If you need to deal with unstructured data (perceptual tasks): Keras or PyTorch.
The two main machine learning techniques used in the industry today:
1. Gradient Boosted Trees
2. Deep Learning
Focus your time learning Scikit-Learn, XGBoost, and a Deep Learning library like Keras or PyTorch and you'll get the most for your time.
If you need to deal with unstructured data (perceptual tasks): Keras or PyTorch.
More from Santiago
More from Ds
1/
Get a cup of coffee.
In this thread, I'll walk you through 2 probability concepts: Standard Deviation (SD) and Mean Absolute Deviation (MAD).
This will give you insight into Fat Tails -- which are super useful in investing and in many other fields.
2/
Recently, I watched 2 probability "mini-lectures" on YouTube by Nassim Taleb.
One ~10 min lecture covered SD and MAD. The other ~6 min lecture covered Fat Tails.
In these ~16 mins, @nntaleb shared so many useful nuggets that I had to write this thread to unpack them.
3/
For those curious, here are the YouTube links to the lectures:
SD and MAD (~10 min): https://t.co/0TwubymdE6
Fat Tails (~6 min):
4/
The first thing to understand is the concept of a Random Variable.
In essence, a Random Variable is a number that depends on a random event.
For example, when we roll a die, we get a Random Variable -- a number from the set {1, 2, 3, 4, 5, 6}.
5/
Every Random Variable has a Probability Distribution.
This tells us all the possible values the Random Variable can take, and their respective probabilities.
For example, when we roll a fair die, we get a Random Variable with this Probability Distribution:
Get a cup of coffee.
In this thread, I'll walk you through 2 probability concepts: Standard Deviation (SD) and Mean Absolute Deviation (MAD).
This will give you insight into Fat Tails -- which are super useful in investing and in many other fields.
2/
Recently, I watched 2 probability "mini-lectures" on YouTube by Nassim Taleb.
One ~10 min lecture covered SD and MAD. The other ~6 min lecture covered Fat Tails.
In these ~16 mins, @nntaleb shared so many useful nuggets that I had to write this thread to unpack them.
3/
For those curious, here are the YouTube links to the lectures:
SD and MAD (~10 min): https://t.co/0TwubymdE6
Fat Tails (~6 min):
4/
The first thing to understand is the concept of a Random Variable.
In essence, a Random Variable is a number that depends on a random event.
For example, when we roll a die, we get a Random Variable -- a number from the set {1, 2, 3, 4, 5, 6}.
5/
Every Random Variable has a Probability Distribution.
This tells us all the possible values the Random Variable can take, and their respective probabilities.
For example, when we roll a fair die, we get a Random Variable with this Probability Distribution:
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Moderna CEO Stephane Bancel was previously CEO of bioMerieux in France from 07-10.
Alain Merieux, who owns bioMerieux, was instrumental in the creation of the Wuhan Institute of Virology P4 Lab.
The same people who helped create the virus, also helped to create the vaccines...
Moderna partnered with French Pasteur Institute in 2015 to develop mRNA vaccine technology.
Pasteur Institute partnered with the Wuhan P4 Laboratory in 2017 along with the Merieux Foundation to study emerging viruses...
https://t.co/yFsHwrNYaK
https://t.co/9M5lydBKhM
Nobel prize winning scientist Luc Montagnier asserts that Sars-Cov-2 is man-made and originated from the Wuhan Institute of Virology.
Montagnier did extensive work with the Pasteur Institute in France which was partnered with the Wuhan P4.
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Their research included "PATHOGENS CARRIED BY BATS" that provoke respiratory diseases.
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https://t.co/gVwpT0ssqI
Alain Merieux, who owns bioMerieux, was instrumental in the creation of the Wuhan Institute of Virology P4 Lab.
The same people who helped create the virus, also helped to create the vaccines...
Moderna partnered with French Pasteur Institute in 2015 to develop mRNA vaccine technology.
Pasteur Institute partnered with the Wuhan P4 Laboratory in 2017 along with the Merieux Foundation to study emerging viruses...
https://t.co/yFsHwrNYaK
https://t.co/9M5lydBKhM
Nobel prize winning scientist Luc Montagnier asserts that Sars-Cov-2 is man-made and originated from the Wuhan Institute of Virology.
Montagnier did extensive work with the Pasteur Institute in France which was partnered with the Wuhan P4.
Merieux Foundation & the Chinese government have worked together since 1965, and partnered to study emerging pathogens in Africa in 2015.
Their research included "PATHOGENS CARRIED BY BATS" that provoke respiratory diseases.
🚨🚨🚨
https://t.co/gVwpT0ssqI
MDZS is laden with buddhist references. As a South Asian person, and history buff, it is so interesting to see how Buddhism, which originated from India, migrated, flourished & changed in the context of China. Here's some research (🙏🏼 @starkjeon for CN insight + citations)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
