'Mondays are for warming-up', and one way of doing that is by going through this curated newsletter containing recent developments, light articles, and tweets from the world of data.
- DOORDASH: Retraining models due to COVID-19
Here’s how DoorDash updated its predictive models in the wake of COVID-19. Earlier, DoorDash’s ML models were used to predict the demand of orders in a particular area which facilitated the number of drivers to be present at that moment in that area. The pandemic created a significant difference in the patterns of food orders making them more volatile.
- YouTube’s recommendation system - A deeper look
“Recommendations drive a significant amount of the overall viewership on YouTube, even more than channel subscriptions or search.” YouTube’s recommendation system was launched in 2008, and since then has traveled up the timeline to be more personalized, inclusive, and responsible.
- Germany’s data strategy for growth and innovation
A comprehensive approach towards data strategy is critical to answering questions in the area of policy design, budget optimization, creation of more inclusive societies, or winning against a pandemic. The Federal Government of Germany has developed its Data Strategy with the aim to advance sustainable and economic growth.
- Microsoft: Bringing Mental Health and AI together
“In some countries, there may only be one mental health professional per 100,000 people. When paired with the reality that 1 in 5 people have a mental health condition.”Microsoft’s AI for Accessibility program extends collaborative support to tackle the gap between the help and need, by incorporating AI, data insights, and innovation into mental health.
- Django 4.0 released | What’s new?
Django ‘The web framework for perfectionists with deadlines’ releases its newest version, version 4.0 on December 7, 2021. With the release of Django 4.0, Django 3.2 has reached the end of mainstream support and version 3.1 has reached the end of extended support. Read the release notes, to find out the Python compatibility and what’s new in it.
- LogicAI and Kaggle present Kaggle days
Kaggle Days is an online/offline event that allows you to participate in various presentations, workshops, brainstorming sessions, and competitions that allow you to change the world with data science tools, adopt the mindset of Kaggle grandmasters, and much more. You can be a part of the potential biggest data science community in the world.
- Python 3.10.1 is available
Python 3.10 was released on 4th October 2021 with the objective to make programming more approachable and efficient for both new and old users of the language. Python 3.10.1 is the first maintenance release of Python 3.10 with more than 330 bug fixes and general improvements.
- By @omarsar0
Every week there are 100s of books & course recommendations for programming and machine learning. They are completely irrelevant if you aren't prepared to push yourself to code. Start with one, and make sure you build along the way. With every new project, push a bit further.— elvis (@omarsar0) December 10, 2021
- By @_brohrer_
ML strategy tip— Brandon Rohrer (@_brohrer_) August 12, 2021
When you have a problem, build two solutions - a deep Bayesian transformer running on multicloud Kubernetes and a SQL query built on a stack of egregiously oversimplifying assumptions. Put one on your resume, the other in production. Everyone goes home happy.
Tag your #DataScience friends!— The Art of Data Science (@DataScienceOnly) September 21, 2020
.#MachineLearning #Analytics #ML #AI #Python #coding #statisticsmeme #followme #artificialintelligence #datascientist #career #follow #mondayblues #machinelearningmemes #jokes #datasciencememes #datamemes #fun #mlmeme #codingmemes #dailymemes pic.twitter.com/UeQpIZRIxD
I hope the Data Newsletter-Monday edition brought some informative content to your attention.
For more such content, stay tuned for the Friday issue!