Search result for Problem based learning model Online Courses & Certifications
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Knowledge-Based AI: Cognitive Systems
by Ashok Goel , David Joyner- 0.0
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Approx. 7 weeks
At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition....
Free
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Supervised learning Unsupervised learning Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models A scenario based portfolio model...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning Python Tools for Machine Learning An Example Machine Learning Problem Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning...
Practical Reinforcement Learning
by Pavel Shvechikov , Alexander Panin- 4.3
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Approx. 26 hours to complete
Welcome to the Reinforcement Learning course. Reinforcement learning vs all Model-free reinforcement learning Approximate Value Based Methods Supervised & Reinforcement Learning Loss functions in value based RL Combining supervised & reinforcement learning...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
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. Guidelines for Setting Up a Machine Learning Model Set up and train a machine learning model as needed to meet business requirements....
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Basics of Model Learning Model Learning with PyTorch Methods for Learning Model Parameters Reinforcement Learning Problem Setup Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images...
Sample-based Learning Methods
by Martha White , Adam White- 4.7
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Approx. 22 hours to complete
In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. Drew Bagnell: self-driving, robotics, and Model Based RL...
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Classroom Strategies for Inquiry-Based Learning
by Kelli Allen , Shelly Rodriguez- 0.0
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4 Weeks
Inquiry-based learning aims to increase student engagement by helping learners develop hands-on, minds-on skills. This education and teacher training course explores the 5E instructional model and its uses in the classroom. Learn the elements of the 5E instructional model Create a learning guide to use when implementing inquiry-based instruction in the classroom...
$149
Systems Thinking In Public Health
by David Bishai, MD, PhD , Ligia Paina, PhD- 4.6
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Approx. 15 hours to complete
Lecture 1B: Health Systems Applications of CAS: Health Systems Frameworks and the Problem of Implementation Lecture 1C: CAS Pathways: The Problem of Scaling Up Module Learning Objectives 2007 Anderson - Agent based models for simulating policies in complex systems Module Learning Objectives Vensim Model III - Performance Based Financing Module Learning Objectives...
Advanced Recommender Systems
by Paolo Cremonesi- 0.0
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Approx. 15 hours to complete
In this course, you will see how to use advanced machine learning techniques to build more sophisticated recommender systems. Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model....
