Search result for Master of science in machine learning Online Courses & Certifications
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Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
Approx. 22 hours to complete
By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. Introduction to Supervised Machine Learning Supervised Machine Learning Reference Applying the Supervised Machine Learning Workflow Summary of Predictive Modeling and Machine Learning Examples of Integrating Machine Learning Models Automated Machine Learning...
Natural Language Processing and Capstone Assignment
by Dursun Delen , Julie Pai- 0.0
Approx. 5 hours to complete
The course concludes with a capstone assignment in which you will apply a wide range of what has been covered in this specialization. The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science II The Past, Present, and Future of Data Science II...
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. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e....
What is Data Science?
by Rav Ahuja , Alex Aklson- 4.7
Approx. 9 hours to complete
The art of uncovering the insights and trends in data has been around since ancient times. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. A day in the Life of a Data Scientist Applications of Machine Learning...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
Approx. 14 hours to complete
This course will guide you to lead or participate in the end-to-end implementation of machine learning (aka predictive analytics). - Plan ML: Determine the way in which machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there. This specialization includes illuminating software demos of machine learning in action using SAS products....
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
Approx. 9 hours to complete
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. Applications of ML in the Real World Brief History of ML in Quantitative Finance...
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
Approx. 13 hours to complete
In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. To complete the project, you must have mastery of the skills covered in other courses in the specialization. Apply Machine Learning Storytelling in Data Science...
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Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Explain and apply a set of unsupervised learning concepts and methods Machine Learning Structure of a Machine Learning Problem...
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
Approx. 17 hours to complete
If you want to participate in the deployment of machine learning (aka predictive analytics), you've got to learn how it works. This course includes illuminating software demos of machine learning in action using SAS products. Pitfalls: the seven deadly sins of machine learning Pitfalls: the seven deadly sins of machine learning...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
This is a focused course designed to rapidly get you up to speed on doing data science in real life. Get a glimpse into a day in the life of a data analysis manager. Contrasting machine learning versus classical statistical inference Data science in the ideal versus real life Part 1...