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Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
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Approx. 38 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Properties of Cluster Graphs Message Passing in Cluster Graphs...
Robotics: Computational Motion Planning
by CJ Taylor- 4.3
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Approx. 11 hours to complete
3: Introduction to Rapidly Exploring Random Trees...
Create a Practical Company Marketing Plan
by Marcia Yudkin- 3.6
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2 hours on-demand video
Most marketing plan courses or software programs teach you to construct a formal planning document, heavy with charts and graphs and business-school-style analysis. With your new marketing blueprint in hand, you'll stop careening from crisis to crisis, grasping at random ideas, suffering costly mistakes and omissions....
$11.99
Data Science, Analytics & AI for Business & the Real World™
by Rajeev D. Ratan- 4.5
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30 hours on-demand video
Big Data with PySpark - Challenges in Big Data, Hadoop, MapReduce, Spark, PySpark, RDD, Transformations, Actions, Lineage Graphs & Jobs, Data Cleaning and Manipulation, Machine Learning in PySpark (MLLib) To create beautiful charts, graphs and Visualisations that tell a Story with Data...
$9.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Maximum Likelihood for Conditional Random Fields...
Networks Illustrated: Principles without Calculus
by Christopher Brinton , Mung Chiang- 4.4
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Approx. 24 hours to complete
Random Access in Wifi Networks Random Access Random Access Protocols & ALOHA Random Graphs...
Data Science & Deep Learning for Business™ 20 Case Studies
by Rajeev D. Ratan- 4.2
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20 hours on-demand video
Big Data with PySpark - Challenges in Big Data, Hadoop, MapReduce, Spark, PySpark, RDD, Transformations, Actions, Lineage Graphs & Jobs, Data Cleaning and Manipulation, Machine Learning in PySpark (MLLib) Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests...
$9.99
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Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
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Approx. 67 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Conditional Random Fields...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
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Approx. 12 hours to complete
Random Numbers and Probability Distributions...
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