Dataman in AI

Q1. What is overfitting in machine learning, and why is it a problem?

Q1. What is supervised learning, and can you name some common algorithms?

Q1. What inspired the development of neural networks in artificial intelligence?

Q1: What is the primary goal of feature engineering in anomaly detection in response to evolving anomalous patterns?

Q1. What is the Cluster-Based Local Outlier Factor (CBLOF) and how does it work?

Q1. What is the Local Outlier Factor (LOF) algorithm?

Q1. What is the k-nearest Neighbors (KNN) algorithm?

Q1 How does GMM differ from K-means in terms of cluster assignment

Q1. What is the primary use case for the One-Class Support Vector Machine (OC-SVM)?

Q1. What is Principal Component Analysis (PCA) and why is it used?

Q1. What is the fundamental intuition behind the Isolation Forest algorithm?

Q1. What are parametric and non-parametric distributions? Provide an example of each.

Q1. What is the Histogram-Based Outlier Score (HBOS)?

Q1. What is an anomaly in data analysis?

First, we would like to express our appreciation for you to choose this book as your course textbook. We trust this book can assist you…

In supervised learning, one of the most challenging issues practitioners encounter is the problem of extreme class imbalance. Class…

In the previous chapter, we have covered several key machine learning models including Random Forests, Gradient Boosting Machine (GBM)…

Supervised Learning is a type of machine learning where the algorithm is trained on labeled data. Linear regressions and decision trees…

Neural networks, also known as Deep Learning, have revolutionized the field of artificial intelligence and machine learning. They have…

In Chapter 1, we’ve mentioned the importance of feature engineering to discover new patterns, and the use of unsupervised learning…

Following our exploration of the Local Outlier Factor (LOF) in the previous Chapter, we now turn our attention to the Cluster-Based Local…

One day I was sitting on a rock on a beach and enjoying the sunset. There was a group of seagulls perched on a nearby rock. There was a…

The k-Nearest Neighbors algorithm, commonly known as KNN, is a simple and widely used algorithm in classification models, regressions, and…

One of the most enchanting aspects of a camping trip for me is stargazing on a calm evening. As I gaze up at the night sky, I’m filled…