albahnsen / AppliedDeepLearningClass
Class Applied Deep Learning - Summer 2018
☆33Updated 6 years ago
Alternatives and similar repositories for AppliedDeepLearningClass:
Users that are interested in AppliedDeepLearningClass are comparing it to the libraries listed below
- ☆91Updated 5 years ago
- Material for my lectures at the ESAC statistics conference, Oct 27-31 2014☆66Updated 10 years ago
- ☆29Updated 5 years ago
- Machine Learning + LSTM Implementation to capture sentiments surrouding the Colombian elections in 2018. Sentiment analysis entirely on S…☆18Updated 6 years ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 6 years ago
- ☆31Updated 5 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018☆29Updated 6 years ago
- Lecture content for UW Software Engineering for Data Scientists☆101Updated last year
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- Two hour interactive machine learning workshop☆22Updated 5 years ago
- DeepLearningfromScratch2018☆20Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- 📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆47Updated 5 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 4 years ago
- ☆48Updated 6 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 6 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 6 months ago
- Notebooks for tutorial on Numpy.☆60Updated 5 years ago
- ☆18Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated 5 months ago
- A step-by-step guide to get started with Applied Machine Learning☆138Updated 6 years ago
- ☆21Updated 5 years ago
- ☆10Updated 7 years ago
- Water Hackweek Machine Learning workshop☆15Updated 4 years ago
- ☆18Updated 8 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…☆24Updated 6 years ago
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- Tutorial on Using Pandas☆83Updated 7 years ago