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Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Deep learning as a language...
English for Effective Business Writing
by Kin Tang , Delian Gaskell- 4.4
Approx. 26 hours to complete
This course aims to improve your Business English writing skills by developing your use of vocabulary, grammar, understanding of different business writing genres, and your ability to write professional business documents. Skills learned in this course will be used in the cross-cultural communications course and help prepare you to produce the professional business documents in the Capstone project....
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Basics of Model Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Learning, Knowledge, and Human Development
by Dr William Cope , Dr Mary Kalantzis- 4.5
Approx. 9 hours to complete
This course sets out to provide an understanding of theories of learning and development and how these theories relate to educational technology. This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois....
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
Approx. 20 hours to complete
This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. (These technologies are introduced in the course as necessary so no previous knowledge is required....
Core ML: Machine Learning for iOS
by Jarrod Parkes , Meghan Kane- 0.0
Approx. 1 weeks
Machine learning is not new to iOS apps, but, with Core ML, it is made easy. Core ML provides you access to a variety of machine learning types and standard models that you can integrate into your app while maintaining your app's performance and efficiency....
Free
Lesson | Business English Skills: Introducing Yourself in Business Settings
by Richard Moore- 0.0
Approx. 1 hour to complete
Take this lesson to get a short tutorial on the learning objectives covered. Video: Real Language...
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Emerging Trends & Technologies in the Virtual K-12 Classroom
by Racquel Stephens- 4.6
Approx. 7 hours to complete
Welcome to Emerging Trends and Technologies in K-12! This course will help you evaluate and implement technology in the most useful way within your virtual classroom setting. • Identify and evaluate existing and emerging technologies for virtual course instruction or curriculum development. • Use collaborative learning tools to design and assess learning activities....
Preparing for Graduate Study in the U.S.: A course for international students
by Pamela Bogart- 4.3
Approx. 14 hours to complete
This course prepares you to embark upon your future graduate studies in the U. Use at least three digital resources to investigate language use Meet Your Course Instructor Language for the Elevator Pitch Our First and Second Language Selves Language for Introducing Yourself Professionally Week 3: English for Interactive Learning & Teamwork...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
Approx. 10 hours to complete
In this module, we define what Machine Learning is and how it can benefit your business. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. Course Introduction Introduction to Machine Learning Introduction to Machine Learning...