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Big Data
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Practical Machine Learning
learning path
Practical Machine Learning
Practical Machine Learning
Intermediate
Difficulty: Intermediate
Up to 19h 1m
Duration: Up to 19 hours and 1 minute
2,213
Students: 2,213
3.9/5
Rating: 3.9/5
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Content overview
About
Author
Content overview
19 steps
There are 11 Courses in this learning path
11
There are 6 Exams in this learning path
6
There are 2 Hands-on Labs in this learning path
2
Difficulty: Beginner. Duration: 1h 23m.
COURSE
Beginner
1h 23m
Duration: 1 hour and 23 minutes
Module 0 - What is Machine Learning? - Part One
This lesson is the first in a two-part series covering the fundamentals of machine learning.
Difficulty: Beginner. Duration: 1h 30m.
COURSE
Beginner
1h 30m
Duration: 1 hour and 30 minutes
Module 0 - What is Machine Learning? - Part Two
This lesson is part two of the module on machine learning and covers unsupervised learning, the theoretical basis for machine learning, model and linear regression, the semantic gap, and how we approximate the truth.
Duration: Up to 35m.
EXAM
Up to 35m
Duration: Up to 35 minutes
Knowledge Check: Practical Machine Learning - Module 0
Knowledge Check: Practical Machine Learning - Module 0
Difficulty: Beginner. Duration: 52m 2s.
COURSE
Beginner
52m 2s
Duration: 52 minutes and 2 seconds
Module 1 – Python for Machine Learning
This lesson covers the basics of python in machine learning, how to use loops, regressions, and classification, and how to set up machine learning in python.
Duration: Up to 45m.
EXAM
Up to 45m
Duration: Up to 45 minutes
Knowledge Check: Practical Machine Learning - Module 1
Knowledge Check: Practical Machine Learning - Module 1
Difficulty: Beginner. Duration: 1h 45m.
COURSE
Beginner
1h 45m
Duration: 1 hour and 45 minutes
Module 2 - Maths for Machine Learning - Part One
This lesson is the first part of the two-part series on the mathematics of machine learning.
Difficulty: Beginner. Duration: 1h 32m.
COURSE
Beginner
1h 32m
Duration: 1 hour and 32 minutes
Module 2 - Maths for Machine Learning - Part Two
This lesson is the second part of the two-part series on the mathematics of machine learning.
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