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Building Recommender Systems with Machine Learning and AI
by Sundog Education by Frank Kane- 4.4
11.5 hours on-demand video
How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python. We'll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Create recommendations using deep learning at massive scale...
$20.99
Managerial Accounting Fundamentals
by Luann J. Lynch- 4.8
Approx. 13 hours to complete
Your Turn: Estimating Cost Functions Using Scatter Plots Problem 1 Your Turn: Estimating Cost Functions Using Scatter Plots Problem 2 Your Turn: Estimating Cost Functions Using the High-Low Method Problem 1 Your Turn: Estimating Cost Functions Using the High Low Method Problem 2 Your Turn: Allocating Overhead Costs Problem 1 Your Turn: Allocating Overhead Costs Problem 2...
[2021] Data Science & Supply Chain Analytics A-Z | Ver 7.2
by William McGuffey Academy- 3.8
5.5 hours on-demand video
Learn A-Z of R, Supply-Chain Data Science, Inventory Optimization, Forecasting, Machine learning and Revenue Management. • Experimental learning through team-based solving of a real-life problem • Curriculum with experiential learning and is based on the working of the industry • Peer learning from experienced fellow candidates EXPERIMENTAL learning through team-based solving of a real-life problem...
$9.99
Programming with Scratch
by Kenneth W T Leung- 4.1
Approx. 37 hours to complete
Learning coding is not only about understanding the programming language being used, but also developing important computational thinking skills, which are useful for problem solving across many disciplinary areas....
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
Approx. 10 hours to complete
In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters. Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering. Clustering as an Optimization Problem...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
Approx. 19 hours to complete
Supervised and Unsupervised Learning Basics of Machine Learning Practical Machine Learning A Review of Supervised Learning and Regression Assigning Classes Based on Probabilities A Review of Problem Framing Measurable Problem Objectives Problem Constraints Machine Learning Solutions Discussion Intro Machine Learning Solutions...
Art & Inquiry: Museum Teaching Strategies For Your Classroom
by Larissa Raphael , Francis Estrada , Lisa Mazzola- 4.7
Approx. 9 hours to complete
Explore how to integrate works of art into your classroom with inquiry-based teaching methods originally developed for in-gallery museum education. Module 1: Introduction to Inquiry | Why Engage in Inquiry Around Art? 1. 1 Introduction to Inquiry: Why Engage in Inquiry Around Art? 1. 2 Why Engage in Inquiry Around Art?...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
Approx. 20 hours to complete
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment....
Machine Learning
by Andrew NgTop Instructor- 4.9
Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)....
Teaching Science at University
by Sara Taner , Kai Niebert , Sara Petchey- 4.5
Approx. 13 hours to complete
Based on up-to-date findings from research into teaching and learning science you will be able to The course is based on lectures (videos), handouts (knowledge-to practice briefs), which supplement the knowledge taught in the lectures and assignments to implement the teaching strategies into your own practice. Introduction: Teaching and Learning Science...