<html><head></head><body><p>In the previous lesson, we solved an example of linear regression for machine learning. We used linear regression to solve a stereo vision depth estimation problem for an Autonomous underwater vehicle (AUV). We also implemented vectorization using Python.</p><div><figure class="image"><img src="https://minio.news.mecharithm.com:443/mecharithm/linear_regression_for_machine_learning_example_fd0aafb659.png" alt="linear regression for machine learning example" width="501px"><figcaption>a stereo vision depth estimation problem for an AUV</figcaption></figure></div><p>The purpose of this lesson is to introduce binary classification and logistic regression for machine learning. We will learn how to classify an object based on some training examples learned before. We will implement this in Python in the next lesson.</p><div><figure class="image"><img src="https://minio.news.mecharithm.com:443/mecharithm/Binary_Classification_and_Logistic_Regression_Machine_Learning_2aaf79016a.png" alt="Binary Classification and Logistic Regression Machine Learning" width="500px"></figure></div><p>Watch the video version of the 6th lesson:</p><figure class="media"><span></span><iframe src="https://www.youtube.com/embed/hrq2Q_l8sic?autoplay=0" allow="autoplay" allowfullscreen="" title="video"></iframe></figure><p></p><p>What application did the instructor mention for binary classification and logistic regression machine learning in robotics? </p></body></html>

Machine Learning(ML)course

In the previous lesson, we solved an example of linear regression for machine learning. We used linear regression to solve a stereo vision depth estimation problem for an Autonomous underwater vehicle (AUV). We also implemented vectorization using Python. The purpose of this lesson is to introduce binary classification and logistic regression for machine learning. We […]


Binary Classification and Logistic Regression in Machine Learning