Useful links¶

Overall that you might use¶

• Python Documentation
• Python Tutor - see how Python code is executed
• Pip - package installer for Python
• Google Colab
• Kaggle

• Hugging Faces

• NumPy Documentation

• Pandas Documentation
• Scikit-learn Documentation

• Matplotlib Documentation

• TensorFlow Documentation

• TensorFlow Datasets
• TensorFlow Hub & TensorFlow Hub tutorials
• TensorFlow Models
• TensorFlow Guide & TensorFlow Tutorials
• Embedding Projector - for NLP, you can see learned embeddings in 3D
• TensorBoard - track your metrics

Useful for creating demos:¶

• Streamlit & Streamlit Cloud
• Gradio
• GitHub Pages
• Hugging Face Spaces

Scientific papers:¶

• Papers With Code
• Arxiv

Resources to learn:¶

• MIT 6.S191 Introduction to Deep Learning
• TensorFlow resources
• ZTM TensorFlow for Deep Learning
• Machine Learning for Beginners
• IBM Learn Hub
• Free Code Camp Machine Learning with Python Course
• Kaggle Courses

Books:¶

• Forecasting: Principles and Practice
• "Hands-On Machine Learning, with Scikit-Learn, Keras & TensorFlow 2nd edition" by Aurelien Geron, O'relly
• "Advanced Deep Learning with TensorFlow 2 and Keras 2nd edition" by Rowel Atienza, Packt
• "Artificial Intelligence: A Modern Approach 4th edition" by Stuart Russel and Peter Norvig, Pearson

Open data for inspiration:¶

• The official portal for European data
• Latvijas Atvērto Datu Portāls
• UNICEF Data
• NASA
• Earth Engine Data Catalog
• Google Dataset Search
• Google Public Data Explorer
• Registry of Open Data on AWS
• U.S. Goverment's open data
• World Bank Open Data
• The Global Health Observatory
• FiveThirtyEight
• DBpedia
• Yelp Open Dataset
• UC Irvine Machine Learning Repository

Tools for data and datasets:¶

• Open Data Kit
• Know Your Data