Data Analyst job is to explore the data, interpret it and finally convert it to information. This information will then help decision makers to take business related decisions. As a Data Analyst your roles and responsibilities includes starting from data collection, interpretation, visualization, dashboard building and finally story telling around the information derived from data.
Let me start with simple question. Can we compare Mango and Apple? Both have different features in terms of tastes, sweetness, health benefits etc. So comparison can be performed between similar entities else it will be biased. Same logic applies to Machine Learning as well. Feature Scaling in Machine Learning brings features to the same scale before we apply any comparison or model building. Normalization and Standardization are the two frequently used techniques of Feature Scaling in Machine Learning.
In this video post I have explained about the below ML FAQ:
1. What is Gini
2. What is Gini Index
3. How to calculate Gini and Gini Index
4. How Gini Index helps to decide the Parent and Decision nodes in Decision Tree
In this video I will be explaining about the following ML questions:
1. How to Interpret Decision Tree
2. How splitting happens in the decision tree.
3. What is Entropy?
4. What in Information Gain?
5. How Information gain helps to decide the parent node and further node split?
When are you looking for the best way to express yourself without speaking, which technique comes to your mind? Yes, that’s right, it is an illustration. The illustration is one of the best ways to express a feeling or describe something. This technique has been started by our ancestors in the primitive age. It is a medium of explaining things easily so that anyone can understand. There are various types of comics you will find on the book store and online. Even you can read these tremendous African graphic novels. However, along with making comic stories and anime, there are other benefits of it. In technology, the comic is one of the top tools to teach and explain digital innovations and devices. In this article, you will find 7 fun comic illustrations that best describe machine learning.
The term Machine Learning was given by Arthur Samuel in the year 1959 and he defined it as the “field of study that gives computers the ability to learn without being explicitly programmed”. Now Machine Learning is helping organizations to take data driven decisions rather completely relying on the experience driven decisions.
Further in this article, we will discuss the benefits of Machine Learning in the development process of a mobile app and everything which revolves around Machine Learning and its use in developing a mobile app.