Open Data Science Courses

State of the Art Natural Language Understanding at Scale - David Talby

Explore state-of-the-art NLP techniques using Apache Spark, covering core algorithms, distributed pipelines, and performance optimizations for large-scale language understanding applications.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Effective Transfer Learning for NLP - Madison May - ODSC East 2018

Explore effective transfer learning techniques for NLP, including parameter-efficient methods using sequence representations. Learn practical improvements for real-world tasks and discover the Enso library for benchmarking.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018

Learn to build a semantic image search model from scratch, covering representation techniques for image and text data, and efficient similarity search methods for datasets of any size.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

A Breakthrough for Natural Language - Ben Vigoda - ODSC East 2018

Explore breakthrough natural language processing techniques for analyzing vast text data, enabling personalized responses and advanced data science applications on unstructured text.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Challenges and Opportunities in Applying Machine Learning - Alex Jaimes - ODSC East 2018

Explore strategies for effective machine learning implementation, covering data quality, metrics selection, error handling, and process optimization to maximize real-world impact and avoid common pitfalls.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Unsupervised Feature Learning with Matrix Decomposition - Aedin Culhane, PhD | ODSC East 2018

Explore unsupervised learning techniques for high-dimensional data analysis, focusing on matrix factorization methods and their applications in oncology and precision medicine.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

How to Use Satellite Imagery to Be a Machine - Sean Patrick Gorman, PhD | ODSC West 2018

Explore satellite imagery analysis using Jupyter notebooks, learn to extract valuable information, and develop ML models for processing Earth observation data.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Deploying Your AI-ML Investments - Jon Peck - ODSC East 2018

Insights on deploying AI/ML models to production, covering tech stacks, organizational practices, and strategies for efficient scaling and performance optimization.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

The Adoption of AI in Business - Opportunities and Challenges - Sam Ransbotham - ODSC East 2018

Explore AI adoption in business: organizational readiness, challenges, and impacts on roles. Gain insights from MIT research on integrating AI into corporate strategies and processes.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Boston Data Mining - A High-Performance Implementation of Bayesian Clustering

Explore Bayesian nonparametric methods and probabilistic machine learning, focusing on the Chinese Restaurant Process for clustering. Learn optimization strategies for applying these models to big data.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Prepping Data for Analysis in R

Comprehensive workshop on data preparation for analysis in R, covering common issues, automated solutions, and practical demonstrations using open-source tools and packages.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Data Unification in Biopharma

Explore data unification in biopharma with Andy Palmer, discussing Tamr's capabilities, CDISC conversion, research data warehouses, and clinical study analytics for improved enterprise data management.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

ODSC East 2016 - Building Neural Networks at Twitter with Autograd

Explore building flexible neural networks using autograd, a tool that simplifies gradient computation and enables easy experimentation with new model architectures at Twitter.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

ODSC London Meet-up - Deep Learning Frameworks

Explore deep learning frameworks, algorithms, and state-of-the-art developments with industry expert Peter Morgan in this comprehensive overview of neural network technologies.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

PySpark Best Practices

Learn best practices for PySpark, including dependency management, code structuring, testing, and performance optimization. Gain insights on writing efficient and scalable Python applications using Spark's distributed computing model.

• YouTube
• 46 minutes
• Self-Paced
• Free Video