Aarti Bagul

Aarti Bagul is a machine learning engineer at Snorkel AI. Before Snorkel, she worked closely with Andrew Ng in various capacities: She helped build and invest in machine learning companies at the AI Fund. Previously, she was a machine learning engineer at Landing AI and was the head teacher’s assistant for Dr. Ng’s deep learning class at Stanford University. She graduated with a Master's in Computer Science from Stanford and a Bachelor's in Computer Science and Computer Engineering from NYU with the highest honors.

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Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)

Mar 25th 2024
Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)
Course Auditing
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Effort
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In the third course of the Machine Learning Specialization, you will: Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection; Build recommender systems with a collaborative filtering approach and a content-based deep learning method; Build a deep reinforcement learning [...]

Supervised Machine Learning: Regression and Classification (Coursera)

Mar 25th 2024
Supervised Machine Learning: Regression and Classification (Coursera)
Course Auditing
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Effort
Languages
In the first course of the Machine Learning Specialization, you will: build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn; build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic [...]

Advanced Learning Algorithms (Coursera)

Mar 25th 2024
Advanced Learning Algorithms (Coursera)
Course Auditing
Categories
Effort
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In the second course of the Machine Learning Specialization, you will: build and train a neural network with TensorFlow to perform multi-class classification; apply best practices for machine learning development so that your models generalize to data and tasks in the real world; build and use decision trees and [...]