; I'll eventually add descriptions to the courses.

Catalogue of MOOCs I've taken over the years; listed in reverse chronological order:

Data Engineering, Big Data, and Machine Learning on GCP Specialization

Offered By:

Completed: Aug, 2019

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Building Resilient Streaming Systems on Google Cloud Platform

Offered By:

Completed: Aug, 2019

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Learning Docker

Offered By:

Completed: Aug, 2019

Certificate

Intro to Self-Driving Cars Nanodegree

Offered By:

Completed: Mar, 2019

I'm highly interested in the field of autonomous driving. This is the first course offered by Udacity in the field. It sets up the fundamentals — Bayesian thinking, Kalman filters, A* search, working with matrices in C++, etc. — needed for the much more comprehensive course 2 (which I'll be taking in the near future).

Certificate

Practical Deep Learning for Coders, v3, Part 1

Offered By: fast.ai

Completed: Dec, 2018

Deep Learning Specialization

Offered By:

Completed: Nov, 2018

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Sequence Models

Offered By:

Completed: Nov, 2018

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Convolutional Neural Networks

Offered By:

Completed: Nov, 2018

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Structuring Machine Learning Projects

Offered By:

Completed: Oct, 2018

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Machine Learning for Coders

Offered By: fast.ai

Completed: Sept, 2018

This was the first fast.ai course that I took; solid practical introduction to ML.

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Offered By:

Completed: Sept, 2018

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Neural Networks and Deep Learning

Offered By:

Completed: Sept, 2018

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Java Build Automation With Maven

Offered By:

Completed: Aug, 2018

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Machine Learning & AI Foundations: Decision Trees

Offered By:

Completed: Aug, 2018

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Statistics Foundations 1

Offered By:

Completed: Aug, 2018

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pandas Essential Training

Offered By:

Completed: Aug, 2018

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Artificial Intelligence Foundations Neural Networks

Offered By:

Completed: July, 2018

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Building and Deploying Deep Learning Applications with TensorFlow

Offered By:

Completed: July, 2018

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Neural Networks And Convolutional Neural Networks Essential Training

Offered By:

Completed: July, 2018

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Serverless Machine Learning with Tensorflow on Google Cloud Platform

Offered By:

Completed: Mar, 2018

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Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Offered By:

Completed: Mar, 2018

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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Offered By:

Completed: Mar, 2018

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Google Cloud Platform Big Data and Machine Learning Fundamentals

Offered By:

Completed: Mar, 2018

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Interactivity With Javascript

Offered By:

Completed: Jan, 2016

6.00.2x: Introduction to Computational Thinking and Data Science

Offered By:

Completed: Dec, 2015

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Algorithms: Design and Analysis

Offered By:

Completed: Dec, 2015

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Using Databases with Python

Offered By:

Completed: Dec, 2015

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Databases: JSON Data

Offered By:

Completed: Jan, 2015

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Databases: SQL

Offered By:

Completed: Dec, 2015

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Databases: XML Data

Offered By:

Completed: Nov, 2015

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Relational Algebra

Offered By:

Completed: Oct, 2015

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Internet History, Technology, and Security

Offered By:

Completed: Oct, 2015

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Introduction to CSS3

Offered By:

Completed: Oct, 2015

Using Python to Access Web Data

Offered By:

Completed: Sept, 2015

Responsive Website Basics: Code with HTML, CSS, and JavaScript

Offered By:

Completed: Sept, 2015

Python Data Structures

Offered By:

Completed: Sept, 2015

This course comes from the great and powerful Professor Chuck Severance. He's one of the most relatable professors out there, and has single-handedly made learning Python easy — and fun — for thousands of people through his courses (they're available free of charge now!). Had the privilege of meeting him in October, 2018 at PyCon; super awesome guy.

Introduction to HTML5

Offered By:

Completed: Sept, 2015

Certificate

6.00.1x: Introduction to Computer Science and Programming Using Python

Offered By:

Completed: Sept, 2015

This was the first ever CS MOOC I took, which engendered in me, an intense curiosity for the field. This is a solid introduction to Python, as well as the fundamentals of CS. Professor Eric Grimson is one of the finest teachers out there, period.

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