Search result for Data analysis and machine learning Online Courses & Certifications
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Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
Spark
by David Drummond , Judit Lantos- 0.0
Approx. 10 hours
Spark is a top open source project used by the largest companies and startups around the world to efficiently analyze messy data sets. Master how to work with big data and build machine learning models at scale using Spark!...
Free
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
Approx. 17 hours to complete
Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Machine learning techniques for regime analysis Learn the principles of supervised and unsupervised machine learning techniques to financial data sets...
Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
* Why we want to study big data and how to prepare data for machine learning algorithms Machine Learning Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 9 - Out-of-sample Data and Learning Curves Segment 12 - Processing Your Data Prior to Machine Learning...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
Approx. 14 hours to complete
- Plan ML: Determine the way in which machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there. Machine learning for government and healthcare Plan ML: Determine the way machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there...
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with Aggregation Structure and Syntax Aggregation Structure and Syntax Machine Learning with MongoDB...
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Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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...
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
Approx. 27 hours to complete
This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML....
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Azure Machine Learning Service: Model Management and Deployment...