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Tag: interpretability

How AI Is Changing Data Analytics in 2024

As AI technology continues to mature and democratize, it’s being integrated into data analytics platforms and workflows in new waysArtificial intelligence is changing many...

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10 GitHub Repositories to Master MLOps – KDnuggets

Image by Author  It is becoming more important to master MLOps (Machine Learning Operations) for those who want to effectively deploy, monitor, and maintain...

All You Need to Know About Gemma, the Open-Source LLM Powerhouse

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and...

FDA Draft Guidance on Real-World Evidence: Considerations for Collection and Analysis | United States

The  article highlights the aspects related to the key considerations for methodologies used in the context of the collection and analysis of real-world evidence. ...

How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in...

Ask a Data Ethicist: Can We Trust Unexplainable AI? – DATAVERSITY

In last month’s column, I asked readers to send in their “big questions” when it comes to data and AI. This month’s question more than...

Understanding the Current State of Data and AI Market Uncertainty: Insights from KDnuggets

Understanding the Current State of Data and AI Market Uncertainty: Insights from KDnuggets In recent years, the data and artificial intelligence (AI) market has experienced...

Dynamic Pricing in Ecommerce: How It Works

Ecommerce cost Dynamic Pricing in Ecommerce: How It Works Dynamic pricing is a technological and strategic response to the...

20 Technologies in Data Science for Professionals

Introduction As internet usage grows, companies leverage data for innovation and competitive advantage. With 66.2% of the global population connected to the internet as of...

What is Ridge Regression? [Updated]

Table of contents Contributed by: Prashanth Ashok Ridge regression is a model-tuning method that is used to analyze any data that suffers from multicollinearity. This method...

What is Prompt Engineering? A Comprehensive Guide for AI

IntroductionPrompt engineering, at its core, is the art of conversational alchemy with AI. It's where meticulous crafting of questions or instructions meets the world...

Are We Undervaluing Simple Models? – KDnuggets

Image Generated by DALL-E 2  The current trend in the machine-learning world is all about advanced models. The movement fueled mainly by many courses'...

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