machine learning fundamentals coursera - Axtarish в Google
There are 6 modules in this course · 1. Grasp the fundamental principles of machine learning and its real-world applications. · 2. Construct and evaluate ...
In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ...
Offered by University of Washington. Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses. Enroll for free.
In this course, you will get hands-on experience with machine learning from a series of practical case-studies.
Gain insight into a topic and learn the fundamentals. 4.3 (55 reviews) 14 hours to complete 3 weeks at 4 hours a week Flexible schedule Learn at your own pace.
Transform your career with Coursera's Machine Learning courses. Enroll for free, earn a certificate, and build job-ready skills on your schedule.
This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. Andrew Ng · Geoff Ladwig · Decision Trees
Beginners should look for courses that introduce the fundamentals of machine learning, including basic algorithms and data preprocessing techniques.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.
4 modules. Gain insight into a topic and learn the fundamentals. 3.7 (335 reviews) Intermediate level. Some related experience required. 18 hours to complete.
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