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Showing posts from October, 2019

Python or Matlab: Winning the ML/AI Challenges

Diversified applications of ML/AI are demanding ease of programming platform, access & rapid development. Python (Open Source)stands first in the  row to support with its vast & extensive libraries such as sklearn, matplotlib, tensorflow, keras, pytorch etc., making Python the most widely used prog language in ML/AI, Data Science & Data Analytics area. Matlab being the proprietary platform, places constraint due to its availability, integration issues & package development. Matlab is preferred  in academic  fraternity  for research  with traditional misperception about its better performance but Python can do much better than Matlab in ML/AI.  @SKPandey

Machine Learning and AI : Web Repositories of Projects and Contributions

Open source platforms and resources  are key to learning ML & AI. Machine Learning and AI projects in Python are  available on Github. Understanding  ML & AI algorithm implementations is must for professionals .