Ad
related to: online machine learning course freeHottest Online Classes for Professionals - Inc.com
- Python for Everybody
Start coding in python with 5
beginner-friendly online courses!
- Coursera - Join for Free
Online courses from the best
universities around the world!
- Top Online MS Programs
From the world's best universities
Apply on Coursera today!
- Master Machine Learning
Earn a Certificate from Stanford!
Become a Machine Learning expert.
- Python for Everybody
Search results
Results from the WOW.Com Content Network
e. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1] Quick progress in the field of deep learning, beginning in 2010s, allowed neural networks to ...
Ng is a professorat Stanford University departments of Computer Science and electrical engineering. He served as the director of the Stanford Artificial Intelligence Laboratory(SAIL), where he taught students and undertook research related to data mining, big data, and machine learning. His machine learning course CS229 at Stanford is the most ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
The following outline is provided as an overview of and topical guide to machine learning: Machine learning – a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. [ 1 ] In 1959, Arthur Samuel defined machine learning as a "field of ...
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [ 3 ][ 4 ] It is one of the two most popular deep learning libraries alongside PyTorch.
Coursera Inc. (/ kərˈsɛrə /) is an American global massive open online course provider. It was founded in 2012 [ 2 ][ 3 ] by Stanford University computer science professors Andrew Ng and Daphne Koller. [ 4 ] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.