In this article I will list different outlier detection techniques which I have came across.
But first let us know about outliers.
An outlier is an observation that is unlike the other observations. Outliers may result due to varying reasons, such as:
To keep or remove an outlier depends problem to problem. …
AI2 ARC Dataset.
Datasets are increasingly driving progress in AI, resulting in impressive solutions to several question-answering (QA) tasks. However, many of these datasets focused on retrieval-style tasks, where surface-level cues alone were usually sufficient to identify an answer. This has not encouraged progress on questions requiring reasoning, use of commonsense knowledge, or other advanced methods for deeper text comprehension. The challenge presented here, called ARC (AI2 Reasoning Challenge), aims to address this limitation by posing questions that are hard to answer with simple baselines.
Think you have solved…
This is my first medium story. Hope you find it interesting.
The demand for a product or service keeps changing from time to time. No business can improve its financial performance without estimating customer demand and future sales of products/services accurately. Sales forecasting refers to the process of estimating demand for or sales of a particular product over a specific period of time. In this article I will show you how machine learning can be used to predict sales on a real-world business problem…
Data Scientist. Sharing my knowledge using articles.