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Newsletter October 2021
Issue 6

Updates From bitgrit

Competitions

If you didn’t manage to win our Viral Tweets competition, don’t worry because we have one competition coming up very soon!

Follow us on Twitter and LinkedIn for updates.

Monthly Events

We have a few great events lined up for this next month such so please make sure to join the bitgrit Meetup page to be notified as and when we make the announcement.

Our past workshops

Discussion about how human emotions are interpreted by AI and different AI-ML methods used to build empathetic machines and the latest methods used in industry.
Watch it here.

Medium Articles

Here are our latest articles on our Medium publication.

Visualize your LinkedIn Network with Python

Wondering what your LinkedIn connections looks like? Use graphs to find out.

Blockchain basics, part three. Layer 2 solutions.

The concepts behind Optimism, Bitcoin Lightning, and Polygon(Matic).

5 Roles in Data in 2021

Data Scientists, Analysts, Data Engineers, and Machine Learning Engineers. What do they do?

Twitter threads

Here are some of our latest twitter threads you might find interesting! Click on them to open each thread.

What's New This Month

Data Science and AI News

DeepMind’s AI predicts almost exactly when and where it’s going to rain
The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.

Facebook wants machines to see the world through our eyes
A massive new video dataset will help train smart assistants and robots—but there are obvious concerns about how the tech will be used.

One Giant Leap for MIT’s Robotic Mini Cheetah
MIT researchers have developed a system that improves the speed and agility of legged robots as they jump across gaps in the terrain.

Predicting Traffic Crashes Before They Happen With Artificial Intelligence
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.

Must Read Articles

Top Places to Work for Data Scientists

Find out the best U.S. organizations that will help you develop your career in data science.

A Gentle Introduction to Graph Neural Networks

Neural networks have been adapted to leverage the structure and properties of graphs. This article explores the components needed for building a graph neural network - and motivates the design choices behind them.

In defense of simple charts

Simple visualization types don’t need to be boring. Here’s why.

Choosing the right KPIs to evaluate your models

Read the lessons learned by Amior Dolev, the Director of the Data Science Chargeback Guarantee group at Riskified, while establishing their model KPIs and control groups.

Learning Resources

Tutorials and Projects

A couple tutorials and fun projects you can work on to boost your resume!

Neural Networks from Scratch - An interactive playground that shows you how neural networks work from the ground up.
Interpreting A/B test results: false positives and statistical significance - A quick guide to interpreting AB testing results by Netflix Technology Blog
Python Automation Projects With Machine Learning by Python Engineer

Courses

Here’s some courses that will boost your skills in ML engineering, GCP, and deep learning.

Machine Learning Zoomcamp – Learn machine learning engineering in 4 months
Google Cloud courses – Learn Google Cloud for free on Coursera
Yann LeCun’s Deep Learning Course – Learn the latest in Deep Learning from Yann LeCun. The course includes a complete set of lectures, slides, notes, and Jupyter notebooks all FOC.

Tools and Library

Here are cool tools and libraries for your data science and ML projects.

JupyterLab Desktop – JupyterLab now has a desktop app!
Merlion – A Machine Learning Framework for Time Series Intelligence

Monthly Book Recommendations

Here are two books we think you will like.

Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
A must-read if you’re interested in what AI could become in the future. The book argues that if machine brains surpass human brains in general intelligence, then this new superintelligence could replace humans as the dominant lifeform on Earth
Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines

Before you go…

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