Statistical Models Courses and Certifications

Combining Physical and Statistical Models in Projected Global Warming

Combining physical and statistical models to narrow uncertainty in global warming projections, focusing on Earth's energy budget and model-observation relationships for more accurate future warming estimates.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Applied Algebraic Topology Network

Estimating the Reach of a Manifold

Explore estimating manifold reach in geometric inference, covering problem formulation, statistical models, and minimax estimates for global and local cases.

• YouTube
• 1 hour
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

The Kikuchi Hierarchy and Tensor PCA

Explores advanced algorithms for tensor PCA, introducing a new hierarchy inspired by Kikuchi free energy to improve belief propagation performance and match sum-of-squares methods.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Conference GSI

The Phase Space Description of the Geodesics on the Statistical Model on a Finite Set - Trajectory

Explore geodesics on statistical models using phase space descriptions, focusing on finite sets and trajectories in information geometry.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Statistical Machine Translation - Achievements and Challenges

Explore statistical machine translation breakthroughs and ongoing challenges with expert Hermann Ney in this comprehensive 80-minute technical presentation.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Advanced Linear Models for Data Science 2: Statistical Linear Models

107 ratings at Coursera

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

• Coursera
• 5 hours 40 minutes
• On-Demand
• Paid Course

Advanced NLP with spaCy

13 ratings at DataCamp

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Handling Missing Data with Imputations in R

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

In this course, you'll make use of R to analyze financial data, estimate statistical models, and construct optimized portfolios.

• DataCamp
• On-Demand
• Free Trial Available

NPTEL-NOC IITM

Statistical Multipath Channel Models

Explore statistical multipath channel models, including channel impulse response, time dispersion parameters, power delay profile, and types of small-scale fading.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Valence Labs

The Statistical Structure of Identifiable Generative Models

Explore the statistical structure of identifiable generative models, focusing on causal representation learning, model identifiability, and unique inferences from observations under suitable assumptions.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Broadening Statistical Machine Translation with Comparable Corpora and Generalized Models

Explore advanced statistical machine translation techniques using comparable corpora and generalized methods for improved cross-lingual processing.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

On the Parameter Space of Lexicalized Statistical Parsing Models

Explore the parameter space of lexicalized statistical parsing models with expert insights from Johns Hopkins University's language processing research center.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Computationally Efficient Reductions between Some Statistical Models

Explore computationally efficient reductions between statistical models with insights from advanced data science theory and optimization methods.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video