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Reinforcement Learning in Finance
by Igor Halperin- 3.6
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Approx. 17 hours to complete
This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management. - Use reinforcement learning to solve classical problems of Finance such as portfolio optimization, optimal trading, and option pricing and risk management. Introduction to Markov Decision Processes and Reinforcement Learning in Finance...
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 for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Machine Learning Process Lifecycle Review Match Data to the needs of the learning Algorithm...
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
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Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Module 1: Introduction to Machine Learning Introduction to Machine Learning Module 3: Practical Concepts in Machine Learning Introduction to Practical Machine Learning Practical Concerns with Machine Learning...
LEARNING PATH: Learning Docker and Kubernetes
by Packt Publishing- 4.2
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5 hours on-demand video
The first course, Learning Kubernetes, starts off with basic installation of Kubernetes and all its dependencies. We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data....
$12.99
Learning From Data (Introductory Machine Learning)
by Yaser S. Abu-Mostafa- 0.0
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10 Weeks
Introductory Machine Learning course covering theory, algorithms and applications. Identify basic theoretical principles, algorithms, and applications of Machine Learning Elaborate on the connections between theory and practice in Machine Learning Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations...
$49
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
- What it feels like to build machine learning and data science projects Machine Learning What machine learning can and cannot do More examples of what machine learning can and cannot do Non-technical explanation of deep learning (Part 1, optional) Non-technical explanation of deep learning (Part 2, optional) Workflow of a machine learning project...
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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 Supervised & Reinforcement Learning Combining supervised & reinforcement learning...
Mandarin Chinese 3: Chinese for Beginners
by Wang Jun , An Na- 4.9
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Approx. 22 hours to complete
Notice: Upgrading on Chinese character learning Learning to write Chinese Characters 1 学写汉字 1 （Low target/Optional） Learning to write Chinese Characters 2 学写汉字 2 （Low target/Optional） Learning to write Chinese Characters 3 学写汉字 3 （Low target/Optional） Learning to write Chinese Characters 4 学写汉字 4 （Low target/Optional） Learning to write Chinese Characters 5 学写汉字 5（Low target/ Optional）...
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
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Approx. 17 hours to complete
This course will show you how machine learning works. DEMO - Autotuning a machine learning model (optional) Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one Deep learning Machine learning software: dos and don'ts for choosing a tool Pitfalls: the seven deadly sins of machine learning...
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