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Learn By Example: Statistics and Data Science in R
by Loony Corn- 3.8
9 hours on-demand video
A gentle yet thorough introduction to Data Science, Statistics and R using real life examples Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples....
$12.99
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
Approx. 53 hours to complete
You will learn how probability distributions can be represented and incorporated into deep learning models in TensorFlow, including Bayesian neural networks, normalising flows and variational autoencoders. TensorFlow Distributions Univariate distributions [Coding tutorial] Univariate distributions Multivariate distributions [Coding tutorial] Multivariate distributions Trainable distributions [Coding tutorial] Trainable distributions [Knowledge check] Standard distributions...
Quantitative Project Risk Register
by Fernando Hernandez- 4.5
3 hours on-demand video
We add proper distributions for dealing with frequency and severity, simulation techniques, correlation, scenario analysis, and optimization of mitigation strategies....
$11.99
Linux Heap Exploitation - Part 1
by Max Kamper- 4.9
5 hours on-demand video
Learn hands-on GLIBC heap exploitation with HeapLAB. For nearly 20 years, exploiting memory allocators has been something of an art form. Become part of that legacy with HeapLAB. The GNU C Library (GLIBC) is a fundamental part of most Linux desktop and many embedded distributions; its memory allocator is used in everything from starting threads to dealing with I/O....
$16.99
Managing Uncertainty in Marketing Analytics
by David Schweidel- 4.3
Approx. 11 hours to complete
Topics include the development and application of Monte Carlo simulations, and the use of probability distributions to characterize uncertainty. Using Probability Distributions to Model Uncertainty...
What are the Chances? Probability and Uncertainty in Statistics
by Jennifer Bachner, PhD- 0.0
Approx. 11 hours to complete
Random Variables and Distributions Random Variables and Probability Distributions Random Variables and Probability Distributions Practice Problems Final Assessment on Random Variables and Distributions...
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
Approx. 31 hours to complete
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses....
Introduction to Statistics
by Quantitative Specialists- 4.6
2.5 hours on-demand video
Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean....
$13.99
Probability: Distribution Models & Continuous Random Variables
by Mark D. Ward- 0.0
6 Weeks
You will learn how these distributions can be connected with the Normal distribution by Central limit theorem (CLT)....
$49