Mining Machine

Feb 27, 2023

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Mining equipment manufacturers in India u2013 Mining Machine, Continuous Miner, Highwall Miner, Underground Mining Equipment and Coal Mining Machinery for global customers. For more information: https://www.gainwellengineering.com/mining-landing-page<br>

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Mining Machine

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Mining Machine Mining equipment manufacturers in India – Mining Machine, Continuous Miner, Highwall Miner, Underground Mining Equipment and Coal Mining Machinery for global customers. For more information: https://www.gainwellengineering.com/mining-landing-page

Data Mining and Machine Learning

Data Mining and Machine Learning. Addison Euhus and Dan Weinberg. Introduction. Data Mining: Practical Machine Learning Tools and Techniques (Witten, Frank, Hall) What is Data Mining/Machine Learning? “Relationship Finder” Sorts through data… computer based for speed and efficiency

554 views • 11 slides

Data Mining (and machine learning)

Data Mining (and machine learning). A few important things in brief top10dm, - neural networks – overfitting --- SVM. http://is.gd/top10dm. C4.5 k -means SVMs A priori EM algorithm. 6. PageRank 7. Adaboost 8. k -NN 9. Naive- Bayes 10. CART. http://is.gd/top10dm. C4.5 k -means

566 views • 50 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 1: Overview of DM, and overview of the DM part of the DM&ML module Many of these slides are highly derivative of Nick Taylor’s slides used for this module in previous years. Overview of My Lectures.

405 views • 26 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 4: The A Priori Algorithm. Overview of My Lectures. All at: http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html 25/9 Overview of DM (and of these 8 lectures)

570 views • 42 slides

Data Mining and Machine Learning

Data Mining and Machine Learning. Lecture 1: Why data is useful, and overview of DMML:. Overview of My Lectures. http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html. Module assessment. 100% by coursework Three main items of coursework, CW 1: 30% CW 2: 40% CW 3: 30%

594 views • 43 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 7: Feature Selection. Today. Finishing correlation/regression: Feature Selection: Coursework 2. Remember how to calculate r. If we have pairs of (x,y) values, Pearson’s r is:. Interpretation of this should be obvious (?).

811 views • 69 slides

Data Mining (and machine learning)

Data Mining (and machine learning). ROC curves Rule Induction Basics of Text Mining. Two classes is a common and special case. Two classes is a common and special case. Medical applications: cancer, or not? Computer Vision applications: landmine, or not?

890 views • 72 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 3: Basic Statistics and Coursework 1. Communities and Crime. Here is an interesting dataset. -- state: US state (by number) - -- county: numeric code for county -- community: numeric code for community -

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Mining Machine Operator

Mining Machine Operator. By Isaac Sobek. Job Description. Mine Minerals Survey Machinery Run Machinery. Growth Potential. Declining Few Jobs More Machines Dangerous. Salary. Around $49,608/year $23.85/hour. The End.

216 views • 5 slides

Support Vector Machine Data Mining

Support Vector Machine Data Mining. Olvi L. Mangasarian with Glenn M. Fung, Jude W. Shavlik & Collaborators at ExonHit – Paris. Data Mining Institute University of Wisconsin - Madison. What is a Support Vector Machine?. An optimally defined surface

752 views • 28 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 8: Feature Selection. Today. Feature Selection: What Why How. Feature Selection: What. You have some data, and you want to use it to build a classifier, so that you can predict something (e.g. likelihood of cancer).

704 views • 58 slides

Machine Learning & Data Mining

Jinbo Bi. Computer Science and Engineering Department University of Connecticut Email: jinbo@engr.uconn.edu. Machine Learning & Data Mining. Human Behavior Analysis. Genomics of Complex Disease s. Clinical Decision Support. Genetics of C omplex Disease s. Causes

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Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 5: Clustering. Today. (unsupervised) Clustering What and why A good first step towards understanding your data Discover patterns and structure in data Which then guides further data mining Helps to spot problems and outliers

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Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 6: Confusion, Correlation and Regression. Today. A note on ‘accuracy’: Confusion matrices A bit more basic statistics: Correlation Undestanding whether two fields of the data are related Can you predict one from the other?

599 views • 50 slides

Data Mining and Machine Learning

Data Mining and Machine Learning. Lecture 1: Why data is useful, and overview of DMML:. Overview of My Lectures. http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html. Overview of My Lectures. http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html.

529 views • 46 slides

Data Mining and Machine Learning

Data Mining and Machine Learning. Naive Bayes David Corne, HWU dwcorne@gmail.com. A very simple dataset – one field / one class. A very simple dataset – one field / one class. A new patient has a blood test – his P34 level is HIGH. what is our best guess for prostate cancer?.

465 views • 32 slides

Data Mining (and machine learning)

528 views • 51 slides

Data Mining (and machine learning)

837 views • 82 slides

Data mining and Machine Learning

Data mining and Machine Learning. Sunita Sarawagi Sunita@iitb.ac.in. Data Mining. Data mining is the process of semi-automatically analyzing large databases to find useful patterns Prediction based on past history

889 views • 82 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 3: Basic Statistics for data miners. Overview of My Lectures. All at: http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html 25/9 Overview of DM (and of these 8 lectures)

284 views • 27 slides

Data Mining (and machine learning)

Data Mining (and machine learning). Lecture 2: Some common data processing tasks. Today. About classification A simple classification method (1-NN) Normalisation of instances and fields Discretization of fields Coursework B. Some notation. A dataset has N records {R 1 ,R 2 ,…,R N },

833 views • 80 slides

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Presentation Transcript

Data Mining and Machine Learning

Data Mining (and machine learning)

Data Mining (and machine learning)

Data Mining (and machine learning)

Data Mining and Machine Learning

Data Mining (and machine learning)

Data Mining (and machine learning)

Data Mining (and machine learning)

Mining Machine Operator

Support Vector Machine Data Mining

Data Mining (and machine learning)

Machine Learning &amp; Data Mining

Data Mining (and machine learning)

Data Mining (and machine learning)

Data Mining and Machine Learning

Data Mining and Machine Learning

Data Mining (and machine learning)

Data Mining (and machine learning)

Data mining and Machine Learning

Data Mining (and machine learning)

Data Mining (and machine learning)

Mining Machine

Machine Learning & Data Mining