vrdmr / CS273a-Introduction-to-Machine-LearningLinks
Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, o…
☆41Updated 10 years ago
Alternatives and similar repositories for CS273a-Introduction-to-Machine-Learning
Users that are interested in CS273a-Introduction-to-Machine-Learning are comparing it to the libraries listed below
Sorting:
- machine learning☆39Updated 7 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems☆44Updated 2 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆41Updated 7 years ago
- An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.you…☆148Updated last week
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆137Updated 5 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆81Updated 8 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- Deep Learning and Rare Event Prediction☆47Updated 4 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆52Updated 4 years ago
- SOM clustering on IRIS dataset☆16Updated 7 years ago
- A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/☆73Updated 8 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆37Updated 4 years ago
- Heuristic Optimization for Python☆73Updated 5 years ago
- Hands On Transfer Learning with Python, published by Packt☆85Updated last week
- A collection of black-box optimizers with a focus on evolutionary algorithms☆28Updated 5 years ago
- Hands-On Ensemble Learning with Python, published by packt publishing☆54Updated 2 years ago
- Statistics and Machine Learning in Python☆71Updated 4 years ago
- This repository contains all my small projects related with Data Science and Machine Learning.☆47Updated 2 years ago
- Workshop on using transfer learning for image classification tasks. Presented at DO!Hack 2017☆16Updated 8 years ago
- LSTM for time series forecasting☆29Updated 8 years ago
- Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorfl…☆29Updated 6 years ago
- ☆18Updated 6 years ago
- ☆51Updated 10 years ago
- tf.Transform example for building digital twin with Apache Beam and Tensorflow☆49Updated 7 years ago
- Source code for 'MATLAB Deep Learning' by Phil Kim☆100Updated last year
- Feature Selection in Machine Learning using Python All Code☆35Updated 6 years ago
- Bosch Production Line Performance Kaggle Competition. Nr 8 on Kaggle Leaderboard.☆17Updated 9 years ago