Machine Learning Data Lifecycle in Production
Course Features
Duration
22 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
22 hours
Course Description
Highlights
Rating & Reviews
Top 30 Percentile
Pedagogy
Top 20 Percentile
Parameters
Pedagogy
This course is your pathway to mastery in Machine Learning, empowering you to become an expert in the field. Develop skills and in-depth knowledge, equipping you with the expertise and confidence to excel professionally and make significant contributions in the Machine Learning domain. An exceptional course in Machine Learning, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Rating & Reviews
This highly acclaimed course is among the top-rated in Machine Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Machine Learning.
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Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Some knowledge of AI / deep learning
Intermediate Python skills
Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)
What You Will Learn
Identify responsible data collection for building a fair ML production system
Implement feature engineering, transformation, and selection with TensorFlow Extended
Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data
Course Instructors
Robert Crowe
Instructor
Course Reviews
Average Rating Based on 8 reviews
100%