3
votes
What are the differences between machine learning, pattern recognition and data mining?
Terms in a field are sometimes defined unambiguously. For instance, we know what convergence means when communicating about machine learning algorithms in academic publications because it has a formal ...
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2
votes
Accepted
How do I know if my dataset is ready for a machine learning model?
Before jumping to modeling, there are a few tasks a data scientist (or ML/AI practitioner) must do:
Ideation (or hypothesizing): Before applying any modeling approach, we need to ask the right ...
2
votes
Accepted
What data formats/pipelining are best to store and wrangle data which contains both text and float vectors?
There are different possible ways to handle huge datasets:
If the data is too big to be fully uploaded to RAM, you can iterate over it in Pandas. You can find a brief explanation in the article ...
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2
votes
Accepted
How to define the "Pre-Processing" in machine learning?
Data preprocessing consists of all those techniques used to generate the final datasets (with an appropriate size, structure, and format) for the machine learning algorithms or models. Data ...
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1
vote
Accepted
Mining repeated subsequences in a given sequence
You can do this similar to the BIDE approach. It can be done like this:
...
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Algorithm for seasonal trends
As you are handling with time series data and you want to find trends; A good approach should be consider applying Holt-Winter's seasonal method. This algorithm handle seasonal, trend and smooth ...
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1
vote
What are the differences between machine learning, pattern recognition and data mining?
In data mining, we can use machine learning (ML) (with the help of unsupervised learning algorithms) to recognize patterns.
Pattern recognition is a process of recognizing patterns such as images or ...
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What are the differences between machine learning, pattern recognition and data mining?
Machine learning is a form of pattern recognition. Machine learning is basically the idea of training machines to recognize patterns and apply it to particle problems. Data science is the science of ...
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