All about machine learning techniques

Jul 05, 2023

200 likes | 210 Views

Machine learning techniques are a core component of artificial intelligence that enable machines to learn from data and make predictions or decisions based on that learning. There are two types of machine learning techniques: supervised learning and unsupervised learning. Supervised learning trains a model on known input and output data so that it can predict future outputs. Unsupervised learning finds hidden patterns or intrinsic structures in input data.

Share Presentation

Embed Code

Link

Christopher66

Download Presentation

All about machine learning techniques

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Electrical Load Forecasting Using Machine Learning Techniques

Electrical Load Forecasting Using Machine Learning Techniques. R. E. Abdel-Aal Center for Applied Physical Sciences (CAPS) Research Institute, KFUPM October 2002. Contents. Introduction to Load Forecasting: Scope, Need, Applications, Problem, and Techniques

1.2k views • 39 slides

Introduction to Machine Learning Techniques for HEP

Introduction to Machine Learning Techniques for HEP. Kamil Deja. Agenda. What is Machine Learning ? Supervised learning Classification Regression Unsupervised learning Clustering Frequent sets and Association Rules Dimensionality reduction How to use ML for quality assurance?

422 views • 28 slides

All About Learning Curves

This Presentation vs. the Paper. Due to limitations of time, this presentation can only scratch the surface of the information provided in the paper on which it is basedThe paper develops 22 useful learning curve equations, has 41 fully worked examples, and illustrates about a dozen useful learning

564 views • 43 slides

Frog classiﬁcation using machine learning techniques

Frog classiﬁcation using machine learning techniques. Chenn-Jung Huang a* , Yi-Ju Yang b , Dian-Xiu Yang a , You-Jia Chen a a Department of Computer and Information Science b Institute of Ecology and Environmental Education

339 views • 16 slides

Efficient Program Compilation through Machine Learning Techniques

Efficient Program Compilation through Machine Learning Techniques. Gennady Pekhimenko IBM Canada Angela Demke Brown University of Toronto. Motivation. My cool program . Compiler -O2. Unroll. Executable. Unroll. Inline. Inline. Peephole. Peephole. few seconds. DCE. DCE. Unroll.

317 views • 22 slides

Character Recognition Using Machine Learning Techniques

Character Recognition Using Machine Learning Techniques. Matthew Peterson Muktesh Khole Aseem Gogte Jeremy Kindseth. Problem Statement and Assumptions. “ Box” letters for analysis Identify alphanumeric symbols in documents or images (A-Z, a-z, 0-9). Image Character. A B C.

797 views • 12 slides

MACHINE LEARNING TECHNIQUES IN IMAGE PROCESSING

MACHINE LEARNING TECHNIQUES IN IMAGE PROCESSING. CSCI 8810 Course Project. By Kaan Tariman M.S. in Computer Science. Outline. Introduction to Machine Learning The example application Machine Learning Methods Decision Trees Artificial Neural Networks Instant Based Learning.

2.67k views • 24 slides

Data Mining Practical Machine Learning Tools and Techniques

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 3 of Data Mining by I. H. Witten, E. Frank and M. A. Hall. Input: Concepts, instances, attributes. Terminology What ’ s a concept? Classification, association, clustering, numeric prediction

526 views • 17 slides

ApMl (All Purpose Machine Learning) Toolkit

ApMl (All Purpose Machine Learning) Toolkit. David W. Miller and Helen Howell Semantic Web Final Project Spring 2002 Department of Computer Science University of Georgia www.cs.uga.edu/~miller/SemWeb www.cs.uga.edu/~helen/SemWeb/SemWeb.html. What Has Been Done.

533 views • 40 slides

Text Mining with Machine Learning Techniques

Text Mining with Machine Learning Techniques. Ping-Tsun Chang Intelligent Systems Laboratory Computer Science and Information Engineering National Taiwan University. Text Analysis. Summerization. Classification. Feature Selection. Language Identification. Clustering. Text Mining.

664 views • 34 slides

Reservoir Uncertainty Assessment Using Machine Learning Techniques

Conclusions. Abstract. Introduction. Results. Reservoir Uncertainty Assessment Using Machine Learning Techniques. Authors: Jincong He Department of Energy Resources Engineering. b. Artificial Neural Networks (ANN)

190 views • 1 slides

All about Metal Deformation & Machine Tools

Manufacturing of metal components involves application of metals as raw materials. When it comes to producing structural gadgets, a lot has to be done with work materials. Therefore, change in geometry of raw materials is highly required to obtain the precise shape or structure. The basic components that are received in the form of sheets or plates are deformed into the desired shape and there stays the change in geometry. Deformation is considered as the fundamentals of deforming segment. It is changing the shape of work material is followed in several industries including automobiles, aerospace, machine manufacturing, and many more. Metals remain the basic requirement as that provides the required strength to the product structure and manufacturing sectors prefer distortion of materials for other reasons also. Some of them are discussed below.

296 views • 11 slides

About Machine Learning Examples

Machine learning techniques are becoming increasingly more widespread in applications. We use apps based on machine learning every day, and one typical example is Apple’s Siri and for more info about machine learning examples visit our web page. http://itenterprise.co.uk/cool-machine-learning-examples-real-life/

271 views • 9 slides

4 Machine Learning Techniques with Python

This article is dedicated to Machine Learning techniques with Python, we will move over to algorithms pretty soon. But before we can begin focussing on techniques and algorithms, let’s find out if they’re the same thing. A technique is a way of solving a problem. This is quite generic as a term. But when we say we have an algorithm, we mean we have an input and we desire certain output from it. We have clearly defined what steps to follow to get there. We will go the lengths to say an algorithm may make use of multiple techniques to get to the output. Now that we have distinguished between the two, let’s find out more about Machine Learning techniques. Machine Learning Techniques with Python Python Machine Learning Techniques are 4 types, let’s discuss them: a. Machine Learning Regression The dictionary will tell you that to regress is to return to a former state- one that is often less developed. In books of statistics, you will find regression to be a measure of how one variable’s mean and corresponding values of other values relate to each other. But let’s talk about it how you will see it.

119 views • 8 slides

Service-Learning... it's all about the learning

Service-Learning... it's all about the learning. We won’t stop until…. each student loves learning and can’t get enough of it… all students feel truly connected to their learning, their school community and the world around them…

560 views • 54 slides

Machine Learning Techniques for Data Mining

Topics in Artificial Intelligence:. Machine Learning Techniques for Data Mining. B Semester 2000 Lecturer: Eibe Frank. Simplicity first. Simple algorithms often work surprisingly well Many different kinds of simple structure exist: One attribute might do all the work

391 views • 35 slides

MACHINE LEARNING TECHNIQUES IN BIO-INFORMATICS

MACHINE LEARNING TECHNIQUES IN BIO-INFORMATICS. Elena Marchiori IBIVU Vrije Universiteit Amsterdam. Summary. Machine Learning Supervised Learning: classification Unsupervised Learning: clustering. Machine Learning (ML).

801 views • 75 slides

All about BMI Machine

Body mass index, also known as BMI is used to measure the percentage relationship between the body weight and how much of it is fat taking height also into consideration. Read the blog for more details.

28 views • 1 slides

All About Online Learning

Technology, Learning, and Life All About Online Learning Explore the role of technology in education.

187 views • 15 slides

Demystifying Machine Learning Techniques: A Comprehensive Overview

Join Josephine Lester Broadstock as she provides an extensive overview of machine learning techniques, shedding light on the intricate world of algorithms and their applications in data analysis. Gain valuable insights into when and how to use these techniques effectively.

29 views • 7 slides

More Related