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人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information 3-4 Model Evaluation: Metrics for Performance Evaluation, Methods for Model Comparison Neural Network and Deep learning...
Python Classes and Inheritance
by Steve Oney , Paul Resnick- 4.7
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Approx. 17 hours to complete
You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. Adding Other Methods to a Class Special (dunderscore) Methods Adding Other Methods to a Class Inheriting Variables and Methods Overriding Methods Inheriting Variables and Methods Overriding Methods Keep Learning with Michigan Online...
Introduction to Data, Signal, and Image Analysis with MATLAB
by Jack Noble- 4.7
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Approx. 23 hours to complete
Learners will gain experience with methods for data visualization, including high dimensional datasets in MATLAB Learners will apply machine learning methods for data classification and prediction in MATLAB Learners will learn essential signal frequency analysis and image processing methods in MATLAB...
Python Machine Learning Crash Course for Beginners
by AI Sciences- 4.3
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10 hours on-demand video
Complete Machine Learning step-by-step Course, Mastering Regression, Classification and Clustering [2020] Are you ready to start on your path to becoming a machine learning expert? “Machine learning will automate jobs that most people thought could only be done by people. “A breakthrough in machine learning would be worth ten Microsofts. Machine learning methods Different machine learning methods...
$12.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models Learning Undirected Models Learning BN Structure...
Assets in Accounting
by Intuit Professional Development- 4
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Approx. 19 hours to complete
Bad Debt Overview and Write Off Methods Inventory Accounting Methods Introduction and Learning Objectives Introduction and Learning Objectives Costing Methods Quiz Inventory Accounting Methods Assessment Introduction and Learning Objectives...
Artificial Intelligence Privacy and Convenience
by Brent Summers- 4.6
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Approx. 6 hours to complete
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Protecting Privacy: Theories and Methods Privacy methods in practice...
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Assessment in Higher Education: Professional Development for Teachers
by Kris Stabel , Marit Nieuwenhuys , Sanne van Herpen , Berry Nijveld , Remy Fermont , Mandy Hollander- 4.8
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Approx. 18 hours to complete
Next to that you will become part of a learning community with teachers from all over the world. • How can you select the right methods of assessment for your course? Perspectives: Teachers and their preferences for methods of assessment Building block for peer review: Connect your learning objectives to the methods of assessment for your course...
Introduction to Machine Learning
by Anton Boitsev , Aleksei Romanov , Dmitry Volchek , Elena Mikhailova- 0.0
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5 Weeks
Learn the essentials of machine learning and algorithms of statistical data analysis. In this course you will learn modern methods of machine learning to help you choose the right methods to analyze your data and interpret the results correctly. It will cover the modern methods of statistics and machine learning as well as mathematical prerequisites for them....
$149
Machine Learning Fundamentals
by Sanjoy Dasgupta- 0.0
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10 Weeks
In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Linear models and extensions to nonlinearity using kernel methods...
$350
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