{"id":25550040,"date":"2022-12-27T15:03:44","date_gmt":"2022-12-27T09:33:44","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25550040"},"modified":"2023-05-24T13:19:00","modified_gmt":"2023-05-24T07:49:00","slug":"understanding-machine-learning-basics-a-simple-guide","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/understanding-machine-learning-basics-a-simple-guide\/","title":{"rendered":"Understanding Machine Learning Basics: A Simple Guide"},"content":{"rendered":"

What is machine learning, and why is it important in today’s world? Today, we’ll speak about machine learning and how it influences daily life. Is this a formal question?<\/p>\n

Things are a\u00a0lot more relevant now in terms of machine learning.<\/p>\n

How does machine learning work? The phrase itself implies that a computer can learn on its own. You did expect this, didn’t you?<\/p>\n

But can you predict when the machine will learn on its own?<\/p>\n

When given the correct data, machines can learn and forecast for themselves. Woohoo!<\/p>\n

So, \u201cwhat do you mean by given\u00a0the correct\u00a0data\u201d? How do I tackle this with so much info at my fingertips?<\/p>\n

Consider the various types of data we have now; is it something we can count on our fingers?<\/p>\n

No, no, no!<\/p>\n

One of the causes is how it is being generated by the evolution of social media.<\/p>\n

The data can be video, audio, rows, and tables.\u00a0We can categorize\u00a0them as structured, semi-structured, or unstructured data. So, now that the data is ready, let’s see how the prediction performed.<\/p>\n

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Looking for a Data science and Machine learning Career? Explore Here!!<\/a><\/strong><\/p>\n

How Does Machine Learning Works!<\/strong><\/h2>\n

For the prediction, the machine must identify data patterns. This is possible with the use of Exploratory Data Analysis (EDA).<\/strong> However, direct EDA cannot be used.<\/p>\n

Why is it meaningless if I have data and can make a direct prediction?<\/p>\n

No, because this is not data that can be counted. This data is massive, and you’ve probably heard the term “Big Data”<\/strong> before.<\/p>\n

So, the data should be noisy, and if I put all of my predictions into it, it could lead to misclassification<\/strong>.<\/p>\n

This\u00a0will have a direct impact on the model you’ve created, so what can we do right now?<\/p>\n

Data preprocessing<\/strong>…cool, that’s right?<\/p>\n

So today you will study new terms that will give you a better understanding of machine learning basics.<\/p>\n

Why is data preprocessing referred to be the model’s most important step?<\/p>\n

When you believe the data has 60\u00a0% noise, the ability to acquire the pattern suffers. Then there’s Data Preprocessing.<\/p>\n

We can do all the preprocessing or cleaning<\/strong> in this stage, which will result in better data.<\/p>\n

Now, we have data that has been preprocessed, and the next step is EDA<\/strong>.<\/p>\n

We can discover data properties using EDA. What models will fit the predictions?<\/p>\n

The model can be developed based on the characteristics of data that can be identified using EDA.<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Looking for a Data science and Machine learning Career? Explore Here!!<\/a><\/strong><\/p>\n

Types of Machine Learning<\/strong><\/h3>\n

Importantly, there are three different types of machine learning. Let\u2019s dive deep into understanding all three types of machine learning: supervised, unsupervised and reinforcement learning.<\/p>\n

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