Search result for Inference Online Courses & Certifications
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Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
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Approx. 54 hours to complete
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Welcome to Statistical Inference Course Book: Statistical Inference for Data Science...
Causal Inference 2
by Michael E. Sobel- 0.0
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Approx. 6 hours to complete
This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships....
Causal Inference
by Michael E. Sobel- 3.3
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Approx. 12 hours to complete
This course offers a rigorous mathematical survey of causal inference at the Master’s level. Module 2: Randomization Inference Lesson 3: Randomization Inference...
Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
by Ryu Keun-kwan , Sangbeom Kim- 0.0
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3 Weeks
Statistical Inference is the process by which data is used to draw a conclusionoruncover ascientific truthabout a population from asample....
$49
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods....
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
by Kimberly Karalekas- 0.0
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Approx. 5 hours to complete
This course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices....
Data Science: Inferential Thinking through Simulations
by Ani Adhikari , John DeNero , David Wagner- 0.0
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5 Weeks
In this course, you will learn the framework for statistical inference and apply them to real-world data sets. The logical and conceptual frameworks of statistical inference...
$199
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Computational Probability and Inference
by George H. Chen , Polina Golland , Gregory W. Wornell , Lizhong Zheng- 0.0
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12 Weeks
Probability and inference are used everywhere. Algorithms for prediction and inference How to model real-world problems in terms of probabilistic inference...
$49
Fuzzy Logic - A practical introduction
by Petrus Rohland- 3.5
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33 mins on-demand video
This course is intended for hackers, hobbyists and professionals alike; Anyone that wants to get up-and-running quickly with a Fuzzy inference engine. I will walk you through the complete design process of a Fuzzy Controller or Inference system - From fuzzification to inference methods up to and including defuzzification....
$10.99
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
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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...
