Search result for Machine learning online course Online Courses & Certifications
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Lesson | Small Talk & Conversational Vocabulary
by Amalia B. Stephens- 4.2
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Approx. 1 hour to complete
This lesson is part of a full course, Speak English Professionally: In Person, Online & On the Phone. Take this lesson to get a short tutorial on the learning objectives covered. Learning Objectives...
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
Machine learning is transforming the world around us. With these skills, you will be able to tackle many practical machine learning tasks. These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting. Machine Learning Applications for BigData (Optional) Business applications of the machine learning...
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. Introduction to Artificial Intelligence and Machine Learning Machine Learning and Deep Learning...
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. Introduction to Trading with Machine Learning on Google Cloud Course Overview Introduction to Trading with Machine Learning on Google Cloud Welcome to Introduction to Trading, Machine Learning and GCP AI and Machine Learning...
Lesson | Telephone Language
by Amalia B. Stephens- 4.4
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Approx. 1 hour to complete
This lesson is part of a full course, Speak English Professionally: In Person, Online & On the Phone. Take this lesson to get a short tutorial on the learning objectives covered. Learning Objectives...
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)....
Foundations of Virtual Instruction
by Cindy Carbajal- 4.4
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Approx. 13 hours to complete
Examine pitfalls and learn how to overcome them by focusing on the fundamentals that have the most significant impact on student learning in a blended or online environment. • Use a variety of online tools to provide feedback and personalize the learning experience. History of Online Learning Terminology and Tools for Online Learning Other Online Learning Tools...
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Get Interactive: Practical Teaching with Technology
by Dr Eileen Kennedy , Dr Nancy Weitz , Ms Sarah Sherman- 4.7
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Approx. 15 hours to complete
This course is designed to help you create dynamic, interactive online courses through the use of multimedia tools, student collaboration opportunities, and formative assessment and feedback. We hope you will enjoy the active, hands-on nature of this course and find many ideas to incorporate in your teaching. Week 1: Enriching course content with multimedia...
Lesson | Organize Your Pitch
by Amalia B. Stephens- 4.5
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Approx. 1 hour to complete
This lesson is part of a full course, Speak English Professionally: In Person, Online & On the Phone. Take this lesson to get a short tutorial on the learning objectives covered. Learning Objectives...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
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Approx. 10 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. What is Machine Learning Applications of Machine Learning Components of Machine Learning...
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