Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.
The future of AI is in creating systems that can learn directly from whatever information they’re given — whether it’s text, images, or another type of...
Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing…
Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforc…
The list of the best machine learning & deep learning books for 2020.
Neural network models suffer from the phenomenon of catastrophic forgetting: a model can drastically lose its generalization ability on a task after being trained on a new task. This usually means a…
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By KDnuggets -
2020-12-11
Top 13 Python Deep Learning Libraries
By facebook -
2021-03-05
SEER: The start of a more powerful, flexible, and accessible era for computer vision
Most Useful C/C++ ML Libraries Every Data Scientist Should Know
Machine Learning with Applications in One Picture
By FloydHub Blog -
2020-03-05
Best Machine Learning Books (Updated for 2020)
By Medium -
2020-12-16
Forgetting in Deep Learning. Team member: Qiang Fei, Yingsi Jian