BC MACHINE LEARNING

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$Prashant \U0001f4da$

Prashant 📚
@capeandcode 4 years, 3 months ago 662 views

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Ever heard of Autoencoders?

The first time I saw a Neural Network with more output neurons than in the hidden layers, I couldn't figure how it would work?!

#DeepLearning #MachineLearning
Here's a little something about them: 🧵👇

Autoencoders are unsupervised neural networks whose architecture you can picture as two funnels connect from the narrow ends.

These networks are primary focus for compression tasks of data in Machine Learning.

We feed them the data so that they can learn the most important features, a smaller representation while keep the integrity of the data.

Later when someone needs, can just take that small representation and recreate the original, just like a zip file.📥

Being unsupervised, they require no labels.
Our inputs and outputs are same and a simple euclidean distance can be used as a loss function for measuring the reconstruction.

Of course, we wouldn't expect a perfect reconstruction.

We can think of an autoencoder having two components, encoder and decoder, represented by the below equations:

We are just trying to minimize the L here. All the backpropagation rules still hold.

Advantages over PCA:

▫️ Can learn non-linear transformations, with non-linear activation functions and multiple layers.

▫️ Doesn't have to learn only from dense layers, can learn from convolutional layers too, better for images, videos right?

▫️ More efficient to learn several layers with auto-encoders rather than one huge transformation with PCA

▫️ Can make use of pre-trained layers from another model to apply transfer learning to enhance the encoder /decoder

Some Common Applications:

🔸 Image Colouring
🔸 Feature Variation
🔸 Dimensionality Reduction
🔸 Denoising Image
🔸 Watermark Removal

Some famous types of autoencoders:

🔹 Convolution Autoencoders
🔹 Sparse Autoencoders
🔹 Deep Autoencoders
🔹 Contractive Autoencoders

Here's the first implementation that I did for dimensionality reduction a couple years, minimal code.
🔗https://t.co/AfAdbA6zMi

More from Machine learning

Cassie Kozyrkov
@quaesita

1/🧵 Good #DataScience advice that breaks pretty much every rule you learned in class... a thread. (+full blog post linked)

English version: https://t.co/dG4l6vPFBT
Spanish version: https://t.co/gFAjPQ5clS

#AI #MachineLearning #Statistics #RStats

2/🧵 Allow your approach to be sloppy at first and burn some of your initial time, energy, and data on informing a good direction later. That's right, you're supposed to start sloppily ON PURPOSE.

3/🧵 Have a phase where the only result you’re after is *an idea of how to design your ultimate approach better.*

4/🧵 In other words, start with a pilot phase where the objective isn't finding answers, it's finding a good approach to finding answers.

5/🧵 That means you're encouraged (ENCOURAGED!) to start with everything your stats classes told you not to do:

Pratham Prasoon
@PrasoonPratham

Which libraries do you really need to get started with Machine Learning and why?

🧵👇

First and foremost, make sure that you have nailed the fundamental concepts of Python because machine learning requires a lot of programming!

(2 / 19)

If you know these topics, then you are good to go with machine learning in Python

- Object-oriented programming in Python:Classes,Objects,Methods
- Lists & List functions
- List comprehension
- List slicing
- String formatting
- List,Dictionaries & Tuples

(3 / 19)

Now, let's understand what popular python machine learning libraries do.

We will talk about👇
- TensorFlow (+ Keras)
- PyTorch
- Pandas
- Numpy
- Matplotlib
- SciKit Learn
- Seaborn

(4 / 19)

Now let's cover the libraries that you have to learn (at least the basics) for machine learning

1. Pandas

Pandas is a python library that allows you to store and read data from spreadsheets ( .csv, .xlsv files ) in structures called Dataframes.

(5 / 19)

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Pratham Prasoon
@PrasoonPratham

Here's everything you need to know about the math for machine learning.

(+ free resources )
🧵👇

Before diving into the math, I suggest first having solid programming skills.

For example👇

(2 / 18)

In Python, these are the concepts which you must know:

- Object oriented programming in Python : Classes, Objects, Methods
- List slicing
- String formatting
- Dictionaries & Tuples
- Basic terminal commands
- Exception handling

(3 / 18)

If you want to learn those concepts for python, these courses are freecodecamp could be of help to you.

🔗Basics:youtube∙com/watch?v=rfscVS0vtbw
🔗Intermediate :youtube∙com/watch?v=HGOBQPFzWKo

(4 / 18)

👉You need to have really strong fundamentals in programming, because machine learning involves a lot of it.

It is 100% compulsory.

(5 / 18)

John Burn-Murdoch
@jburnmurdoch

Really enjoyed digging into recent innovations in the football analytics industry.

>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇‍♂️ https://t.co/9YOSrl8TdN

For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.

This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5

Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.

Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN

So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?

Santiago
@svpino

For a long time, I didn't understand how to use Virtual Environments in Python 🐍.

If this is just, let's end it here and now: 🧵👇

[2] Virtual Environments let you deal with the dependencies that your code has with external Python libraries.

It avoids having conflicts when your projects depend on different versions of the same library.

👇

[3] Let's imagine that you are building your first Python project and you install the "requests" library:

pip install requests

You get version 2.24.0 installed in your system.

👇

[4] A month later, you decide to work on your second project. It also needs the "requests" library.

But the latest version is not 2.24.0 anymore.

Now version 3 is available, and that's the one you want to use!

👇

[5] You could upgrade your entire system to version 3, but then you'll be potentially breaking the first project you built that depends on 2.24.0!

Can you imagine this happening on a server with many more applications running?

👇

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Nicolas
@necolas

A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
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https://t.co/qyl4Bt1i5x

PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
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0 media queries
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15 unique font sizes
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https://t.co/w7oNG5KUkJ

The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.

Eileen May
@suleskerry

Joanna Cherry:"Alex Salmond secured a concession that nothing in Scotland Act would preclude the people of Scotland from subsequently choosing an independent future. This is recorded in Hansard during second reading of Referendums (Scotland & Wales) Bill, May 21, 1997."

Donald Dewar said: “I should be the last to challenge the sovereignty of the people, or deny them the right to opt for any solution to the constitutional question they wished. For example, if they want to go for independence, I see no reason why they should not do so." JC

"In same debate Alex Salmond went on to emphasise that “… the Claim of Right referred to sovereign right of the Scottish people to determine a form of Govt best suited to their needs. It did not suggest sovereignty resides with English Members of Parliament." Joanna Cherry

Joanna Cherry: "Donald Dewar articulated the democratic norm later enshrined in the Edinburgh Agreement. His concession laid the foundation for the 2014 referendum in recognising the rights of Scots to choose whether to remain part of our voluntary union with England."

"I am wholly in agreement with view that we must find a legal & constitutional way to demonstrate that public opinion in Scotland has changed since 2014 referendum, in order for our independence to be internationally recognised & therefore meaningful." Joanna Cherry

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Anshul Pandey
@Anshulspiritual

BRAHMA VAIVARTA PURAN: IMPORTANCE AND CHARACTERISTICS.

This Puran introduces us to way of Vedas. On the request of Narad Muni Bhagwan Saavarni had preached this Puran. It is a summary of Dharma, Arth, Moksha etc.

Listening to this Puran one gets automatically attached to Vishnu and Shiva and realize that there is no difference between them. Vyasji divided this book into four parts. It has eighteen thousand shlokas. This whole book is in the form of dialogue between Suutji and Maharishi's.

The first part Brahmkhand, consists of Shrishti description. Here Shri is known as Para Brahma and description of Gokul is also mentioned, It also narrates the argument between Brahma and Narad in which both were defeated, and then Narad went to Shiva to attain more gyan.

Shivji advised him to go to Bhagwan Saavarni for this. Narad goes to Saavarni ashram to seek Knowledge and is totally amazed by the sorroundings.

Next is Prakriti khand which consists of dialogue between Narad and Saavarni where they discuss the

Importance of Shri Krishna through various stories. Then there is the discussion of Prakriti and its various hues. Listening to this gets you wealth.
Next is Ganesh Khand which describes the Punyak vrat done by Parvati ji. After this it narrates the birth of Kartikeya and Ganesh.

$Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193$

Billy Bostickson 🏴👁&👁 ...
@BillyBostickson

1. Project 1742 (EcoHealth/DTRA)
Risks of bat-borne zoonotic diseases in Western Asia

Duration: 24/10/2018-23 /10/2019

Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug

2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48

3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN

4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA

5, Methods and Expected Outcomes
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SK
@sk_diary1

Sri Sanjeevi Rayar Temple located in Ayyangar Kulam,near Kanchipuram,TN

#Thread

Ancient but beautiful temple dedicated to Hanuman. This temple is a legendary one. According to the Sthala Puranam of Sanjeevi Rayar temple,it is associated with an episode from Ramayana.

Legend story -Hanuman was flying from Himalayas to Lanka bearing Sanjeevi hill to revive Lakshmana during battle between Rama& Ravana, a piece of the Sanjeevi Parvat fell at this place.Many believe this legendary story & even today that no one here dies of any kind of poisoning.

From historical background of the temple it is known that temple was originally built by a great scholar &administrator Kotikanyadanam Lakshmikumara Tatacharya. Temple itself&village were named following name of great scholar Tatacharya, who was then popularly known as Ayyangar.

He was the royal preceptor of Vijayanagara emperor Venkata Raya who had his capital at Chandragiri in AP.Upon returning from a pilgrimage,robbers tried to attack Tatacharya at this place. Being a great devotee of Hanuman,he instantly composed a poem in Sanskrit praising Hanuman.

The bandits immediately ran away &Tatacharya decided to build a temple dedicated to Anjaneya at that very place.This Sanskrit poem is called Hanumad Vimshati, has been inscribed in Grantha script inside this temple.The huge temple tank called Tatasamudram, in honor of Tatacharya.