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Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data....
Python Machine Learning : Learn Handson™
by Handson ™- 4.7
7.5 hours on-demand video
Linear Algebra Review: Eigen value decomposition....
$12.99
Causal Data Science with Directed Acyclic Graphs
by Paul Hünermund- 4.7
5 hours on-demand video
Get to know the modern tools for causal inference from machine learning and AI, with many practical examples in R This course offers an introduction into causal data science with directed acyclic graphs (DAG). DAGs combine mathematical graph theory with statistical probability concepts and provide a powerful approach to causal reasoning....
$13.99
Discrete Time Signals and Systems
by Richard G. Baraniuk- 0.0
8 Weeks
Enter the world of signal processing: analyze and extract meaning from the signals around us! Coming Soon February 2021. Technological innovations have revolutionized the way we view and interact with the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains....
$249
Comparative Research Designs and Methods
by Dirk Berg-Schlosser- 0.0
6 Weeks
Explore comparative analysis and itsimportance in the social sciences. You'll learn howto use comparative methods for constructive explanation and theory building and applyit to real-world politics. This course is part of the IPSAMOOC project, a joint venture Federica Weblearning - IPSA, the International Political Science Association So what's the right answer?...
$59
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Digital Electronics & Logic Design
by 10X Training Technologies- 4.5
6 hours on-demand video
The course contains material on: Base Number systems, Base conversions, Digital Logic gates, Boolean Algebra and Principles, Boolean Expression simplification, Karnaugh Maps (or K-Maps) as well as more advanced concepts of Combinatorial Circuits including: Encoders, Decoder, Multiplexers, DeMultiplexers, Adders, Sequential Circuits and more!...
$15.99
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. By the end of this course you should be able to:...
The Introduction to Quantum Computing
by Сысоев Сергей Сергеевич- 4.3
Approx. 17 hours to complete
"Quantum Computing" is among those terms that are widely discussed but often poorly understood. The reasons of this state of affairs may be numerous, but possibly the most significant among them is that it is a relatively new scientific area, and it's clear interpretations are not yet widely spread. But fear not! This is not a course on quantum mechanics....