Search result for Google course on machine learning Online Courses & Certifications
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Microsoft Azure Machine Learning
by Microsoft- 4.8
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. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
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...
Responsive Website Tutorial and Examples
by Dr Matthew Yee-King , Dr Mick Grierson- 4.2
Approx. 24 hours to complete
Participation in or completion of this online course will not confer academic credit for University of London programmes. Responsive Website Tutorials and Examples outline: Course overview Course overview Course outline Getting started: learning outcomes Drawing machine example: learning outcomes Rendering data on the page: learning outcomes Rendering data on the page...
Production Machine Learning Systems
by Google Cloud Training- 4.6
Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Welcome to the course Course Introduction Getting Started with Google Cloud Platform and Qwiklabs Data on Other Clouds Machine Learning on Hybrid Cloud Course Summary...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. The Machine Learning Process...
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)....
MLOps (Machine Learning Operations) Fundamentals
by Google Cloud Training- 4
Approx. 16 hours to complete
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. 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. Machine Learning Lifecycle...
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Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
Approx. 9 hours to complete
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation. Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Operationalizing Machine Learning Models: Exam Guide Review Operationalizing Machine Learning Models...
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. Week three will focus on setting up GluonCV and MXNet. Module 2: Machine Learning on AWS AWS Machine Learning Stack Data in Machine Learning...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. Introduction to Course and Reinforcement Learning TD Learning Q Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...