Machine Learning University: Accelerated Natural Language Processing Class

Last update: Jan 01, 2023

Overview

Machine Learning University: Accelerated Natural Language Processing Class

This repository contains slides, notebooks and datasets for the Machine Learning University (MLU) Accelerated Natural Language Processing class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Natural Language Processing (NLP), learn widely used techniques and apply them on real-world problems.

YouTube

Watch all NLP class video recordings in this YouTube playlist from our YouTube channel.

Course Overview

There are three lectures and one final project in this class. Course overview is below.

Lecture 1	Lecture 2	Lecture 3
Introduction to ML	Tree-based Models	Neural Networks
Intro to NLP and Text Processing	Regression Models	Word Embeddings
Bag of Words (BoW)	Optimization-Regularization	Recurrent Neural Networks (RNN)
K Nearest Neighbors (KNN)	Hyperparameter Tuning	Transformers
	AWS AI/ML Services

Final Project: Practice working with a "real-world" NLP dataset for the final project. Final project dataset is in the data/final_project folder. For more details on the final project, check out this notebook.

Contribute

If you would like to contribute to the project, see CONTRIBUTING for more information.

License

The license for this repository depends on the section. Data set for the course is being provided to you by permission of Amazon and is subject to the terms of the Amazon License and Access. You are expressly prohibited from copying, modifying, selling, exporting or using this data set in any way other than for the purpose of completing this course. The lecture slides are released under the CC-BY-SA-4.0 License. The code examples are released under the MIT-0 License. See each section's LICENSE file for details.

Machine Learning University: Accelerated Natural Language Processing Class

Related tags

Overview

Machine Learning University: Accelerated Natural Language Processing Class

YouTube

Course Overview

Contribute

License

Owner

AWS Samples

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Model factory is a ML training platform to help engineers to build ML models at scale

Banpei is a Python package of the anomaly detection.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

A data preprocessing package for time series data. Design for machine learning and deep learning.

Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along with material in the form of Jupyter Notebooks.

The Emergence of Individuality

nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices

PyPOTS - A Python Toolbox for Data Mining on Partially-Observed Time Series

A Python implementation of the Robotics Toolbox for MATLAB

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

fMRIprep Pipeline To Machine Learning

Evidently helps analyze machine learning models during validation or production monitoring

Machine Learning for Time-Series with Python.Published by Packt

李航《统计学习方法》复现

Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn.

Production Grade Machine Learning Service

A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning

Greykite: A flexible, intuitive and fast forecasting library

Machine Learning University: Accelerated Natural Language Processing Class

Related tags

Overview

Machine Learning University: Accelerated Natural Language Processing Class

YouTube

Course Overview

Contribute

License

Owner

AWS Samples

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Model factory is a ML training platform to help engineers to build ML models at scale

Banpei is a Python package of the anomaly detection.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

A data preprocessing package for time series data. Design for machine learning and deep learning.

Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along with material in the form of Jupyter Notebooks.

The Emergence of Individuality

nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices

PyPOTS - A Python Toolbox for Data Mining on Partially-Observed Time Series

A Python implementation of the Robotics Toolbox for MATLAB

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

fMRIprep Pipeline To Machine Learning

Evidently helps analyze machine learning models during validation or production monitoring

Machine Learning for Time-Series with Python.Published by Packt

李航《统计学习方法》复现

Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn.

Production Grade Machine Learning Service

A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning

﻿Greykite: A flexible, intuitive and fast forecasting library

Greykite: A flexible, intuitive and fast forecasting library