Post related to:
MACHINE LEARNING
What Is Unsupervised Learning? How Does It Work?
Unsupervised learning is a subfield of machine learning which deals with algorithms that learn from data that has not been explicitly labeled. This type of learning is typically employed when the number of training instances is too large or costly to manually label. Unsupervised methods can be used for classification, regression, and clustering tasks. The advantage of unsupervised learning is that it can identify hidden patterns in data which may not be discernible through manual inspection. Unsupervised learning is a subfield of machine learning which deals with algorithms that learn from data that has not been explicitly labeled. This type of learning is typically employed when the number of training instances is too large or costly to manually label. Unsupervised …
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Data Pre-processing Process for ML Models
Data preprocessing, on simple way can be said as a transformation technique that transform the raw from of data to suitable format for building & training machine learning models. It is the most cruicial steps for enhancing the quality of data so that the extraction of meaningful information/Insights is possible. During this step, we will make sure the data is in required format for the ML Model and this formated data is free from noise, complete and consistent. Now I will list out why we cant use raw data for ML model: Raw data are highly vulnerable to missing, noise, outliers and inconsistent because of their huge size, multiple resources and their gathering methods. Poor quality data will negatively effect on ML model …
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Components of Machine learning
We learnt the defination of machine learning and it's conceptual overview in previous post. We wil now move on to the components of machine learning. Components for machine learning are represented in different forms from different source. I will be disscusing the basic components that constitute the Machine learning approach. Data: I don't have to say much about data, right? We expirence it in each moment of life. The blog you are reading, Tea/coffee in your hand, thoughts inside your brain, even counter arguments you are having against this post all represents common information of our daily life. These are the one form of data, may be these examples are not intresting for you. let's pick up the unusaul one, your …
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Introduction of machine learning
I will begin the machine learning series with this blog. First we will walk through basic concepts for building the foundation and we will walk with implementation code. We can found lots of content defining the machine learning which are complicated to grasp for the beginners. I will try to elaborate in more understandable and simplified form. Defination: let's start with the simple concept of human learning process. let's observe the following picture and say what it is. You can say apple, right? Sounds silly question and it may be. But do you know how you are able to recognise this as apple? It 's simply because you have been taught to pronuce this as an apple. In other …
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