Udemy - A beginner guide to Data Science and Machine learning Course

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[ DevCourseWeb.com ] Udemy - A beginner guide to Data Science and Machine learning Course
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction of Machine Learning
    • 001 Machine Learning Intro.mp4 (42.5 MB)
    • 001 Machine Learning Intro_en.vtt (7.4 KB)
    • 002 Traditional Programming Vs Machine Learning.mp4 (17.5 MB)
    • 002 Traditional Programming Vs Machine Learning_en.vtt (2.7 KB)
    • 003 How does Machine Learning Work_.mp4 (17.6 MB)
    • 003 How does Machine Learning Work__en.vtt (3.4 KB)
    • 004 Machine Learning Algorithms.mp4 (43.2 MB)
    • 004 Machine Learning Algorithms_en.vtt (7.6 KB)
    • 005 How to Choose Machine Learning Algorithm_.mp4 (29.8 MB)
    • 005 How to Choose Machine Learning Algorithm__en.vtt (6.9 KB)
    • 006 Applications of Machine Learning_.mp4 (55.2 MB)
    • 006 Applications of Machine Learning__en.vtt (12.3 KB)
    • 007 Limitations of Machine Learning.mp4 (8.9 MB)
    • 007 Limitations of Machine Learning_en.vtt (2.8 KB)
    02 - Introduction of Data Science
    • 001 Introduction of Data Science and Importance.mp4 (42.5 MB)
    • 001 Introduction of Data Science and Importance_en.vtt (7.4 KB)
    • 002 Data Science Process.mp4 (34.0 MB)
    • 002 Data Science Process_en.vtt (4.6 KB)
    • 003 Benefits of Data Scientist.mp4 (42.0 MB)
    • 003 Benefits of Data Scientist_en.vtt (5.5 KB)
    • 004 Applications of Data Science.mp4 (78.8 MB)
    • 004 Applications of Data Science_en.vtt (12.8 KB)
    • Bonus Resources.txt (0.4 KB)

Description

A beginner guide to Data Science and Machine learning Course



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 412 MB | Duration: 1h 12m

Learn about data science and machine learning algorithm their importance and the use of Machine learning in world fields

What you'll learn
After this course Students will have intermediate Knowledge of Machine learning concepts.
After this course Students will have intermediate Knowledge of Data science concepts.
Applications of Data science in Real world.
complete guide for starting the journey of data science

Requirements
Basic Knowledge of Data
No coding Experience
Description
Because of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum.



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Udemy - A beginner guide to Data Science and Machine learning Course

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412.1 MB
seeders:11
leechers:2
Udemy - A beginner guide to Data Science and Machine learning Course

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