Module 4: Model Selection and Evaluation | PPT

This is a key tenet of machine learning ethics: transparency. 16. OLS Regression: Model development and evaluation 17. As a responsible machine learning practitioner, Dr. Delta should explain and justify the algorithm she used, as well as the limits of the conclusions she was able to draw. Without transparency, there can't be good machine ...

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Data Mining and Machine Learning | PPT

7. DATA MINING ILOs Upon completion of the course, the students will: be able to handle a problem in a wide range of business cases and scientific disciplines, assess whether and how the problem is solvable by data mining, obtain and process the necessary data, perform exploratory analysis, create visualizations, full report, and executive summary for decision …

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FIELD MAINTENANCE OF SURFACE MACHINERY

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Production & Enrichment of Uranium | PPT

Uranium is a naturally occurring radioactive metal that is mined from the earth's crust. The nuclear fuel cycle involves mining uranium ore, milling it into yellowcake, converting yellowcake into uranium hexafluoride gas, enriching the gas to increase the percentage of fissile uranium-235 isotope, fabricating enriched uranium into fuel rods, using the rods in nuclear …

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Mining Equipment

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Hierarchical Clustering | PPT

6. Hierarchical Clustering Algorithms • Two main types of hierarchical clustering – Agglomerative: • Start with the points as individual clusters • At each step, merge the closest pair of clusters until only one cluster (or k clusters) left – Divisive: • Start with one, all-inclusive cluster • At each step, split a cluster until each cluster contains a point (or there are k ...

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Chapter 16: Mining and Mineral Resources

A salt pan worker in a salt evaporation pond in Tamil Nadu, India Subsurface Mining: Room-and-Pillar Mining "Rooms" are cut into seams of coal (or salt or iron) Pillars of ore are left standing to support the ceiling When all possible ore is extracted from the rooms – often the pillars are then removed and the land above collapses ...

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Support Vector Machines ( SVM ) | PPT

23. Cons : It doesn't perform well, when we have large data set because the required training time is higher It also doesn't perform very well, when the data set has more noise i.e. target classes are overlapping SVM doesn't directly provide probability estimates, these are calculated using an expensive five-fold cross-validation.

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21 Best Sand Mining-Themed Templates

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(PPT) Mining's Environmental Impact and Mitigation

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Powerpoint Templates and Google slides for Mining Industry

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Safety Training Videos and PowerPoint Presentations

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SAP PM Plant Maintenance Overview | PPT

7. What is SAP Plant Maintenance • Plant Maintenance is a function or an essential support system in an industrial process.This system helps and keep all the machinery and infrastructure into prime condition or ideal in terms of quality and operational. SAP Plant Maintenance comprises the following activities: • Inspection Determining the actual condition …

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Presentation on supervised learning | PPT

4. Machine learning and our focus Like human learning from past experiences. A computer does not have "experiences". A computer system learns from data, which represent some "past experiences" of an application domain. Our focus: learn a target function that can be used to predict the values of a discrete class attribute, e.g., approve or not-approved, and high …

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Aggregate Crushing Equipment | PPT

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Data Mining: an Introduction | PPT

Data Mining and Machine Learning in a nutshell An Introduction to Data Mining 52 51. K-MEANS • Given a set of observations (x1, x2, …, xn), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k sets (k ≤ n) S = {S1, S2, …, Sk} so as to minimize the ...

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Milling machine | PPT

10. COMMON USED MILLING MACHINES KNEE-TYPE: Knee-type mills are characterized by a vertically adjustable worktable resting on a saddle which is supported by a knee. The knee is a massive casting that rides vertically on the milling machine column and can be clamped rigidly to the column in a position where the milling head and milling machine …

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