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Image Understanding with TensorFlow on GCP
by Google Cloud Training- 4.6
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Approx. 12 hours to complete
This is the third course of the Advanced Machine Learning on GCP specialization. Linear and DNN Models Transfer Learning Lab Intro: Implementing Transfer Learning Lab Solution: Implementing Transfer Learning Lab Intro: Training with Pre-built ML Models using Cloud Vision API and AutoML Lab Solution: Training with Pre-built ML Models using Cloud Vision API and AutoML...
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. Machine Learning Techniques and Training Explain terms like Machine Learning, Deep Learning and Neural Networks Articulate advice from experts about learning and starting a career in AI...
Cloud Applications
by Umakishore Ramchandran- 0.0
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Approx. 4 hours to complete
This course provides an introduction to the development and support for Cloud-native applications, more specifically it delves into best practices of developing applications; migrating on premise applications to the cloud; the basic building blocks and properties expected from Cloud applications. Workshop 1: Azure Services and Project Discussion Infrastructure and Application Management...
Responsive Website Tutorial and Examples
by Dr Matthew Yee-King , Dr Mick Grierson- 4.2
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Approx. 24 hours to complete
In this course, we will show you exciting examples of collaborative, interactive web applications that use various types of media including sound, images and big data. An interactive data visualisation platform for exploring and plotting big data in exciting ways. Administrating the blog and making it responsive: learning outcomes Creating and serving data: learning outcomes...
Customer Insights: New Product Development Orientation
by William Qualls- 4.4
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Approx. 19 hours to complete
This course is the first in the Customer Insights and New Product Development (CIPD) specialization. It will introduce learners to the tools and process of gathering customer insights for identifying and developing new product opportunities. Module Readings and Resources Module 1 Readings and Resources MODULE 2: Product Development Customer Knowledge Requirement...
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn He has spent the last 2 years teaching data science, emphasizing how to store, retrieve, and analyze data from any kind of database. Installing Python and Creating a First Jupyter Notebook Getting Started with Machine Learning and AI...
$12.99
Local Economic Development
by Georgina Gomez , Bert Helmsing , Peter Knorringa , Jan Fransen , Ronald Wall- 4.7
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Approx. 27 hours to complete
Local economic development refers to the processes by which local governments, businesses, and civil society groups get together to raise income sustainably and improve their lives in a well-defined area. It singles out key factors that drive local economic development and enables participants to do their own learning process, defining local problems and appropriate solutions....
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Application of Health Equity Research Methods for Practice and Policy
by Lisa A. Cooper, M.D. , Tanjala S. Purnell, PhD MPH- 4.9
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Approx. 15 hours to complete
This course will cover innovative methods, practical tools, and skills required to conduct rigorous health equity research and translate evidence-based strategies into practice and policy. Practical Tools for Selecting and Training Staff for Health Equity Research Apply innovative recruitment strategies for socially at-risk populations, including hiring and training staff for health equity research studies....
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms....
Agile Software Development
by Praveen Mittal- 4.7
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Approx. 12 hours to complete
It is rapidly becoming the choice for software development where requirements are unpredictable or is expected to change over time. Prerequisite: You need basic knowledge of software development process and software development methodologies. 4) Ability to identify and address most common problems encountered in adopting Agile methods. Welcome and Course Intro...
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