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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

What is Data Science? An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science.

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Image Classification with Gemini Pro

PyImageSearch

vs. Gemini Pro for Image Classification Summary and Key Takeaways Citation Information Image Classification with Gemini Pro In this tutorial, you’ll learn how to use the Gemini Pro generative model with the Google AI Python SDK (software development kit) to generate code for image classification in PyTorch. vs. ChatGPT-3.5

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Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

LLMs are machine learning models based on deep neural networks, capable of generating text by autoregressively predicting the next word (or the next token , to be more precise). One of the main challenges with turning LLMs into business value is the high cost of the expensive hardware required to run the models.

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Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

LLMs are machine learning models based on deep neural networks, capable of generating text by autoregressively predicting the next word (or the next token , to be more precise). One of the main challenges with turning LLMs into business value is the high cost of the expensive hardware required to run the models.

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Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline

PyImageSearch

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series

PyImageSearch

Home Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Let’s embark on this grand finale together! Looking for the source code to this post?

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SAM from Meta AI (Part 1): Segmentation with Prompts

PyImageSearch

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. To learn how to use SAM in your own projects, just keep reading. Looking for the source code to this post?