1) Complete end-to-end data science project experience https://
medium.com/@avikumart_/i-
just-completed-my-first-ever-real-world-data-science-project-heres-what-i-learned-and-insights-6605f0a800b9?source=user_profile———1—————————-
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DATA
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Real-World Data Science Project: Lessons and Key Insights
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Self-Supervised LLM Evaluation Framework for Deployment Monitoring
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8/ Evaluations with No Labels – a framework for self-supervised evaluation of LLMs by analyzing their sensitivity or invariance to transformations on input text; can be used to monitor LLM behavior on datasets streamed during live model deployment.
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Databricks Materialized Views Enable Infrastructure-Free Data Pipelines
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Materialized views and streaming tables in #DatabricksSQL are now publicly available on AWS & Azure! Together, these capabilities enable infrastructure-free data pipelines that are simple to set up and deliver fresh data to the business. Learn more: https://
dbricks.co/3r6Dqfo -
Daily AI and Machine Learning Content: Python, NLP, Computer Vision
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That's a wrap! If you interested in: – Python – Data Science – Machine Learning – Maths for ML – MLOps – NLP – Computer Vision – LLMs I'm sharing daily content over here, follow me → @akshay_pachaarif you haven't already!! Cheers!!
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Storytelling in Data Science: Communicating Insights Effectively
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Storytelling Data science isn't just about crunching numbers but also weaving stories from data to drive insights. Storytelling is the key to effectively communicating findings and engaging stakeholders. Strong interpersonal skills will take you places!
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Master Python Programming with CS50 Harvard Course
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Become a strong programmer Programming helps you to bridge the gap between theory and building stuff that's useful. Python is the language data science community speaks! And CS50p is arguably the best place to learn Python. Check this out http://
cs50.harvard.edu/python/2022/ -
Master Mathematics Fundamentals for Machine Learning Success
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Learn the fundamentals! It's important to have a strong foundation in mathematics, it helps you to stand out. Here's a great place to start https://
coursera.org/specialization
s/mathematics-machine-learning
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7 Essential Data Science Career Tips for Beginners
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I started my career in Data Science back in 2016 Here are 7 tips for those starting out today! A Thread
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Twitter Monetizes Data Access Through API Service Licensing Model
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Twitter wants to be paid for the process of storing the data and making it available conveniently via API. They're not selling Copyright, it's a service license.
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ML Data Use and User Privacy Consent on Social Platforms
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By now (already last decade) ML use is not future and anyone still on the platform is explicitly consenting to continued use of the data. Copyright is not a good ground for primarily mediocre thoughtless Tweets, but privacy may be…