BC DATA SCIENCE
Saved by @Alex1Powell

✨✨ BIG NEWS: We are hiring!! ✨✨
Amazing Research Software Engineer / Research Data Scientist positions within the @turinghut23 group at the @turinginst, at Standard (permanent) and Junior levels 🤩

👇 Here below a thread on who we are and what we

 We are a highly diverse and interdisciplinary group of around 30 research software engineers and data scientists 😎💻 👉 https://t.co/KcSVMb89yx #RSEng
We value expertise across many domains - members of our group have backgrounds in psychology, mathematics, digital humanities, biology, astrophysics and many other areas 🧬📖🧪📈🗺️⚕️🪐
https://t.co/zjoQDGxKHq
/ @DavidBeavan @LivingwMachines
In our everyday job we turn cutting edge research into professionally usable software tools. Check out @evelgab's #LambdaDays 👩‍💻 presentation for some examples: https://t.co/GzO9m1CGz4
We create software packages to analyse data in a readable, reliable and reproducible fashion and contribute to the #opensource community, as @drsarahlgibson highlights in her contributions to @mybinderteam and @turingway: https://t.co/pRqXtFpYXq #ResearchSoftwareHour
To know more, here's a day in the life of a Research Data Scientist in our group, @louise_a_bowler ! 💯👩‍💻
https://t.co/1KPERqj7If
We are expert collaborators and work with the @turinginst community and beyond to enhance the applicability of their research. Check out the spotlights of some of our members 🙌:
https://t.co/KknkBtl6bg / @CamilaRangelS @radka_jersak @louise_a_bowler
We often host and work together with members of the civil service @faststreamuk program - see @Kevinzhangxu's thread about his experience with us earlier this year 👌: https://t.co/0UeLNhIJ9L
We highly value the development and career progression of our members: we have a dedicated Junior training role, and through our internal promotion scheme people have been promoted to Senior, Principal and even to Director! If you'd like to know more, contact @martinoreilly!
Some of our projects are covered in the Turing Podcast 🎙️, started by @EChalstrey, a (former Junior!) Research Data Scientist from the team: https://t.co/kmpPE1UldD
We work on topics ranging from data security 🔐 to air traffic control ✈️, from modelling contact-tracing during the current pandemic 😷 to the industrial revolution 🚂 (@LivingwMachines): to find out more, see our website! 👇
https://t.co/PaYng3c5Qa
Or check out our brand new @TuringDStories project!! 😻😻https://t.co/PEWnUMxoXc / @DavidBeavan @CamilaRangelS @Kevinzhangxu
And now, about you...
If you understand the importance of good practices for producing reliable software and reproducible analyses (as described for instance by @turingway), are fluent in a programming language used in #DataScience, and love to learn new skills, we strongly encourage you to apply!
In addition, if you feel that your profile would support the Group's activities, we would love to hear from you! Look at our historian turned into data scientist 👨‍💻: https://t.co/WJyc77kt49 / @f_nanni @LivingwMachines
Or at the contributions of our seismologist @kasra_hosseini to research in #digitalhumanities
https://t.co/0jPjUXvtOu
Experience in teaching and training, building #opensource communities, scientific computing and other themes are also very welcome - surprise us!
In particular, if you have worked (or would love to work!) on cloud ☁️ or high performance computing get in touch! Tomas is available if you'd like to know more 😉:
https://t.co/dgkK45JzN6 #HPC
We welcome any informal inquiries and will set up drop-in sessions if you'd like to have a chat with members of the group before applying. Just send a message to @f_nanni or @CamilaRangelS, or subscribe here:
📨 https://t.co/3e4b0dsEDJ
Again, consider applying or pass it on to colleagues and friends who might be interested!!
👉 https://t.co/LnGW7JNQX5

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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.
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Maria Khalusova
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@mariaKhalusova
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.

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elvis
elvis
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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

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Sophie Hill
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This is a more wonky thread about how I made this visualization in #Rstats using the awesome visNetwork

First step is to create the underlying network data. We need one file of "nodes" - i.e. the people and organizations. And one file of "edges" - i.e. the connections between them.

I created these by hand, based on excellent investigate journalism:


Now we can pull these together to create a network visualization!

You'll notice that I included a column for "type" in the nodes file. This allows me to use different icons for people vs firms vs political organizations.


All the icons are taken from @fontawesome. I *think* the visNetwork 📦 currently only works with fontawesome version 4.7, which is a bit limited – e.g. I decided to use a book icon to represent the fringe Evangelical Christian sect "Exclusive Brethren"! 😂


I very much enjoyed getting to use the "incognito" icon to represent all the unknown donors that have funded Tory MP Owen Paterson's overseas jaunts!
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Jeremy Howard
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@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
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Sri Gurubhyo Namaha.


After the phenomenon called Sri Chandrasekhara Bharati came another one - Sri Abhinava Vidya Teertha [1954-1989] the 35th Jagadguru. Srinivasa was born on Nov 13, 1917. He was initiated into Sanyasa by Sri Chandrasekhara Bharati in 1931. He was Jagadguru for 35 years.

He was chosen and specifically trained to take over Peetadhipatyam from Sri Mahaswami. He is majorly responsible for the way Sringeri currently is. He built various buildings for devotees, Gajashala, Gooshala etc.

Acharya on conversions:
Once a person approached Sri Acharya that some other religions are trying to convert Hindus and requested Sri AVT to do prevent these conversions.

AVT replied - what do u mean by religion? Religion i.e. mata is related to 'mati' or intellect.
Caste is called 'jAti' which is related to janana or birth.
Ex- breed of a cow. we cannot change its qualities to resemble another breed by changing its name.
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Raman Shalupau
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@ksaitor
Maker movement is doing to startups what startups did to corporations.

Here is why 👇

Startups fixed the problem of innovation, that corporations lack.

In big, slow corporations, innovation is a RISK and distraction from the core $$$ profitable business.

Agile startups could launch, iterate fast and eventually stumble upon new growing market opportunities.

However,

When a startup reaches product-market-fit, it has to 🚀 "grow at all costs" and reach market dominance before some giant corporation can replicate their new product and distribute it to their existing giant customer base.

Startup's "growth at all costs" often means growth at the expense of charging customers $$$ money.

Hence, to be sustainable, startups have to constantly chase investor money.

Startup teams spend more time finding and pleasing investors, than finding and pleasing customers.

95% of startups die because they run out of (investor) money + no business model + crazy investor expectations.

Same way corporations die, when unable to adjust to new technology and market shifts.
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Kanekoa
Kanekoa
@KanekoaTheGreat
*The Evidence Collection*

There is overwhelming evidence of election fraud. Therefore it is the duty of the Executive, Legislative, & Judicial branches to throw out the fraudulent votes & to honor their oath to protect & defend the Constitution of the USA.🇺🇸🦅

A list below.🔻


1/ Navarro Report: The Immaculate Deception - Six Key Dimensions of Election Irregularities -

2/ Analysis of 3,000 U.S. counties shows Joe Biden received 5.6 % more votes in counties using Dominion Voting Systems (Video) -

3/ Antrim Michigan Dominion Voting Systems Forensics Report -

4/ Evidence Grows: ’20 Election Was Rigged -
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Michael T Spooky \U0001f383
Michael T Spooky 🎃...
@mtsw
(THREAD)

1. There's been a lot of news lately about people in the Autonomous Vehicle industry realizing the problem they're trying to solve is much trickier than they initially hoped.

I think there’s a good analogy in a similar technology: self-checkouts.


2. Self-checkouts have been around a while. Companies have been working on them since 1984, and they’ve been in stores around the country for nearly two decades. As you well know if you’ve used one, they also still kinda suck.

3. This is not for a lack of financial incentives! A company that could figure the technology out would be able to replace billions a year in labor. Even a marginal improvement on the tech would be incredibly valuable as current systems feature staggering losses to shoplifters


4. It’s not as if “scanning items at a checkout” is an especially daunting task. It’s considered unskilled labor. Teenagers do it.

5. Turns out that making an automated system that’s 95% as good as a human is relatively easy and one that’s 100% as good as a human is very hard. I think it’s becoming clear that autonomous vehicles are going to turn out like this
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Vigilant AFA
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One fascist to watch in 2021 is Joseph Charles "Oakman" Golinske of SE MI. He's been a Proud Boy for a couple years, but took a break recently from the group and promotes himself through the "Oak Nation" channel on Telegram.


Most people may be familiar with him as the tall guy in the Proud Boys bridge shot, from their August 17, 2019 attack on Portland, which featured an American Guard bus trying (and failing) to bludgeon antifascists with hammers.


He was also with his g/f at the time (Dominique Tota, left of Tarrio), and that's definitely a twitter account folks will want to block/report because he posts on it.


He's been plenty active at the pro-Covid/anti-mask/ReOpen protests in Lansing MI, seen here with Jerry Wayne and an effigy of Gretchen Whitmer, who his militia friends tried to kidnap and publicly execute.


Outside of the Proud Boys, his solo "career" with Oak Nation features the same misogyny, classism and gateway to far-right domestic terrorism the Proud Boys themselves feature. Here's him peddling oxychlorinque and bragging about harassing service workers.
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