Search result for Probabilistic graphical models principles and techniques Online Courses & Certifications
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Computational Probability and Inference
by George H. Chen , Polina Golland , Gregory W. Wornell , Lizhong Zheng- 0.0
12 Weeks
Learn fundamentals of probabilistic analysis and inference. In this data analysis and computer programming course, you will learn the principles of probability and inference. You will learn about different data structures for storing probability distributions, such as probabilistic graphical models, and build efficient algorithms for reasoning with these data structures. Graphical models as a data structure for representing probability distributions...
$49
Natural Language Processing
by Anna Potapenko , Alexey Zobnin , Anna Kozlova , Sergey Yudin , Зимовнов Андрей Вадимович- 4.4
Approx. 32 hours to complete
Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. Some materials are based on one-month-old papers and introduce you to the very state-of-the-art in NLP research. MEMMs, CRFs and other sequential models for Named Entity Recognition Sequence tagging with probabilistic models...
Portfolio Selection and Risk Management
by Arzu Ozoguz- 4.6
Approx. 23 hours to complete
When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. Portfolio choice problem with mean-variance preferences: A graphical illustration with equity and bond data...
Introduction to Predictive Modeling
by De Liu- 5
Approx. 12 hours to complete
This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. , exponential smoothing and Holt-Winter’s method) in Excel, evaluate the goodness of fit, and use fitted models to make forecasts....
Lean Six Sigma Black Belt Course
by Nilakantasrinivasan Janakiraman- 4.5
15.5 hours on-demand video
Balanced, unbalanced and Mixed factors models Linear Corrrelation - Theory and computation of r value Non-linear Correlation - Spearson's Rho application and relevance Confidence and Prediction Bands, Residual Analysis, Building Prediction Models Design principles (power and sample size, balance, repetition, replication, order, efficiency, randomization, blocking, interaction, confounding, resolution, etc....
$14.99