Judging a photo’s quality using Machine Learning techniques
Understanding the quality of a photo can be a tricky task, however, AI algorithms can adequately solve and open up a lot of interesting use-cases. (more…)
Read more »MLOps – A curated list of references for Machine Learning Operations
A curated list of references for MLOps . Contribute to visenger/awesome-mlops development by creating an account on GitHub. Read more
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Machine Learning in 60 Lines of Code
Everyone that has an ear in the tech world has heard of machine learning. It’s known as a highly intellectual and mathematical field of study that is only practiced by the most scholarly programmers…
Read more »The DIY PhD: Doing Independent Research in Machine Learning
If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)
Read more »Out of Distribution Generalization in Machine Learning
Machine learning has achieved tremendous success in a variety of domains in recent years. However, a lot of these success stories have been in places where the training and the testing distributions are extremely similar to each other. In everyday situati... (more…)
Read more »Gradient Descent: The Workhorse of Machine Learning
If you’re like me, you’ve heard a lot about Gradient Descent. You’ve heard that it is a foundational algorithm for optimising functions which all self respecting Machine Learning techniques employ … (more…)
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