Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training from scratch.

Caltech - Learning From Data

answers to and code for caltech's machine learning course, learning from data

Learning from data 英文字幕 Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa

A golang version of the Machine learning course from Caltech: Learning from data.

My coding solutions to Caltech CS156 course (Learning from data)

Caltech Machine Learning Class: learning from data

Learning from data by Yaser S. Abu-Mostafa - California Institute of Technology

Python notebooks on Caltech's "Learning from Data" course

⚙️ Learning from data - Caltech course

Homework and algos

Caltech: Learning From Data

Homework code from Caltech learning from data course

Assignments from CS155: Machine Learning & Data Mining at Caltech, Winter 2022

Homeworks for the course

This code was written as part of the completion of the caltech machine learning class, linked at the end. If you are a fellow ChiPy member, the code is organized by the assignment number. If you came here looking for examples of my code, Nonlinear transformation is the most mathematical, while the perceptron is the most coding intensive.

Caltech Learning From Data

Caltech MOOC Learning From Data

code for caltech telecourse on learning from data

hw assignments from caltech's learning from data course; implemented perceptron, linear regression, logistic regression models, and gradient descent from scratch

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from 15 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

Source code used for the exercises.

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Caltech learning from data - Homework1 solution of PLA ( perceptron learning algorithm)

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Yaser Mostafa Caltech Machine Learning Course Homework Assignments

Notes and sets from Learning From Data (http://work.caltech.edu/telecourse.html#lectures)

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Solutions to programming exercises of Caltech Machine Learning course "Learning from Data"

About my Caltech Machine Learning course notes and homework.