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Arthur Samuel coined the term “Machine Learning” in 1959 and defined it as a “Field of study that gives computers the capability to learn without being explicitly programmed”.

Bharat Dwarkani shared on Sep 21, 2019
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geeksforgeeks.org
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According to recent research of PWC, 72% of business leaders said they believe AI is going to be fundamental in the future and they termed it a “business advantage”.

Bharat Dwarkani shared on Sep 21, 2019
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towardsdatascience.com
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Natural Language Processing (NLP) is an increasingly important sub-domain of Machine Learning that deals with deriving general understanding through developing various language models from various large corpora of text. In this article, we go over 5 common types of NLP problems and their relevant models.

Bharat Dwarkani shared on Sep 21, 2019
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towardsdatascience.com
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Getting Started With fast.ai

Bharat Dwarkani shared on Sep 15, 2019
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towardsdatascience.com
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Find face edges in 20 lines of code from scratch algorithm

Bharat Dwarkani shared on Sep 15, 2019
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towardsdatascience.com
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A compendium of resources for crafting a curriculum on artificial intelligence, machine learning, and deep learning.

Bharat Dwarkani shared on Sep 13, 2019
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medium.com
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Empowering you to use machine learning to get valuable insights from data.

Bharat Dwarkani shared on Sep 04, 2019
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github.com
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This list of top machine learning tools is just the start and will continue to be updated.

Bharat Dwarkani shared on Sep 03, 2019
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towardsdatascience.com
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Explore the Machine Learning Tutorial Series and learn ML from Scratch

Bharat Dwarkani shared on Sep 02, 2019
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data-flair.training
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In this post, we will discuss the most popular and important ML/DL libraries in the world right now.

Bharat Dwarkani shared on Sep 02, 2019
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blog.bitsrc.io
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