Wellll... A few weeks back I started working on a tutorial for our lab's Code Club on how to make shitty graphs. It was too dispiriting and I balked. A twitter workshop with figures and code:
When are you doing pie charts?
— #BlackLivesMatter (@surt_lab) October 13, 2020
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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ARE WE FAMILIAR WITH THE MEANING & POWER OF MANTRAS WE CHANT?
Whenever we chant a Mantra in Sanskrit, it starts with 'Om' and mostly ends with 'Swaha' or 'Namaha'. This specific alignment of words has a specific meaning to it which is explained in Dharma Shastra.
Mantra is a Sanskrit word meaning sacred syllable or sacred word. But Mantras r not just words put together,they r also vibrations.The whole Universe is a cosmic energy in different states of vibration &this energy in different states of vibration forms the objects of Universe.
According to Scriptures,Om is considered to be ekaakshar Brahman,which means Om is the ruler of 3 properties of creator,preserver&destroyer which make the https://t.co/lyhkWeCdtv is also seen as a symbol of Lord Ganesha, as when starting the prayer,it's him who is worshipped 1st.
'Om' is the sound of the Universe. It's the first original vibration of the nothingness through which manifested the whole Cosmos. It represents the birth, death and rebirth process. Chanting 'Om' brings us into harmonic resonance with the Universe. It is a scientific fact.
Therefore, Mantras are described as vibrational words that are recited, spoken or sung and are invoked towards attaining some very specific results. They make very specific sounds at a frequency that conveys a directive into our subconcious.
Whenever we chant a Mantra in Sanskrit, it starts with 'Om' and mostly ends with 'Swaha' or 'Namaha'. This specific alignment of words has a specific meaning to it which is explained in Dharma Shastra.
Mantra is a Sanskrit word meaning sacred syllable or sacred word. But Mantras r not just words put together,they r also vibrations.The whole Universe is a cosmic energy in different states of vibration &this energy in different states of vibration forms the objects of Universe.
According to Scriptures,Om is considered to be ekaakshar Brahman,which means Om is the ruler of 3 properties of creator,preserver&destroyer which make the https://t.co/lyhkWeCdtv is also seen as a symbol of Lord Ganesha, as when starting the prayer,it's him who is worshipped 1st.
'Om' is the sound of the Universe. It's the first original vibration of the nothingness through which manifested the whole Cosmos. It represents the birth, death and rebirth process. Chanting 'Om' brings us into harmonic resonance with the Universe. It is a scientific fact.
Therefore, Mantras are described as vibrational words that are recited, spoken or sung and are invoked towards attaining some very specific results. They make very specific sounds at a frequency that conveys a directive into our subconcious.