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5 essential machine learning practices every data scientist should know

Data Science Dojo

By following best practices in algorithm selection, data preprocessing, model evaluation, and deployment, we unlock the true potential of machine learning and pave the way for innovation and success. In this blog, we focus on machine learning practices—the essential steps that unlock the potential of this transformative technology.

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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In this blog, we will explore the details of both approaches and navigate through their differences. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. Yet the crucial question arises: Which of these emerges as the foremost driving force in AI innovation? What is Generative AI?

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Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Towards AI

Machine learning(ML) is evolving at a very fast pace. I am starting a series with this blog, which will guide a beginner to get the hang of the ‘Machine learning world’. Photo by Andrea De Santis on Unsplash So, What is Machine Learning?

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Five machine learning types to know

IBM Journey to AI blog

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

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Linear Algebra Operations for Machine Learning

Pickl AI

Summary: Linear Algebra is foundational to Machine Learning, providing essential operations such as vector and matrix manipulations. By understanding Linear Algebra operations, practitioners can better grasp how Machine Learning models work, optimize their performance, and implement various algorithms effectively.

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How to build a Machine Learning Model?

Pickl AI

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types.

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Named Entity Recognition With SpaCy

Heartbeat

Named entity recognition (NER) is a subtask of natural language processing (NLP) that involves automatically identifying and classifying named entities mentioned in a text. Pre-processing: The text is first pre-processed by removing any unnecessary information, such as stop words, and tokenizing the text into individual words.