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Implementing Query2Model: Simplifying Machine Learning

Analytics Vidhya

Introduction Embark on an exciting journey into the world of effortless machine learning with “Query2Model”! Explore the fusion of natural language processing and advanced AI models, transforming intricate tasks into straightforward conversations.

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The Data Disconnect: A Key Challenge for Machine Learning Deployment

insideBIGDATA

This article is excerpted from the book, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment," by Eric Siegel, Ph.D., with permission from the publisher, MIT Press.

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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals.

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2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

insideBIGDATA

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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Here are 9 Must Need Machine Learning Tools for Your ML Project

Analytics Vidhya

Introduction Machine learning is a rapidly growing field that is transforming industries across sectors. It enables computers to learn from data and make predictions or decisions without being explicitly programmed.

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Machine Learning & AI for Healthcare in 2023

Analytics Vidhya

Introduction Machine learning (ML) and artificial intelligence (AI) are two of the most widely used technologies in the world. These technologies continually evolve and find newer use cases; however, ML and AI in healthcare are not very new. The first time AI applications were used in healthcare was in the 1970s.

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Empower your understanding of important machine-learning techniques

Data Science Dojo

The development of generative AI relies on important machine-learning techniques in today’s technological advancement. It makes machine learning (ML) a critical component of data science where algorithms are statistically trained on data.