Search result for Problem based learning model Online Courses & Certifications
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Applied Deep Learning Capstone Project
by Joseph Santarcangelo- 0.0
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5 Weeks
In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it. Know how to build a Deep Learning model to solve a real problem Apply knowledge of Deep Learning to improve models using real data...
$149
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Machine Learning Workflow Model Optimization A Review of Model Generalization Model Generalization and Validation Set Solve complex supervised learning problems using tree-based models....
Organizational innovation and creativity
by Fernando Moya Dávila- 0.0
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4 Weeks
This online course offers you methodologies for innovation and problem resolution. Identify business model concepts and design unique value propositions Apply the principles of design thinking to innovative problem solving Apply based and open innovation, and results co-creation to problem solving Experiencing problem solving to refine solutions...
$99
Machine Learning
by Andrew NgTop Instructor- 4.9
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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)....
Data Structures and Algorithms
by Brynn Claypoole , Abe Feinberg , Kyle Stewart-Franz- 0.0
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4 Months
You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices....
University Teaching
by Dr. Lily Min Zeng , Tracy, Xiaoping Zou- 4.8
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Approx. 18 hours to complete
University Teaching is an introductory course in teaching and learning in tertiary education, designed by staff at the Centre for the Enhancement of Teaching and Learning at the University of Hong Kong. - Discuss the teaching and learning context in higher education and reflect on the potential challenges and opportunities you might encounter....
Robotics: Computational Motion Planning
by CJ Taylor- 4.3
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Approx. 11 hours to complete
In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. Throughout the course, we will discuss the aspects of the problem that make planning challenging. 3: Piano Mover’s Problem...
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Creating a Personalized Learning Environment in the Classroom
by Jamie Haig Marr Costley , Maxim Bulanov- 0.0
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Approx. 15 hours to complete
The course provides an overview of current pedagogical, psychological and philosophical theories and approaches, accompanied by a large practical block on the design of personalized learning environment in the classroom. - gradually implement methods of personalised learning in their work Theoretical bases and principles to create personalized learning environment in the classroom...
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
by 林軒田- 4.9
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Approx. 9 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Logistic Regression Problem Model Selection Problem 第十六講: Three Learning Principles...
Text Retrieval and Search Engines
by ChengXiang Zhai- 4.5
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Approx. 31 hours to complete
3: Text Retrieval Problem 5: Vector Space Model - Basic Idea 6: Vector Space Retrieval Model - Simplest Instantiation 1: Vector Space Model - Improved Instantiation 1: Probabilistic Retrieval Model - Basic Idea 1: Learning to Rank - Part 1 2: Learning to Rank - Part 2 3: Learning to Rank - Part 3...
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