https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
https://github.com/intscription/machine-learning
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 6 months ago
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Machine Learning and it's advance concepts
- Host: GitHub
- URL: https://github.com/intscription/machine-learning
- Owner: IntScription
- Created: 2023-07-04T04:16:20.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-26T07:47:26.000Z (over 1 year ago)
- Last Synced: 2025-06-07T10:07:43.634Z (7 months ago)
- Topics: adaboost, numpy, pandas, pca-analysis, pipeline, random-forest, scikit-learn, svm
- Language: Jupyter Notebook
- Homepage:
- Size: 104 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Support: Support Vector Machine/svm.ipynb
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README
# What is Machine Learning ?
Machine learning (ML) is a subdomain of artificial intelligence (AI) that focuses on developing systems that learn—or improve performance—based on the data they ingest. Artificial intelligence is a broad word that refers to systems or machines that resemble human intelligence. Machine learning and AI are frequently discussed together, and the terms are occasionally used interchangeably, although they do not signify the same thing. A crucial distinction is that, while all machine learning is AI, not all AI is machine learning.
[Machine Learning](https://developers.google.com/machine-learning/crash-course/ml-intro) is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
