Building World-Class NLP Models with Transformers and Hugging Face
Learn to build advanced NLP models using transformers and Hugging Face. Kaggle Grandmasters share insights on question answering, sentiment extraction, and multilingual classification in this comprehensive tutorial.
Predicting COVID-19 mRNA Vaccine Stability with AI - Grandmaster Series
Explore AI-driven prediction of COVID-19 mRNA vaccine stability with NVIDIA's Kaggle Grandmasters. Learn top-performing machine learning models for RNA degradation forecasting.
Opto 22 and the Internet of Things
Explore Opto 22's role in the Industrial Internet of Things, covering IoT technology, RESTful APIs, and real-world applications for bridging the gap between physical and digital worlds.
Michael I. Jordan on the Future of AI and Machine Learning - ODSC West 2019
Renowned AI expert Michael Jordan discusses the future of machine learning, exploring potential billion-dollar industries and addressing key challenges in the field of data science and AI.
Data Science for Risk Mitigation in a Global Economy - ODSC East 2019
Data science strategies for global risk mitigation: standardized frameworks, scaling solutions, market size management, model monitoring, cloud variability, agility, and cross-geographic data governance.
Building an Automation First Data Science Team - Dr. Greg Michaelson
Explore strategies for building an effective data science team that leverages automation, balancing skilled professionals and citizen data scientists for successful AI implementation.
Data Science for Health and Wellness - Dr. Robert Haslinger
Explore data science's role in health and wellness, covering physiological data analysis, user experience, AI applications, and ethical considerations in leveraging biometric information.
A Tool for Data Scientists, Decision Makers, and Journalists to Assess Fairness in ML Models
Explore a tool for assessing fairness in ML models, focusing on recourse in classification decisions. Learn to audit models and empower individuals affected by automated decisions.
Data Efficiency Through Transfer Learning - Eddie Du
Explore data-efficient transfer learning techniques to overcome limited training data, including instance-based approaches and differentially private aggregation for enhanced model performance and privacy preservation.
Data Science + Design Thinking - Perfect Blend to Achieve the Best User Experience - Michael Radwin
Blend data science with design thinking to create AI/ML products that prioritize customer needs, using empathy, experimentation, and rapid prototyping for optimal user experience.
Mission Analytics - Common Pitfalls and How to Avoid Them - Delin Shen
Explore common pitfalls in mission analytics and learn strategies to avoid them, focusing on mindset shifts, talent mix, project phasing, and scaling challenges in data-driven organizations.
Kubeflow and Beyond - Automation of Model Training, Deployment and Testing
Automate ML workflow: data gathering, model training, deployment, testing, and production inferencing with a single command. Streamline the process for efficient continuous delivery.
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.
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.
Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event
Explore Scikit-Learn's evolution, technical aspects, and future with core contributor Thomas Fan. Gain insights into open-source collaboration, industry applications, and machine learning advancements.
Actionable Ethics for Data Scientists - Emily Miller
Explore ethical considerations in data science, covering data collection, storage, analysis, and modeling. Learn practical strategies to address ethical challenges in your work.
Bias in the Vision and Language of Artificial Intelligence
Explore bias in AI vision and language with Margaret Mitchell, focusing on ethical concerns, societal impacts, and strategies for developing more inclusive and fair artificial intelligence systems.
Creating a Systems Change Approach for Data Science AI Solutions
Explore a systems change approach for data science and AI solutions with Jake Porway, focusing on the Data for Good movement and leveraging technology for social impact.
Making Robust Business Decisions with Sparse Data - Sarah Jarvis, PhD | ODSC Europe 2019
Explore data-efficient solutions for supply chain management, focusing on forecasting with limited data and making robust decisions in complex, dynamic systems.
Using Your Powers for Good - Data Science in the Social Sector
Explore data science applications in the social sector, including disaster relief and education. Learn techniques like logistic regression and ensemble building for impactful machine learning projects.
Usama Fayyad at ODSC Boston 2015 - From Big Data to Data Science
Explore the evolution from Big Data to Data Science with Usama Fayyad, focusing on predictive analytics in a changing data landscape and its impact on business growth and competitive advantage.