Opened 8 months ago

Closed 8 months ago

Last modified 5 weeks ago

#7330 closed defect (invalid)

spam

Reported by: aliyamanasa Assignee:
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Description (last modified by mapx)

spam

Change History (14)

comment:1 in reply to: ↑ description Changed 8 months ago by aliyamanasa

Replying to aliyamanasa:

Stacking:
Combining predictive models to make them collectively more efficient is an idea that, in large part, came to data scientists. Packaging and reinforcement approaches are often presented. They are based on the principle of applying the same learning algorithm in different data variants (for example, weighting observations) to obtain a set of classifiers with satisfactory heterogeneity.

The decomposition of bias varies essentially decomposes the learning error of any algorithm by adding the bias, variance and some irreducible error due to noise in the underlying data set. Essentially, if you make the model more complex and add more variables, you will lose the prejudice, but you will gain some variations. To obtain the ideally reduced amount of errors, you will have to compensate for the bias and variation. You do not want high tendency or high variation in your model. Many of the modern technologies are based on computational models known as artificial neural networks. Deep learning is becoming especially exciting now, as we have more data and larger neural networks to work with.

Challenges:

In addition, the performance of neural networks improves as they grow and work with more and more data, unlike other machine learning algorithms that can reach a level after a point. It goes without saying that we face many challenges in the analysis and study. of such a large volume of data with traditional data processing tools. To overcome these challenges, some great date solutions were introduced, such as Hadoop. These great date tools really helped to make the big date applications. More and more organizations, large and small, are taking advantage of the benefits provided by large data applications.

https://www.besanttechnologies.com/training-courses/data-science-training-in-chennai

Version 0, edited 8 months ago by aliyamanasa (next)

comment:2 Changed 8 months ago by mapx

  • Description modified (diff)
  • Resolution set to invalid
  • Status changed from new to closed
  • Summary changed from Data Science Training in Chennai to spam

comment:3 Changed 8 months ago by Elegantitservices

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:4 Changed 8 months ago by Tecmax

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comment:5 Changed 8 months ago by Marsmount

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comment:6 Changed 7 months ago by Idigitalacademy

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:7 Changed 7 months ago by Riainstitute

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comment:8 Changed 7 months ago by Shashipestcontrol

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:9 Changed 7 months ago by Ecaretechnologies

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:10 Changed 6 months ago by DataMinax

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:11 Changed 3 months ago by Elegantitservices

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:12 Changed 3 months ago by Team4loan

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:13 Changed 3 months ago by Elegantitservices

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Last edited 5 weeks ago by kzar (previous) (diff)

comment:14 Changed 2 months ago by Elegantitservices

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Last edited 5 weeks ago by kzar (previous) (diff)
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