Search result for Approximate inference Online Courses & Certifications
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Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
Approx. 38 hours to complete
The course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied. Inference Overview Overview: MAP Inference Inference in Temporal Models Inference in Temporal Models Inference in Temporal Models Inference Summary Inference Final Exam...
Business Statistics with Excel
by Diego Fernandez- 3.5
4.5 hours on-demand video
Approximate population mean and population proportion point estimations. Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values. Estimate paired populations means two tails statistical inference test probability value. Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values....
$12.99
Business Statistics with R
by Diego Fernandez- 3.7
4 hours on-demand video
Approximate population mean, population proportion and bootstrap population mean point estimations. Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values. Estimate paired populations means assuming equal population variances two tail statistical inference test probability value. Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values....
$9.99
Advanced Portfolio Analysis with R
by Diego Fernandez- 3.8
4 hours on-demand video
Approximate global portfolios returns from periodically rebalanced optimized asset allocations within testing range and compare them with equal weighted benchmark portfolio. Approximate two population mean statistical inference two tails tests multiple probability values. Approximate two population mean statistical inference two tails tests multiple probability values....
$12.99
Advanced Portfolio Analysis with Python
by Diego Fernandez- 3.8
5 hours on-demand video
Approximate global portfolios returns from periodically rebalanced optimized asset allocations within testing range and compare them with equal weighted benchmark portfolio. Approximate two population mean statistical inference two tails tests multiple probability values. Approximate two population mean statistical inference two tails tests multiple probability values....
$12.99
Advanced Trading Analysis with Python
by Diego Fernandez- 3.6
6.5 hours on-demand video
Approximate population mean statistical inference two tails tests multiple probability values. Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value. Approximate population mean statistical inference two tails tests multiple probability values. Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value....
$14.99
Advanced Trading Analysis with R
by Diego Fernandez- 2.6
5.5 hours on-demand video
Approximate population mean statistical inference two tails tests multiple probability values. Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value. Approximate population mean statistical inference two tails tests multiple probability values. Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value....
$12.99
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Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
Approx. 33 hours to complete
Analytical inference Variational Inference & Latent Dirichlet Allocation Why approximate inference? Variational inference Scaling Variational Inference & Unbiased estimates...
Battery State-of-Charge (SOC) Estimation
by Gregory Plett- 4.8
Approx. 28 hours to complete
1: Predict/correct mechanism of sequential probabilistic inference 3: Summarizing the six steps of generic probabilistic inference...
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
Approx. 17 hours to complete
-Produce approximate nearest neighbors using locality sensitive hashing. Approximate k-NN search using KD-trees Goal of LDA inference The need for Bayesian inference...