Remove 2019 Remove Data Preparation Remove Machine Learning
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How to Build an AI Agent with Pydantic AI: A Beginner's Guide

ProjectPro

Pydantic AI, a Python agent framework, addresses these challenges by providing a fast, extensible solution for developers working with complex data in AI and machine learning projects. OpenAI uses Pydantic to structure and validate input data in their machine learning pipelines.

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Understanding the Power of Hadoop-as-a-Service

ProjectPro

from 2014-2019. A data scientist may have in-depth knowledge of machine learning but might not be well-versed with configuring a Hadoop cluster. A data scientist spends most of the time in data preparation so a HDaaS solution should offer a rich and powerful environment for analysis.

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How to Build Generative AI Applications?

ProjectPro

AI even de-aged actors in The Irishman (2019) using one of the popular generative models- Generative Adversarial Networks (GANs). Deep Learning Frameworks- TensorFlow , PyTorch, and Keras streamline model development of many deep learning and machine learning models. GDT accuracy on CASP benchmarks.

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30+ Artificial Intelligence Project Ideas for Beginners [2025]

ProjectPro

You can build a resume parser with the help of artificial intelligence and machine learning techniques that can skim through a candidate’s application and identify skilled candidates, filtering out people who fill their resume with unnecessary keywords. First, you upload around 100 pictures of yourself and label them as Class 1.

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Data Preparation for Machine learning 101: Why it’s important and how to do it

KDnuggets

As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

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Data Mapping Using Machine Learning

KDnuggets

Data mapping is a way to organize various bits of data into a manageable and easy-to-understand system.

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Microsoft Introduces Icebreaker to Address the Famous Ice-Start Challenge in Machine Learning

KDnuggets

The new technique allows the deployment of machine learning models that operate with minimum training data.