How I Build Machine Learning Apps in Hours… and More!
How I Build Machine Learning Apps in Hours… and More!

What is new in the AI world, the release of our book, and our monthly editorial picks

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Happy Monday, Towards AI family! To start your week with a smile, we recommend you to check out “Superheroes of Deep Learning Vol 1: Machine Learning Yearning” by Falaah Arif Khan and Professor Zachary Lipton, an exciting, hilarious, and educational comic for everyone who is or has worked with data in the past.

If you are into research, NeurIPS recently posted its findings during the 2020 paper reviewing process, with some insights on the submission and historical data on primary subject areas, acceptance rate, ratings, and so on for the past two years.

Next, if you have a Ph.D. and you are in the job market for a faculty position, we recommend you to check out the faculty openings in the Machine Learning Department at Carnegie Mellon. They currently have multiple tenure track and teaching track opportunities for you researchers out there!

If you are into tinkering with data and you are interested in forecasting epidemics (specifically COVID-19 in this case). We recommend you to check out this post by Kathryn Mazaitis and Alex Reinhart on how to access COVIDcast’s Epidata API, which provides freely available data to CMU Delphi’s COVID-19 surveillance streams.

📊 For a limited time, we are taking discounted pre-orders on our book “Descriptive Statistics for Data-driven Decision Making with Python” — a guide to straightforward, data-driven decision making with the help of descriptive statistics. Ordering our book also gives you access to any future updates made to it — support Towards AI’s efforts and help us improve to provide you with better content. 📊
['Towards Ai Team']
['Technology', 'Innovation', 'Artificial Intelligence', 'Education', 'Science']