Introduction to Machine Learning with Python

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Authors Sreejith S, Jaganadh G
Level Intermediate
Topic None of the above
Tags Machine Learning, Python, Collaborative Filtering, Document Classification
Summary

The proposed talk is an introduction to machine learning with Python. Machine Learning(ML) is a subfield of Artificial Intelligence (AI). ML is mainly concerned about algorithm that helps computers to learn. The talk includes practical implementation of different machine learning algorithms.

Outline

Machine Learning is a subfield of Artificial Intelligence. It helps computers to learn and act like human beings, with the help of algorithms and data. With a given set of data an ML algorithm learns different properties of the data and it infers the properties of data that it may encounter in future.

In the proposed talk following algorithms will be discussed with practical, real-words examples and pure Python code. 1) Collaborative filtering 2) Document Classification 3) Searching and Ranking 4) Demonstration 5) Q&A

Notes
Profile of the authors

Sreejith S is working as Software Engineer in the R&D division of 365MEDIA Coimbatore. He completed his masters degree in Computer Science from MG University Kerala. His areas of interest is Natural Language Processing and Machine Learning

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Machine_Learning_Python.odp 296.1 KB september 19, 2010 Machine learning Concepts

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