ML and R
1 like555 views
Machine learning (ML) is a type of artificial intelligence based on computational learning theory and algorithms that allow systems to learn from data and make predictions without being explicitly programmed. ML uses features to quantitatively describe items in samples of data like images or files to create feature vectors, and it relies on training sets of data to discover predictive relationships and evolve models. Popular tools for ML include R and Python's Scikit-Learn.
1 of 20
Download to read offline
More Related Content
What's hot (16)
Ad
Similar to ML and R (20)
Ad
More from Diego Pacheco (20)
Recently uploaded (20)
ML and R
- 1. @diego_pacheco Software Architect | Agile Coach Machine Learning(ML) and R
- 2. Machine Learning(ML) IA – Computational Learning Theory Algorithms to learn and make predictions Based on Data Based on a Model Ultra Related to Statistics Lots of tools – Most popular is R and Python Scikit-Learn Depends on the Domain Expert
- 3. Use Cases
- 4. Terminology Features a group of traits to describe a item – Quantitative Samples picture, file, video, csv file, etc.. Feature Vector n dimensional vector -> numerical features to represent a object.
- 5. Terminology Feature Extraction Preparation of the feature vector Transformations on the data Few Dimensions Training / Evolution Set Set of data to discovery predictive relationships
- 6. Training
- 7. Big Picture
- 20. @diego_pacheco Software Architect | Agile Coach Machine Learning(ML) and R Thank You! Obrigado!