We thank the reviewers for their work and for the positive evaluation of our paper. R4), relevant to the conference (R2, R4), and is generally on an interesting topic (R1, R2). Thus, we also provided guarantees for SO without strong convexity. Adding a small amount of regularization is also a common practice for numerical stability. Reviewer 2. We appreciate your support of our paper.

We thank the reviewers for their work and for the positive evaluation of our paper. R4), relevant to the conference (R2, R4), and is generally on an interesting topic (R1, R2). Thus, we also provided guarantees for SO without strong convexity. Adding a small amount of regularization is also a common practice for numerical stability. Reviewer 2. We appreciate your support of our paper.

Data Visualization techniques involve the generation of graphical or pictorial representation of DATA, form which leads you to understand the insight of a given data set. This visualisation technique aims to identify the Patterns, Trends, Correlations, and Outliers of data sets. Data visualization techniques most important part of Data Science, There won't be any doubt about it. We will discuss this in detail with help of Python packages and how it helps during the Data Science process flow. This is a very interesting topic for every Data Scientist and Data Analyst.

Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception. From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. And this would not have been possible without leveraging the power of the community. And there is no better gift for an organization that has a community eager to teach and learn from each other. So here is the list of top Guest Authors for the year ending 2021.

Hi there, is everything cool? Edited Nearest Neighbors Rule for undersampling involves using K 3 nearest neighbors to the data points that are misclassified and that are then removed before a K 1 classification rule is applied. This approach of resampling and classification was first proposed by Dennis Wilson in his 1972 paper titled "Asymptotic Properties of Nearest Neighbor Rules Using Edited Data." When used as an undersampling procedure, the rule can be applied to each example in the majority class, allowing those examples that are misclassified as belonging to the minority class to be removed and those correctly classified to remain. Let's see how can we apply the ENN And just like CNN, the ENN gives the best results when combined with another oversampling method like SMOTE.

Robotics and artificial intelligence are not the same. However, they do get tangled when making a robot that has "thinking" abilities. When you first think about robotics and artificial intelligence, you might be under the impression that these two things are the same. However, when you take a dipper dive into these two topics, you will come to a totally different realization. Not to say that they have no connecting points whatsoever, but they are not the same.

The answer for this question is NO, the idea of neural networks is old. The basic idea was invented in 1943 and it was called threshold logic. Yes, this is the problem, "threshold logic"? Its name is very practical, describes the mechanism of the model, but the problem is that it sounds too scientific, you cannot create good advertisements for that. This was the first attempt, it was a primitive version of the current neural networks, but this was the first step.