In this post, I will share 16 tips that I think will help you better understand the algorithms. My goal is not to explain how algorithms work in detail. I will rather give some tips or details about them. 16 Tips about Machine Learning Algorithms
You have probably heard of the Swiss army knife. If not, just take a look at the image below. It contains many blades and tools. Each one is specialized at a particular task. In some cases, different blades can do the same task but with a different degree of performance.
I think of the machine learning algorithms as Swiss army knife. There are many different algorithms. Certain tasks require to use a particular algorithm whereas some tasks can be done with many different algorithms. The performance might change depending on the characteristics of the task and data.
In this post, I will share 16 tips that I think will help you better understand the algorithms. My goal is not to explain how algorithms work in detail. I will rather give some tips or details about them.
Some tips will be more general and not be focused on a particular algorithm. For instance, log loss is a cost function that is related to all classification algorithm.
I will assume you have a basic understanding of the algorithm. Even if you don’t, you can pick some details that will help you later on.
C parameter of SVM adds a penalty for each misclassified data point. If c is small, penalty for a misclassified point is low so a decision boundary with a large margin is chosen at the expense of a greater number of misclassifications.
If c is large, SVM tries to minimize the number of misclassified examples due to high penalty which results in a decision boundary with a smaller margin. Penalty is not same for all misclassified examples. It is directly proportional to the distance to decision boundary.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
Enroll now at CETPA, the best Institute in India for Artificial Intelligence Online Training Course and Certification for students & working professionals & avail 50% instant discount.
How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!
In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.