BC DATA SCIENCE

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Maria Khalusova
@mariaKhalusova 4 years, 4 months ago 793 views

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To my JVM friends looking to explore Machine Learning techniques - you don’t necessarily have to learn Python to do that. There are libraries you can use from the comfort of your JVM environment. 🧵👇

https://t.co/EwwOzgfDca : Deep Learning framework in Java that supports the whole cycle: from data loading and preprocessing to building and tuning a variety deep learning networks.

https://t.co/J4qMzPAZ6u Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).

https://t.co/9IgKkSxPCq a machine learning library in Java that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification.

https://t.co/EAqn2YngIE : TensorFlow Java API (experimental)

https://t.co/7TY0viBfF5: ML algorithms, feature preprocessing and pipelines. Scalable through distributed computations.

https://t.co/9EVdIXwJuo: The toolkit for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, language detection and more!

https://t.co/AnxgGmsux2: distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms.

https://t.co/fiexCElwRp : Statistical Machine Intelligence and Learning Engine: classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, nearest neighbor search..

https://t.co/kDGCjszAaA Kotlin∇ is a type-safe automatic differentiation framework in Kotlin. It allows users to express differentiable programs with higher-dimensional data structures and operators.

(Not yet released) automatic differentiation system for the Kotlin language: https://t.co/9ANDDIVW8o

https://t.co/jKeboC2z0V open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers.

https://t.co/pXkvxumzrw - a set of simple, scalable and efficient tools that allow the building of predictive Machine Learning models without costly data transfers.

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Goku Mohandas
@GokuMohandas

🔥 Putting ML in Production! We're going to publicly develop @madewithml's first ML service. Here is the broad curriculum:

- 📦 Product
- 🔢 Data
- 🤖 Modeling
- 📝 Scripting
- 🛠 API
- 🚀 Production

More details (lessons, task, etc.) here: https://t.co/xmMm9XGK9j

Thread 👇

Questions that this thread will answer:

- What is it?
- Who is this course for?
- What is the format?
- What makes this course unique?
- Why constrain to open source tools?
- What are my qualifications?
- Why is this free?
- What are the

What is it?

Putting ML in Production: a guide and code-driven case study on MLOps. We will be developing and deploying Made With ML's first ML service, from Product → ML → Production, with open source tools.

This ML service will act as a foundation for all future ML features and subsequent iterations. The first feature is tagifai - multilabel classification of tags for a project. We'll discuss the need and utility of this feature in the first lesson.

Who is this course for?

- ML developers looking to become end-to-end ML developers.
- Software engineers looking to learn how to responsibly deploy and monitor ML systems.
- Product managers who want to have a comprehensive understanding of the different stages of ML dev.

Greg Yang
@TheGregYang

1/ A ∞-wide NN of *any architecture* is a Gaussian process (GP) at init. The NN in fact evolves linearly in function space under SGD, so is a GP at *any time* during training. https://t.co/v1b6kndqCk With Tensor Programs, we can calculate this time-evolving GP w/o trainin any NN

2/ In this gif, narrow relu networks have high probability of initializing near the 0 function (because of relu) and getting stuck. This causes the function distribution to become multi-modal over time. However, for wide relu networks this is not an issue.

3/ This time-evolving GP depends on two kernels: the kernel describing the GP at init, and the kernel describing the linear evolution of this GP. The former is the NNGP kernel, and the latter is the Neural Tangent Kernel (NTK).

4/ Once we have these two kernels, we can derive the GP mean and covariance at any time t via straightforward linear algebra.

5/ So it remains to calculate the NNGP kernel and NT kernel for any given architecture. The first is described in https://t.co/cFWfNC5ALC and in this thread

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Jeremy Howard
@jeremyphoward

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

It's also a wonderful example of leveraging and customizing the fastai framework in a deep & thoughtful way.

Here's the full set of blog posts diving in to this

Simon DeDeo
@SimonDeDeo

On Bayesianism, the Many Worlds Interpretation, and personal identity.

Some thoughts worked out in a letter to a friend, which is the kind of thing you do when off Twitter for a glorious week. (🧵)

“Chance is ignorance”—the Bayesian story; all probabilities represent states of mind, not states of the world. One *could* put (some) chances “in the world”, but let’s take Occam’s Razor seriously...

That the probability of a fair coin coming up heads is 50% simply means that marginalizing (tracing, as the physicists say) over the hidden facts leaves you, nearly, maximally ignorant of the outcome.

Quantum uncertainty (access below!) poses an apparent challenge to this story. There seems to be nothing to be ignorant about when it comes to (say) electron spin—there is nothing “inside” the

The electron is a simple object, in other words. So where does the uncertainty come from? One could follow David Wallace’s wonderful interpretation in terms of chaotic dynamics and decoherence, but let’s see if we can take another route...

elvis
@omarsar0

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.

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Cookie Cyboid
@CookieCyboid

“Why are Tumblr and Facebook cracking down on sex so much? And why is Facebook in so over zealous about it? It’s all Apples fault!” Etc etc

I can explain all. It is largely the fault of a set of US laws called SESTA and FOSTA.

$Anu Satheesh \U0001f1ee\U0001f1f3$

Anu Satheesh 🇮🇳...
@AnuSatheesh5

Nanganallur Anjaneya Temple
#Chennai
#Tamilnadutemples 🚩

Bhaktha Anjaneya temple at Nanganallur in Chennai is one among tallest Anjaneyar Vigraham. Here Anjaneyar blesses with relief to all illness. Vigraham is about 32 feet height made of single stone.
Anjaneyar here is 👇

Sri Vishwaroopa Aadhivyathihara Baktha Anjaneya Swamy.

Sthala Puranam says that, this is the place where Indra Deva hit Hanuman on the cheek by his Vajrastram. Sri Raghavendra Swami and Sri Kanchi Paramacharyar were behind in building this temple. Temple is constructed to

Realize power of Anjaneyar who is seen both in Ramayana and Mahabharatha.
Vadamalai is important offering to Anjaneyar here. It is believed that vigraham contain powers to heal any disease. Shri Ramanavami is celebrated here.

Jai Sri Ram
Jai Hanuman
🙏🕉🙏

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Anshul Pandey
@Anshulspiritual

RISHI ASHTAVAKRA(DEVAL)

Those who are well versed in our ancient scriptures must definitely have come across the name of Ashtavakra Muni. Who was he and what is the story behind his body getting crooked from all sides.

Muni Asit was the son of Pracheta Rishi.

He was childless and this caused a lot of worry to him. But an Akashvani assured him that he should go to Shivji to get all his
worries nullified.

So he along with his wife go to Shivji and after paying him obeisance start singing Shivji's praises.

He describes Shiv as the one who is beyond any other thing, whose glory has no words to describe. After this the couple stands with folded hands in front of Rudradev. The strotras sung in praise of Shiv possess magical qualities even today.

Shiv gets satisfied by them soon and is ready to grant a boon.

Shiva told him that, he very well knew what the Muni desired. He then gives him the "Sansaar Vijay' mantra and asks him to keep reciting it. The Isht devi would come at an appropriate time and fulfill his wish.

Asit Muni kept reciting this mantra for hundred years. The Devi appeared and granted him the boon of a son as a Shivansh. A son was born and was named as Deval. He grew upto be a great scholar well versed and a handsome young man. Asit Muni got him married to Ratnamalavati.

$Anu Satheesh \U0001f1ee\U0001f1f3$

Anu Satheesh 🇮🇳...
@AnuSatheesh5

Bhoga Lakshmi Narasimha Swamy Temple
#Devarayanadurga
#Karnatakatemples 🚩

Bhoga Yoga Narasimha Swamy Temple, Devarayanadurga is located near Tumkur of Karnataka. There are two temples are here for Narasimha Swamy, one is at the base of the hill which is Bhoga Narasimhar and 👇

the other on the top of hill which is Yoga Narasimhar.

Bhoga Narasimha swamy Temple Prathista is said to be done by Maharshi Durvasa who did tapasya here. While doing tapasya Muni wished to bath in river Ganga and decided to travel to Ganga river bank,

At that time Ganga Devi appeared here and said she will remain here in the temple pond.

Yoga Narasimha swamy Prathista is believed to be done by Bhrama Deva who did tapasya here for many years.

Narasimhar appeared with Lakshmi Devi here to give darshan to Bhrama Deva here.

उग्रं वीरं महाविष्णुं ज्वलन्तं सर्वतोमुखम्।
नृसिंहं भीषणं भद्रं मृत्युमृत्युं नमाम्यहम् ॥

Om Shri Narasimha Murthaye Namah
🙏🕉🙏

What The Trans!?
@WhatTheTrans

A thread on how absurd the UK is on transgender issues and how the UK got so transphobic

In 2015 Parliament held an inquiry looking into the state of Transgender equality. Trans people of all stripes outlined many different problems across many, many different areas.

As a result Parliament created a list of recommendations including legal recognition for non binary people, gender recognition act reform, allowing 16 year olds to change their legal gender and reform of NHS gender identity services.

The government under Theresa May ignored everything that was recommended except for Gender recognition act reform. This act came into law in 2003 and gave trans men and women (but not non-binary people) the ability to legally change their gender on their birth certificates.

The process at that time to change your birth certificate under the GRA was to make an application to a panel of cisgender people who would decide if you were sufficiently trans based on your payslips, photo ID and bank statements. You would not get the option to speak to them.

(Also this process cost £140 which is just a tax on being trans)