Design
Clustering points into two clusters
AskAI
This program will take in a dataset of points and classify them into two clusters.
Designing a Neural Network to Recognize Handwritten Digits
AskAI
This technical problem deals with designing a neural network that can learn to recognize handwritten digits. The input is a set of images of handwritten digits, each of which is labeled with the correct digit. The output of the neural network should be the correct label for the input digit.
Topic Categorization of News Articles
AskAI
A machine learning algorithm is being implemented to automatically categorize news articles by topic. For example, an article about Trump and the coronavirus would be categorized as politics.
Linear classifier weights from training data
AskAI
The problem is to find a linear classifier that can separate the two classes of data points given in the input. The output is a list of weights that can be used to classify new data points.
Design a K-nearest neighbors classifier.
AskAI
The K-nearest neighbors classifier is an algorithm that takes a set of points in 2D space as input and outputs a set of labels for each point, indicating which class each point belongs to.
Automatic Tree Type Identification in Forests
AskAI
The goal of this problem is to design a machine learning algorithm that can automatically identify different types of trees in a forest. This is a difficult problem, as there are many different types of trees , and each type of tree has different characteristics. The machine learning algorithm will need to be able to learn from data, and be able to generalize to new data.
Implement a K-Nearest Neighbor Algorithm
AskAI
The K-Nearest Neighbor algorithm is a simple machine learning algorithm that can be used for both classification and regression tasks. The algorithm works by finding the K nearest neighbors to a new data point , and then using those neighbors to predict the label for the new data point.
Distinguishing between Ellipses and Circles
AskAI
This problem asks you to design a machine learning algorithm to distinguish between two types of objects: ellipses and circles. The inputs to the algorithm are pairs of (x,y) coordinates . The output of the algorithm should be 1 if the point is on object A and 0 if the point is on object B.
