Search result for Types of unsupervised learning Online Courses & Certifications
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Introduction to Computer Vision and Image Processing
by Aije Egwaikhide , Joseph Santarcangelo- 4.5
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Approx. 21 hours to complete
Computer Vision is one of the most exciting fields in Machine Learning and AI. As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection. Applications of Computer Vision Graded Quiz: Overview of Computer Vision and its Applications Machine Learning Image Classification...
Learn and Practice C programming for beginners
by Zaki Badr- 3.8
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5.5 hours on-demand video
C programming for beginners,fundamentals of C programming, C for absolute beginners,C coding,C exercises,C language Learning constants and variables Learning Expressions Learning Arithmetic operators Learning Data types and names in C Learning Error Types Learning the use of scanf() function Learning the use of printf() function Learning the techniques of using flowcharts...
$12.99
Design and Development of Educational Technology
by Eric Klopfer , Scot Osterweil , Judy Perry- 0.0
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9 Weeks
Unit 4 introduces the idea of collaborative learning and considers communities of practice. A broad understanding of several prominent educational theories and approaches regarding teaching and learning and examples of how these are manifested in educational technologies How to recognize different types of assessment and how technology is changing the landscape for assessing learning...
$99
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Variable Types Data Types in Python...
Introduction to Cloud Computing
by Rav Ahuja- 4.8
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Approx. 12 hours to complete
This course introduces you to the core concepts of cloud computing. Even though this course does not require any prior cloud computing or programming experience, by the end of the course, you will have created your own account on IBM Cloud and gained some hands-on experience by provisioning a cloud service and working with it. Types of Virtual Machines...
Software Architecture for the Internet of Things
by Frank Gielen- 4.3
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Approx. 27 hours to complete
This course will teach you how to design futureproof systems that meet the requirements of IoT systems: systems that are secure, interoperable, modifiable and scalable. Lastly, you'll come to understand the business impact of the technical decisions that you make as an IoT system architect. The role of the software architect Learning objectives per week Different types of patterns...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
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Applied Social Network Analysis in Python
by Daniel Romero- 4.7
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Approx. 29 hours to complete
The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. Keep Learning with Michigan Online!...
NLP - Natural Language Processing with Python
by Jose Portilla- 4.6
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11.5 hours on-demand video
We will expand this knowledge to more complex unsupervised learning methods for natural language processing, such as topic modelling, where our machine learning models will detect topics and major concepts from raw text files. This course even covers advanced topics, such as sentiment analysis of text with the NLTK library, and creating semantic word vectors with the Word2Vec algorithm....
$14.99
Systems Thinking In Public Health
by David Bishai, MD, PhD , Ligia Paina, PhD- 4.6
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Approx. 15 hours to complete
Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. The responsibility for the interpretation and use of the material lies with the reader. Lecture 1D: Where Systems Thinking Helps: Understanding the Types of Problems, Theories, Methods, and Tools Module Learning Objectives Advancing the application of systems thinking in health: why cure crowds out prevention...
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