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Introduction to International Criminal Law
by Michael Scharf- 4.8
Approx. 13 hours to complete
-- About the Course -- In addition, there will be online role-play exercises and debates, enabling the students to share their own insights. Each unit is based on an online reading assignment, a video lecture of about one hour in length, and one or more role play exercises to stimulate on-line discussion....
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
Approx. 9 hours to complete
Introduction Fintech Innovations: Series Introduction Introduction to Blockchain and Crypto Course Introduction Introduction to Blockchain Introduction to Bitcoin Introduction to Ethereum Course Feedback Keep Learning with Michigan Online...
Population Health: Syndemics
by Matty Crone , Ria Reis- 0.0
Approx. 18 hours to complete
Do you wish to contribute to breaking cycles of ill-health in disadvantaged populations? This course will learn you about the concept of syndemcs and how to explore these combined medical and social problems. Welcome to Leiden University How to succeed in your online class? Introduction to qualitative research I Introduction to qualitative research II...
Random Models, Nested and Split-plot Designs
by Douglas C. Montgomery- 4.6
Approx. 9 hours to complete
A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. Course Introduction Course Description Course Textbook and Resources Best Practices in Online Learning (or How to Succeed in This Class) Unit 1: Introduction...
Analytical Solutions to Common Healthcare Problems
by Brian Paciotti- 4.4
Approx. 11 hours to complete
In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. Course Introduction How to Make Fairer Comparisons Using Risk Adjustment Algorithms and "Groupers" Module 2 Introduction Clinical Identification Algorithms (CIA)...
Art and Science of Machine Learning
by Google Cloud Training- 4.6
Approx. 19 hours to complete
The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code. Introduction to Neural Networks...
Bookkeeping Basics
by Intuit Professional Development- 4.6
Approx. 16 hours to complete
This is the first course in a series of four that will give you the skills needed to start your career in bookkeeping. Welcome to Course 1: Bookkeeping Basics Introduction to Accounting Introduction to the Bookkeeper Role and Learning Objectives Introduction to Working with the General Journal and General Ledger (Part 1)...
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Artificial Intelligence Privacy and Convenience
by Brent Summers- 4.6
Approx. 6 hours to complete
Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future. Course Introduction Algorithms vs privacy...
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Introduction to Supervised Learning Course Materials Introduction to Support Vector Machines Introduction to Training and Testing Where to Find Datasets...
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
Approx. 10 hours to complete
In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data. Week 1: Introduction to Clustering Algorithms Course Details...