Learn Machine Learning Offline

Learn Machine Learning Offline



Free

1.1for iPhone, iPad
Age Rating
4+
Apps in this category do not contain restricted content.
9+
Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.
12+
Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.
17+
You must be at least 17 years old to access this App.
Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.
Learn Machine Learning Offline Screenshots
Learn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline poster
Learn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline posterLearn Machine Learning Offline poster

About Learn Machine Learning Offline

Learn Machine learning app has been prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This tutorial caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of artificial intelligence and machine learning.

Who this machine learning free course is for:

Anyone interested in Machine Learning. Students who have at least high school knowledge in math and who want to start learn Machine Learning.

Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.

Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.

- Any students in college who want to start a career in Data Science.
- Any data analysts who want to level up in Machine Learning.
- Any people who are not satisfied with their job and who want to become a Data Scientist.
- Any people who want to create added value to their business by using powerful Machine Learning tools.

Learn Machine Learning for beginners guide

Machine Learning is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.

Learn Python programming

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL).
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What's New in the Latest Version 1.1

Last updated on Aug 22, 2021
Old Versions
- Offline Support
- New user Interface
- Added more Content
- Important Bug Fixes
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Version History
1.1
Aug 22, 2021
- Offline Support
- New user Interface
- Added more Content
- Important Bug Fixes

Learn Machine Learning Offline FAQ

Click here to learn how to download Learn Machine Learning Offline in restricted country or region.
Check the following list to see the minimum requirements of Learn Machine Learning Offline.
iPhone
iPad
Learn Machine Learning Offline supports English

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