Search result for Machine learning operations Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 212 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
-
![]()
![]()
![]()
![]()
![]()
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 Machine Learning Operations (MLOps) Overview...
MLOps (Machine Learning Operations) Fundamentals
by Google Cloud Training- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. Data Scientists looking to quickly go from machine learning prototype to production to deliver business impact. Software Engineers looking to develop Machine Learning Engineering skills. Machine Learning Lifecycle...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
-
![]()
![]()
![]()
![]()
![]()
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)....
Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Machine Learning Model Machine Learning Workflow Differences Between Traditional Programming and Machine Learning Machine Learning Outcomes Guidelines for Following the Machine Learning Workflow...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies....
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. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Machine Learning Alogrithms Comparison of machine learning algorithms Azure Machine Learning Service: Model Training Module 5: Azure Machine Learning Operations...
Data analyzing and Machine Learning Hands-on with KNIME
by Barbora Stetinova, MBA- 0.0
-
![]()
![]()
![]()
![]()
![]()
4.5 hours on-demand video
The goal of this course is to gain knowledge how to use open source Knime Analytics Platform for data analysis and machine learning predictive models on real data sets. MACHINE LEARNING - REGRESSION AND CLASSIFICATION: We will create machine learning models in standard machine learning process way, which consists in:...
$13.99
Related searches
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. Module 2: Machine Learning on AWS AWS Machine Learning Stack AWS Deep Learning AMIs Data in Machine Learning...
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Module 1: Introduction to Machine Learning Introduction to Machine Learning Module 3: Practical Concepts in Machine Learning Introduction to Practical Machine Learning Practical Concerns with Machine Learning Machine Learning and Anomaly Detection...
Data Science and Machine Learning For Beginners with Python
by Bluelime Learning Solutions- 4.2
-
![]()
![]()
![]()
![]()
![]()
8 hours on-demand video
Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. Explore Machine Learning Frameworks...
$12.99
