Top Twitter Topics by Data Scientists #5
Trending this week: 57 amazing GitHub ML projects; Top ML projects by Google in 2020; How gradient descent learning approximates kernel machine
Every week we analyze the most discussed topics on Twitter by Data Science & AI influencers.
The following topics, URLs, resources, and tweets have been automatically extracted using a Sentence BERT based topic modeling technique that we have enhanced to fit our use case.
Want to know more on the methodology used? Jump into this article for more details, and find the codes in this Github repository!
This Week Overview
This week, Data Science influencers have talked about:
- 2020/2021 AI/ML Achievements & Trends
- Understanding Machine Learning
- AI/ML Projects & Resources
Here are all the details for each topic:
2020/2021 AI/ML Achievements & Trends
This week, influencers shared some achievements in 2020 and also trends for 2021 in AI & Machine/Deep Learning.
Ipfconline shared an article entitled Advances in Deep Learning in 2020 that highlights some big firms and open-source achievements in Deep Learning developments that occurred in 2020.
To continue with achievements that occurred in 2020, Ronald Van Loon shared an article entitled Top Machine Learning Projects Launched By Google In 2020 (Till Date).
For 2021 projections, Terrence Mills has shared an article presenting a top-10 artificial intelligence Technology trends.
Also, AI shared an article presenting a 2021 AI & Machine Learning outlook.
Understanding Machine Learning
This week data science influencers shared insights in the machine learning domain.
In order to provide better insights on ML models to his followers, Kirk Borne shared a very interesting infographic explaining How Do Machines Learn. While Pedro Domingos retweeted a video on his paper on Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.
With an objective to simplify jazz words, Ronald van Loon shared a link to an article explaining the difference between Machine Learning and Deep Learning.
AI / ML Projects & Resources
This week, influencers shared Python ML resources including books, packages and projects.
Dr. Ganapathi Pulipaka shared an article entitled A Curated List of 57 Amazing GitHub Repositories that presents an exhaustive list of Github projects on Machine Learning, computer vision, NLP, and some related funny applications.
He also shared an article titled 9 Awesome Python packages for Machine Learning that should deserve more credit.
Also, Yves Mulkers shared a video presenting a Top-60 Python Projects With Code.
