Probabilistic Models Courses and Certifications

Paul G. Allen School

Probabilistic Models for Learning a Semantic Parser Lexicon

Probabilistic models for learning semantic parser lexicons from question/answer pairs, improving accuracy and efficiency without extensive human input or dataset-specific engineering.

• YouTube
• 42 minutes
• On-Demand
• Free Online Course

International Mathematical Union

Spin Systems with Hyperbolic Symmetry

Explore spin systems with hyperbolic symmetry, their origins, applications in probabilistic models, recent findings, and open questions in this advanced mathematical discussion.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Learning Real-World Probabilistic Models with Approximate Message Passing

Explore probabilistic modeling for big data using factor graphs and message passing. Learn how Amazon tackles real-world problems with advanced statistical techniques in the era of structured data.

• YouTube
• 54 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Stories from CoCoLab: Probabilistic Programs, Cognitive Modeling, & Smart Web Pages

Explore probabilistic programs, cognitive modeling, and smart web pages through CoCoLab's research. Gain insights into thinking processes, language understanding, and innovative experiment designs.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

Microcredential

Statistics and Data Science

Comprehensive program covering probability, statistics, data analysis, and machine learning, providing hands-on training for aspiring data scientists through rigorous MIT-quality coursework.

• edX
• 56 weeks, 10-14 hours a week
• On-Demand
• $1,500.00
• 2 courses

University of Pennsylvania;  Wharton

Fundamentals of Quantitative Modeling

5 reviews

Aprenda a criar modelos quantitativos para análise de dados empresariais, incluindo modelos lineares, probabilísticos e de regressão. Domine técnicas essenciais para previsão, otimização e tomada de decisões baseadas em dados.

• Coursera
• 7 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

TensorFlow 2 for Deep Learning

Develop practical skills in TensorFlow 2 for deep learning, covering model building, training, evaluation, customization, and probabilistic approaches using TensorFlow Probability.

• Coursera
• 17 weeks, 7 hours a week
• On-Demand
• Paid Course
• 3 courses

Strategic Decisions for Project Leaders: Exploiting Risk and Opportunity

Project management executives and project owners can exploit risk to their advantage and find opportunities. Learn how to leverage the decision-making tools using Bayesian thinking, utility theory, and behavioral economics.

• edX
• 5 weeks, 1-3 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Natural Language Processing

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 17 weeks, 8 hours a week
• On-Demand
• Paid Course
• 4 courses

Natural Language Processing with Probabilistic Models

1692 ratings at Coursera

This is the Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 6 hours 25 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning for Personalized Healthcare - Opportunities, Challenges and Insights

Explore machine learning's impact on personalized healthcare, from disease subtyping to tailored interventions, with insights on mental health, respiratory diseases, and critical care settings.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Online Course

Mining Data from Variable Dependencies

15 ratings at Pluralsight

This course will teach you several models like Bayesian Networks, LBP, Variable Elimination, etc. with the help of which you can derive complex relationships across multiple input variables or features.

• Pluralsight
• 1 hour 59 minutes
• On-Demand
• Free Trial Available

Yannic Kilcher

Diffusion Models Beat GANs on Image Synthesis - Machine Learning Research Paper Explained

Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

Paul G. Allen School

Towards Generalization of Precise Robot Skills - Accurate Pick-and-Place of Novel Objects

Explore precise robotic generalization for pick-and-place tasks using simulation-learned models. Discover how visuo-tactile sensing enables accurate object manipulation and placement with sub-millimeter precision for novel items.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course