Search result for Examples of supervised learning Online Courses & Certifications
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Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer. Week 4: Supervised and Unsupervised learning with SparkML...
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. - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. - state of the art RL algorithms Reinforcement learning vs all At the heart of RL: Dynamic Programming Model-free reinforcement learning Supervised & Reinforcement Learning All Kinds of Policies Combining supervised & reinforcement learning...
Data Science Fundamentals For Beginners
by VIEH Group- 3.1
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1.5 hours on-demand video
First of all this is complete Data Science Fundamental Course. Most of the businesses today are using Data Science to add value to their business operations and increase customer satisfaction and retention. And, this is the right time to start learning Data Science. Basics of Data Science Understanding Machine Learning Vs Data Science Machine Learning Workflow Supervised Vs Unsupervised Learning...
$12.99
Foundations of Teaching for Learning: Planning for Teaching and Learning
by Dr Judy Halbert , Dr Linda Kaser , Professor John MacBeath- 4.8
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Approx. 12 hours to complete
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. Copy of Lecture 1: Introduction to mindsets for Teaching and Learning Lecture 3: Spirals of Inquiry: Developing a Hunch and New Professional Learning...
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation....
$99
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 2-3 Exhausting the Version Space: Definition, Theorem ,Proof and some examples 2-5 Some examples and discussion about VC dimension...
Application of AI, InsurTech, and Real Estate Technology
by Christopher Geczy- 4.6
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Approx. 4 hours to complete
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Classifications of InsurTech Companies Investment & Market Size of the InsurTech Industry Size of the Global Real Estate Tech Market Commercial Real Estate Tech Examples Background of AI...
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Introduction to Artificial Intelligence (AI)
by Rav Ahuja- 4.7
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Approx. 9 hours to complete
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. Applications and Examples of AI Impact and Examples of AI Some Applications of AI Optional: More Applications of AI Applications and Examples of AI...
Deep Learning for Business
by Jong-Moon Chung- 4.4
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Approx. 8 hours to complete
In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. Basics of Deep Learning Neural Networks...
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
You will learn about and practice a variety of Supervised, Unsupervised and Reinforcement Learning approaches. Supervised Learning is an important component of all kinds of technologies, from stopping credit card fraud, to finding faces in camera images, to recognizing spoken language....
Free
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