Search result for Expected values Online Courses & Certifications
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Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
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Approx. 6 hours to complete
Introduction and expected values Multivariate expected values, the basics Expected values, matrix operations Expected values of quadratic forms Expected value properties of least squares estimates Introduction to expected values Expected Values...
Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
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Approx. 54 hours to complete
Week 1: Probability & Expected Values 04 01 Expected values 04 02 Expected values, simple examples 04 03 Expected values for PDFs Expected values...
Data Science: Probability
by Rafael Irizarry- 0.0
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8 Weeks
We will introduce important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. The meaning of expected values and standard errors and how to compute them in R...
$99
Agile Software Development
by Praveen Mittal- 4.7
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Approx. 12 hours to complete
It is rapidly becoming the choice for software development where requirements are unpredictable or is expected to change over time. You will be given fictional case studies, where after studying the case study, you will have to exercise some of the practices, techniques, etc that team members of an agile team members are expected to know....
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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Approx. 22 hours to complete
variable whose values are determined by random experiment. Expected value of random variable. Expected value example and calculation Expected value as best prediction Discrete random variables with infinite number of values Example of infinite expected value Symmetric distributions and their expected values Expected value of continuous random variable Properties of expected value and variance...
Leadership in Interprofessional Informatics
by Karen Monsen, Ph.D., RN, FAAN , Daniel J. Pesut, Ph.D., RN, FAAN- 4.8
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Approx. 28 hours to complete
We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory. Describe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts Core Values 101...
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
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Using Machine Learning in Trading and Finance
by Jack Farmer , Ram Seshadri- 4
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Approx. 19 hours to complete
You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Fat Chance: Probability from the Ground Up
by Benedict Gross , Joseph Harris , Emily Riehl- 0.0
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7 Weeks
Lastly, in Module 7, you will be introduced to statistics through the notion of expected value, variance, and the normal distribution....
$139
