
An amazing new project from @bearpelican was just released: https://t.co/DBov6sZTVS . A beautiful design; you can auto-generate a melody from chords, chords from a melody, and more.
It's technically brilliant, combining BERT, seq2seq, and Transformer XL
https://t.co/jF3mO5aXiu


https://t.co/jF3mO5aXiu
https://t.co/DrCJxxJRAy
https://t.co/GgatWxa9nM
https://t.co/U9Yp5IZpxt
More from Data science
I have always emphasized on the importance of mathematics in machine learning.
Here is a compilation of resources (books, videos & papers) to get you going.
(Note: It's not an exhaustive list but I have carefully curated it based on my experience and observations)
📘 Mathematics for Machine Learning
by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong
https://t.co/zSpp67kJSg
Note: this is probably the place you want to start. Start slowly and work on some examples. Pay close attention to the notation and get comfortable with it.
📘 Pattern Recognition and Machine Learning
by Christopher Bishop
Note: Prior to the book above, this is the book that I used to recommend to get familiar with math-related concepts used in machine learning. A very solid book in my view and it's heavily referenced in academia.
📘 The Elements of Statistical Learning
by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
Mote: machine learning deals with data and in turn uncertainty which is what statistics teach. Get comfortable with topics like estimators, statistical significance,...
📘 Probability Theory: The Logic of Science
by E. T. Jaynes
Note: In machine learning, we are interested in building probabilistic models and thus you will come across concepts from probability theory like conditional probability and different probability distributions.
Here is a compilation of resources (books, videos & papers) to get you going.
(Note: It's not an exhaustive list but I have carefully curated it based on my experience and observations)
📘 Mathematics for Machine Learning
by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong
https://t.co/zSpp67kJSg
Note: this is probably the place you want to start. Start slowly and work on some examples. Pay close attention to the notation and get comfortable with it.

📘 Pattern Recognition and Machine Learning
by Christopher Bishop
Note: Prior to the book above, this is the book that I used to recommend to get familiar with math-related concepts used in machine learning. A very solid book in my view and it's heavily referenced in academia.

📘 The Elements of Statistical Learning
by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
Mote: machine learning deals with data and in turn uncertainty which is what statistics teach. Get comfortable with topics like estimators, statistical significance,...

📘 Probability Theory: The Logic of Science
by E. T. Jaynes
Note: In machine learning, we are interested in building probabilistic models and thus you will come across concepts from probability theory like conditional probability and different probability distributions.
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On the occasion of youtube 20k and Twitter 70k members
A small tribute/gift to members
Screeners
technical screeners - intraday and positional both
before proceeding - i have helped you , can i ask you so that it can help someone else too
thank you
positional one
run - find #stock - draw chart - find levels
1- Stocks closing daily 2% up from 5 days
https://t.co/gTZrYY3Nht
2- Weekly breakout
https://t.co/1f4ahEolYB
3- Breakouts in short term
https://t.co/BI4h0CdgO2
4- Bullish from last 5
intraday screeners
5- 15 minute Stock Breakouts
https://t.co/9eAo82iuNv
6- Intraday Buying seen in the past 15 minutes
https://t.co/XqAJKhLB5G
7- Stocks trading near day's high on 5 min chart with volume BO intraday
https://t.co/flHmm6QXmo
Thank you
A small tribute/gift to members
Screeners
technical screeners - intraday and positional both
before proceeding - i have helped you , can i ask you so that it can help someone else too
thank you
positional one
run - find #stock - draw chart - find levels
1- Stocks closing daily 2% up from 5 days
https://t.co/gTZrYY3Nht
2- Weekly breakout
https://t.co/1f4ahEolYB
3- Breakouts in short term
https://t.co/BI4h0CdgO2
4- Bullish from last 5
intraday screeners
5- 15 minute Stock Breakouts
https://t.co/9eAo82iuNv
6- Intraday Buying seen in the past 15 minutes
https://t.co/XqAJKhLB5G
7- Stocks trading near day's high on 5 min chart with volume BO intraday
https://t.co/flHmm6QXmo
Thank you