Machine Learning Blog - Magnimind Academy

Machine Learning Blog

Machine Learning Tools and Technologies

Machine Learning Tools and Technologies

Machine learning, a subset of artificial intelligence (AI), empowers systems to learn and improve from experience without explicit programming. Its applications span across industries, from healthcare and finance to marketing and entertainment. This article aims to...

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Supervised Vs. Unsupervised Learning: Understanding The Differences

Supervised Vs. Unsupervised Learning: Understanding The Differences

Algorithms and statistical models are used in the field of machine learning to help computers learn from data. The distinction between supervised and unsupervised learning is essential in machine learning. In this article, we will look at the differences between these two approaches and when to use each one.

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All Machine Learning Algorithms You Should Know In 2023

All Machine Learning Algorithms You Should Know In 2023

The significance of machine learning is only going to rise in the coming years in tandem with the rising complexity of data and the growing demand for automation. In this article, we will discuss a few of the most significant machine learning algorithms you should be familiar with by 2023.

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Machine Learning Vs. Deep Learning: What Is The Difference?

Machine Learning Vs. Deep Learning: What Is The Difference?

Two of the most talked-about subfields of artificial intelligence (AI) are machine learning and deep learning. They are not the same thing, even though they are frequently used interchangeably. Businesses and organizations looking to implement AI-based solutions need to know the difference between the two.

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How To Tune The Hyperparameters

How To Tune The Hyperparameters

Usually, knowing what values you should use for the hyperparameters of a specific algorithm on a given dataset is challenging. That’s why you need to explore various strategies to tune hyperparameter values. With hyperparameter tuning, you can determine the right mix of hyperparameters that would maximize the performance of your model.

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Creating A Forest From A Tree: A Brief Introduction To Random Forest

Creating A Forest From A Tree: A Brief Introduction To Random Forest

Perhaps you already know that data scientists identify patterns in massive volumes of data. But do you know how? They use many different machine learning algorithms to translate the data into actionable insights based on which organizations make strategic business decisions. They need to choose the right algorithm to solve the problem at hand.

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The Tradeoff between Variance and Bias

The Tradeoff between Variance and Bias

The tradeoff between variance and bias is a fundamental concept in the field of machine learning, and it refers to the fact that there is always a balance to be struck between a model's ability to accurately capture the underlying structure of the data, and its...

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Machine Learning Professionals Need Degree!(?)

Machine Learning Professionals Need Degree!(?)

During the past few years, we’ve been experiencing an upward trend in talent acquisition in the field of machine learning. Though this field has traditionally been considered as something that only institutions working with huge amount of resources could utilize, wide implementation of machine learning today has transformed the scenario completely. From e-commerce to software product to different business landscapes – machine learning is being implemented to a great extent. As a result, there’s a huge demand of machine learning professionals across industries, throughout the globe.

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Differences Between Ai And Machine Learning

Differences Between Ai And Machine Learning

With exceptional emergence and implementation of big data and analytics, both AI and machine learning have become two buzzwords in the industry right now. And they often seem to be used interchangeably. However, they shouldn’t be considered as one thing since there’re some clear differences that make AI and machine learning separate. If you’re like a majority of the marketers, and are perhaps planning to any or both of these, it becomes all the more important to have a solid understanding of the differences between them.

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