Download O’Reilly Learning Path: Machine Learning Tutorial Series, With the growing prominence of data science and its uses across all types of business, it’s the perfect time to start applying machine learning. In this Learning Path, you’ll master everything you need to transform data into action. Start with basic techniques and move on to coding your own machine learning algorithms.
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.
The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to detect patterns in data and adjust program actions accordingly. Machine learning algorithms are often categorized as being supervised or unsupervised. Supervised algorithms can apply what has been learned in the past to new data. Unsupervised algorithms can draw inferences from datasets.
Download O’Reilly Learning Path: Machine Learning Tutorial Series
- Teacher: Ben Lorica
- Skill Level: Beginner, intermediate, Advanced
- Duration: 23h 52m
- Size: 22423 MB
Table of Contents:
– An Introduction to Machine Learning with Web Data
– Advanced Machine Learning
– Deep Learning
– Learning Data Structures and Algorithms
– Hardcore Data Science NYC 2014
– Hardcore Data Science California 2015