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reddyprasade/README.md

Reddy Prasad

Reddy Prasad works as Machine Learning Research @sumerusolutions Private Limited Team adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments and hosts Learn With Reddyprasade. He spends a lot of time telling people that the formula for success and happiness is to lift each other up and share what we learn. He is trying his very best to follow his own advice. He lives in Bangalore, India.

Reddy Prasade is Machine Learning & Researcher at ClientoClarify.AI; Founder of LearnbyDoing, Skill Developement Center at ClientoClarify.AI ; and an leading instructor at Itrain Technologies & ClientoClarify.AI Skill Developement Center.

Reddy Prasade also works on machine learning with an emphasis on deep learning. He founded and led the “ClientoClarify.AI Brain” project which developed massive-scale deep learning algorithms. This resulted in the famous “ClientoClarify.AI cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. More recently, he continues to work on deep learning and its applications to computer vision and speech, including such applications as autonomous driving.


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  1. Machine Learning Concepts with Concepts

    Jupyter Notebook 132 51

  2. We are going to Learn Python, it is a powerful multi-purpose programming language created by Guido van Rossum. It has simple easy-to-use syntax, making it the perfect language for someone trying to…

    Jupyter Notebook 11 28

  3. In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dime…

    Jupyter Notebook 38 20

  4. Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervis…

    Jupyter Notebook 12 8

  5. The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill…

    Jupyter Notebook 12 3

  6. We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please vis…

    Python 20 15

367 contributions in the last year

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Contribution activity

April 2022

6 contributions in private repositories Apr 9 – Apr 13

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