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Natural Language Processing (NLP)

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  Natural Language Processing: All You Need to Know   Human language is pretty complex. How we write or speak contains many nuances other than just deriving the meaning of the words. We have to understand the sentiment, emotion, and usages like metaphors or sarcasm.   Now, this task sometimes turns out challenging even for humans. So, machines or computers find it extra difficult to work with or even understand human speech or text.   Here comes the need for Natural Language Processing or NLP. It allows machines to deal with text and speech for a number of purposes and business applications.   Let's explore more on the topic.   What is Natural Language Processing?     NLP is a field of computer science and artificial intelligence (AI). It allows computers or applications to understand and interpret the meaning of texts and human speech. Therefore, machines can also give back feedback or answers based on the input text or s...
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What are Decision Trees? How Do They Influence Business Decisions?

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Businesses have to deal with a range of uncertainties. However, they should still make the right decisions to maintain profitability.   However, that may become a challenge if there is no formal structure or process to make informed decisions.   As a result, businesses rely on different methods and models to drive effective decisions. In this regard, decision trees can be a suitable tool for making classifications and predictions.   In this blog, we will discuss decision trees in detail and explore their pros and cons. You will also learn how the method is used to make meaningful decisions.   What is a Decision Tree?   A decision tree is a tree structure based on the flowchart. It follows a sequential order to help businesses predict future possibilities.   In a decision tree, an internal node represents a test for an attribute. Additionally, every branch on the tree denotes a possible result of the test. Moreover, every terminal nod...
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  Linear Regression in Data Science - A Complete Overview   Data science is all about analyzing large sets of data to identify trends or patterns. Additionally, data science powers business decisions by allowing accurate predictions.   There are several ways and models to leverage data science to make forecasts. Among them, linear regression is a popular technique used by data scientists around the world. The method allows you to predict the value of one factor based on other factors. Therefore, linear regressions deal with two or more variables.   The variable data scientists want to predict is referred to as a dependent variable. Consequently, the variable scientists rely on to make the prediction is named the independent variable.   Linear regression is among the simple methods to predict accurately in data science. Additionally, the mathematical formula is easy to comprehend and work with. Best of all, you can use linear regression to make f...
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What is Data Science - A Complete Guide

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  What is Data Science   -   A Complete Guide                                                        image source Data science is the art of making sense of data. It is a powerful tool in the hands of governments and businesses to uncover vital insights and provide better services.   However, how does data science work? When can you use data science to your benefit?   In this guide, we will find out everything about data science. We will explore how it works and even the strengths and weaknesses of the technique.   In addition, we will take a look at when data science might be helpful. What is Data Science?   We generate a ton of data every day. Take the case of YouTube, for example. People upload around 500 hours of videos on the platform daily .   Similarly, we generate a range of data as we int...
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