Video lecture on geodesics

Geodesics generalize the idea of "straight lines" to curved spaces—like the circular arc an airplane takes across the globe. This video gives a crash course on geodesics, using geometric algorithms to help tell the story.

Video: https://youtu.be/uojNGbVtlsQ

#closeenough #othermath

Online Seminar on Mathematical Foundations of Data Science
https://bit.ly/3bikw7x

7 Reasons To Not Hire a Data Scientist
https://bit.ly/2YBa48y

Don’t Fear the Robot
https://bit.ly/2WIGhrV

CNN Explainer. Learn Convolutional Neural Network (CNN) in your browser!
https://bit.ly/35LUqZu

My First Year as a Freelance AI Engineer
https://bit.ly/3clyNBV

Using Neural Networks to Find Answers in Tables
https://bit.ly/2WLpHHQ

The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?
https://bit.ly/3dHfBPs

AI and Efficiency
https://bit.ly/2Lq2wO0

The Nooscope Manifested. AI as Instrument of Knowledge Extractivism
https://bit.ly/2WNmcRw

Don’t Regulate Artificial Intelligence: Starve It
https://bit.ly/2WNNQ0G

Abstraction and Reasoning Challenge winners

There is a very interesting challenge by #Francois Chollet about can a computer learn complex abstract tasks through maybe reasoning from a few examples?

And here is the first place with descriptions!
https://www.kaggle.com/c/abstraction-and-reasoning-challenge/discussion/154597

But author doubts about his solution brings us to AGI, but it's interesting to look through :)

"This DSL is solved by enumeration (exploiting duplicates) + a greedy stacking combiner. Everything is implemented efficiently in C++ (with no dependencies) and running in parallel."

There are 10k lines of code and a bunch of tricks that you can read about on the link.

Though second and third place also interesting – you can find it in discussion section here https://www.kaggle.com/c/abstraction-and-reasoning-challenge/discussion

The 3d place even almost don't use ML :)

So, nothing close to general reasoning here : )

#kaggle #chollet #AGI #stacking

DEEP LEARNING PROJECT with PYTHON
An Extra Ordinary Project that everyone must try at least once 🔥🔝💯👍🏻



https://data-flair.training/blogs/deep-surveillance-with-deep-learning-intelligent-video-surveillance-project/

ScienceAlert - Latest
Vast Roman Town Abandoned Centuries Ago Revealed by Ground-Penetrating Radar

➖ @sciencetoall ➖

AN INTERESTING PYTHON PROJECT
The easiest way to sharpen your Python skills 💯🆕🔥🔝


https://data-flair.training/blogs/project-in-python-colour-detection

The Most Important Fundamentals of PyTorch you Should Know

https://blog.exxactcorp.com/the-most-important-fundamentals-of-pytorch-you-should-know/

Code: https://github.com/tirthajyoti/PyTorch_Machine_Learning

Machine Learning in Dask

In this article you can learn how Dask works with a huge dataset on local machine or in a distributed manner.

https://www.kdnuggets.com/2020/06/machine-learning-dask.html

PYTHON for DATA SCIENCE
A Match made in Heaven 🔥💯🔝🤩👍🏻



https://data-flair.training/blogs/learn-python-for-data-science/

Computer Vision using Tensorflow

https://levelup.gitconnected.com/computer-vision-using-tensorflow-946718d3c123

Full Code can be found on my Github

Extracting the main trend in a dataset: the Sequencer algorithm

The Sequencer is an algorithm that attempts to reveal the main sequence in a dataset, if it exists.

http://sequencer.org/

Github: https://github.com/dalya/Sequencer

Paper: https://arxiv.org/abs/2006.13948v1

​​(Re)Discovering Protein Structure and Function Through Language Modeling

Trained solely on unsupervised language modeling, the Transformer's attention mechanism recovers high-level structural (folding) and functional properties of proteins!

Why this is important: traditional protein modelling requires lots of computational power. This might be a key to more efficient structure modelling. Protein structure => function. Function => faster drug research and understanding of diseases mechanisms.

Blog: https://blog.einstein.ai/provis/
Paper: https://arxiv.org/abs/2006.15222
Code: https://github.com/salesforce/provis

#DL #NLU #proteinmodelling #bio #biolearning #insilico

Free MIT Courses and book on Calculus: The Key to Understanding Deep Learning

Course: https://ocw.mit.edu/resources/res-18-005-highlights-of-calculus-spring-2010/

@ai_machinelearning_big_data