Search result for Data science and machine learning Online Courses & Certifications
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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 Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning and Limitations...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What it feels like to build machine learning and data science projects Machine Learning What machine learning can and cannot do More examples of what machine learning can and cannot do Workflow of a machine learning project...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. Module 2: Data Consolidation and Analytics 02: Data Consolidation and Analytics Module 3: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Responsive Website Tutorial and Examples
by Dr Matthew Yee-King , Dr Mick Grierson- 4.2
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Approx. 24 hours to complete
An interactive data visualisation platform for exploring and plotting big data in exciting ways. • Implement animated data visualisations and graphics using advanced user interface libraries such as vis. Administrating the blog and making it responsive: learning outcomes Creating and serving data Drawing machine example: learning outcomes Creating and serving data: learning outcomes...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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Approx. 7 hours to complete
Have you ever had the perfect data science experience? This is a focused course designed to rapidly get you up to speed on doing data science in real life. 1, Describe the “perfect” data science experience Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls....
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
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Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations DEMO - Exploring SAS® Visual Data Mining and Machine Learning (optional)...
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Data Science Interview Prep
by Arpan Chakraborty , Jimmy Lafontaine Rivera- 0.0
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Approx. 1 week
Knowing what to expect and practicing are keys to technical interview success. You also need to show how you tackle problems and communicate your thinking. Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions....
Free
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
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Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....
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