learning] [ datascience machinelearning learning career python productivity production omscs engineering lazada writing til misc business survey leadership deeplearning recsys agile spark nlp informalmentors ]
Chip shares openly about the setbacks she faced, overcoming them, and how writing changed her life.
Instead of "How to build a data science portfolio", we'll discuss the "Whys" and "Whats" around a portfolio.
For years I've refined my routines and found tools to manage my time. Here I share it with readers.
My tools for organization and creation, autopilot routines, and Maker's schedule
Why read papers, what papers to read, and how to read them.
How not to become an expert beginner and to progress through beginner, intermediate, and so on.
Surprising lessons I picked up from the best books, essays, and videos on writing non-fiction.
Why OMSCS? How can I get accepted? How much time needed? Did it help your career? And more...
Crocker's Law, cognitive dissonance, and how to receive (uncomfortable) feedback better.
What I Learnt about evaluating ideas from first-hand participation in a hackathon.
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
Writing begins before actually writing; it's a cycle of reading -> note-taking -> writing.
Beating the baseline using Graph & NLP techniques on PyTorch, AUC improvement of ~21% (Part 2 of 2).
Building a baseline recsys based on data scraped off Amazon. Warning - Lots of charts! (Part 1 of 2).
OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.
OMSCS CS6750 (Human Computer Interaction) - You are not your user! Or how to build great products.
OMSCS CS6440 (Intro to Health Informatics) - A primer on key tech and standards in healthtech.
OMSCS CS7646 (Machine Learning for Trading) - Don't sell your house to trade algorithmically.
OMSCS CS6601 (Artificial Intelligence) - First, start with the simplest solution, and then add intelligence.
OMSCS CS6460 (Education Technology) - How to scale education widely through technology.
OMSCS CS7642 (Reinforcement Learning) - Landing rockets (fun!) via deep Q-Learning (and its variants).
OMSCS CS7641 (Machine Learning) - Revisiting the fundamentals and learning new techniques.
OMSCS CS6300 (Software Development Process) - Java and collaboratively developing an Android app.
Tools and skills to pick up and how to practice them. An Invited Talk with Masters in IT candidates.
Tools and skills to pick up, and how to practice them.
OMSCS CS6476 Computer Vision - Performing computer vision tasks with ONLY numpy.
Got accepted into Georgia Tech's Computer Science Masters!
31 Jul 2016  ·  3 min  ·  [ learning ]
Learning Scala from Martin Odersky, father of Scala.