Tibor@ @_oomti
Nowhere Joined May 2018-
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#100DaysOfMLCode First round finish summary: Explored a few areas, Started a lot of projects, -finished some. Daily practice became more regular, experienced highs and lows in perceived difficulty, going easy or climbing the wall.
#100DaysOfMLCode Day 90 - 103: Coding assignment week 3, monteCarlo #move37 This project took a few iterations, I`m excited to have it done now github.com/oomti/100dayso… Also kept doing regional coding challenges and went for an interview.
#100DaysOfMLCode Day 83 - Day 89: Keep up with course #Move37 Keep updated on @sirajraval YT videos Read about implementation of Alphago zero Did round 5 and round 6 of regional coding challenge Finished coding assignment #Move37 week2, value iteration: github.com/oomti/100dayso…
#100daysofMLcode Day 77 - Day 82 : -Import mass csv to sqlite3: practiced string and date manipulation, file handling, file encoding and conversion, sqlite scripting, folder traversal. -Watched new Videos from @siraj, continue course #Move37 -Explore dlgo to reproduce #AlphaGo
#100DaysOfMLCode Day 73: Continue writing small environment for dynamic programming. Started a datascience project with a batch of csv files provided. Day 74: Take regional coding challenge part4 Day 75-Day 76: Continue Move37 course, continue working on datascience project.
#100DaysOfMLCode Day 69-72: Watch Tensorflow in Reinforcement Learning without PHD: youtube.com/watch?v=u4alGi… Went to job expo to see IT positions. Local Meetup cancelled, so checked the local library and University about resources related to AI / complex systems. Coding Python
#100DaysofMLCode Day 67: Still working on getting a good foundation in RL basics Watch: policy gradient method and proximal policy optimization youtube.com/watch?v=5P7I-x… Watch: RL-Python and assisted Q learning youtube.com/watch?v=nSxaG_… Day 68: Take part 3 of regional challenge
#100DaysOfMLCode Day 65: break Day 66: Still working on solving dynamic programming value iteration algorithmically... Temporary loss of momentum. Read about metamaterials for holography (arxiv.org/pdf/1512.07899…)
#100DaysOfMLCode Day 64: -Live TPU demonstration with @sirajraval on @GoogleColab -Revise my knowledge on holography (my standpoint is that holographic neural networks are viable) Hologram: videotorium.hu/hu/recordings/… . The image conserves light field. en.wikipedia.org/wiki/Holography
#100DaysOfMLCode Day 63: -Preparing for interview from system administration which I didn`t need in the end.
This is a really solid recorded lecture on @GoogleAI's new chip (the Tensor Processing Unit or TPU) both at the hardware and software level. I'd go so far as to says its the most comprehensive one that exists currently. Definitely check it out! youtube.com/watch?v=jgNwyw…
First pass at up <-> down keywords. Seems like "meta-learning", "imitation learning", and "architecture" search are up 🚀. Whereas "gan", "rnn", and "nlp" are down. 😬
#100DaysOfMLCode : Day 62: -Implemented a 4x4 gridworld model, and a state-action transition operator over it. -Watch Google Talk about Quantum/AI/Blockchain(only new info was about Majorana fermion) -Reading random articles on Markov Decision Process and Reinforcement Learning
How to visualize decision trees: A master class in visualization and a library for creating beautiful visualizations of decision trees by @the_antlr_guy, @groverpr4. explained.ai/decision-tree-…
When inspecting a dataset, most Data Scientists I know start by slicing and dicing the data in multiple ways to understand it better. Since so much of that code is repetitive, I am always interested in tools like this github.com/uwdata/falcon to automate it. Any recommendations?
#100DaysOfMLCode Day 61: -Take second round of regional coding challenges -Play around with @OpenAI gym environment -Keep learning about Dynamic programming
#100DaysOfMLCode Day 60: -Continue to work on week 2 of course MOVE37, dynamic programming, introduction to Monte Carlo Simulations -Read about how Linux Kernels are made up -Try out VIM
#100DaysOfMLCode Day 59: Started week 2 of course MOVE37 , introduction to dynamic programming.
#100DaysOfMLCode Day 78 of 100: Checking out @jeremyphoward's "Machine Learning for Coders" course. fast.ai is truly an extraordinary initiative! Playlist with the lectures: youtube.com/watch?v=CzdWqF… #ArtificialIntelligence #MachineLearning #FastAI
#100DaysOfMLCode Day 58: -Local Meetup, speaking about ML in general -Watch @siraj do @kaggle competition, livestream

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