Machine Learning

human intelligence

Artificial Intelligence vs Machine Learning

IntroductionThe term “Artificial Intelligence (AI)” entered common usage in 1956. There was a time when people became disillusioned with AI and companies even started to claim they did not use AI to avoid negative connotation. And then Machine Learning (ML) rose in popularity, which like AI was not well-defined and in fact had a similar definition to AI.You may wonder:

Top Machine Learning Project Ideas to Try Out

With the growth of data collection in this age, interpreting information has become increasingly paramount. Enter Machine Learning (ML), an intersection of statistics and computer processing power to help you interpret data by providing predictions based on trends. It is no wonder it is a widely used technique in artificial intelligence.Why is Building Projects for ML Important?With so much data

How to Learn Python Machine Learning

Behind many of the most famous websites in the world are machine learning algorithms. Netflix uses algorithms to determine what movies to recommend based on what you have seen. Amazon uses data to recommend items you may want to purchase from their website.Python is one of the most popular languages used for machine learning. In this guide, we will walk

human intelligence

How to Learn NLP

Are you interested in developing the software and algorithms behind Alexa, Siri, Google Search, chatbots, Grammarly, and other technologies that involve human language? NLP, or natural language processing, is a growing field at the intersection of linguistics, machine learning, and artificial intelligence. Whether you are looking up your favorite restaurant or checking your spelling, you are reaping the benefits of NLP.

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Data Science vs. Machine Learning

Jobs in data science, machine learning, and artificial intelligence are growing at an increasing rate, and skilled people in these fields are in high demand in the job market.According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is expected to grow 16% by 2028, which the Bureau describes as “much faster than average.”If you’ve


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