Machine Learning
Summary #
tags :
It’s the process of using mathematical models of data to help a computer learn without direct instruction. This enables a computer system to continue learning and improving on its own, based on experience.
- Machine learning is an application of AI.
Difference between Artificial Intelligence and Machine Learning? #
- An “intelligent” computer uses AI to think like a human and perform tasks on its own.
Machine learning is how a computer system develops its intelligence. - While AI and machine learning are very closely connected, they’re not the same.
- Machine learning is considered a subset of AI.
- Machines can achieve AI capability by means other than ML
- Machine learning is considered a subset of AI.
Difference between ML, NLP, CV #
Roles and responsibilities of people working in AI/ML #

Links to this note
- opensearch-neural-search
- opensearch-ml
- OpenSearch
- Celery
- transformers
- layout-parser
- paperless-ngx
- Invoice and OCR
- Autonomous Database
- Sparse Vector
- Dense Vector
- Object Detection
- YOLO
- Data Science in OCI
- AI vs ML vs Deep Learning
- Embedding
- airtime rewards
- Analytics and AI Services in OCI
- Data Lake
- MySQL HeatWave
- Deep Learning
- Pytorch
- ALPR
- Kaggle