Search result for Optimizing machine learning models 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
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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...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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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 efficient portfolio diversification Machine learning techniques for regime analysis...
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Week 2: Train, Debug, and Profile a Machine Learning Model...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
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Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Machine Learning Engineer
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics....
$399
Natural Language Processing
by Luis Serrano , Jay Alammar , Arpan Chakraborty , Dana Sheahen- 0.0
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3 Months
Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more! Build models using probabilistic and deep learning techniques and apply them to speech recognition, machine translation, and more!...
Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. Introduction to Create No-code Predictive Models with Azure Machine Learning...
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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. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together. Linear and DNN Models Linear Models Lab Intro: Linear Models for Image Classification...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
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Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
Free
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
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3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Then, use these skills to test and deploy machine learning models in a production environment....
