AI Notes

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AI Notes For Learning

  • What is a Tensor

    In the realm of computer science, especially within the fields of machine learning and deep learning, a tensor is a fundamental data structure. Think of it as a…

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  • Tensor

    PyTorch’s fundamental data structure is the Tensor. It’s the central object for numerical computation in PyTorch, analogous to NumPy’s ndarray but with added capabilities for GPU acceleration and…

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  • Google BigQuery

    Google BigQuery is a fully managed, serverless, and cost-effective data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure. It’s designed for analyzing massive…

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  • Vertex AI

    Vertex AI is Google Cloud‘s unified platform for machine learning (ML) and artificial intelligence (AI). It’s designed to help data scientists and ML engineers build, deploy, and scale…

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  • Google BigQuery and Vertex AI Together

    Google BigQuery and Vertex AI are powerful components of Google Cloud‘s AI/ML ecosystem and are designed to work seamlessly together to facilitate the entire machine learning lifecycle. Here’s…

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  • Describing Prediction Input and Output

    In the context of machine learning, particularly when discussing model deployment and serving, prediction input refers to the data you provide to a trained model to get a…

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  • Training image classification and object detection models using Vertex AI

    You can train image classification and object detection models using Vertex AI. Here’s a comprehensive overview of the process: 1. Data Preparation 2. Training Options Vertex AI offers…

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  • House price prediction model features

    For a house price prediction model in Vertex AI, the features you use will significantly impact the model’s accuracy and reliability. Here’s a breakdown of common and important…

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  • Train a PyTorch Model with Sample Data

    Okay, here’s a sample dataset for a house price prediction model, incorporating many of the features we discussed. This data is synthetic and intended to illustrate the variety…

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  • Deploying a PyTorch model on Vertex AI

    Deploying a PyTorch model on Vertex AI involves several steps. Here’s a breakdown: 1. Prerequisites: 2. Steps Here’s a conceptual outline with code snippets using the Vertex AI…

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  • Call Vertex AI endpoint

    To call your Vertex AI endpoint using HTTP, you’ll need to construct a POST request with the correct authorization and data format. Here’s a breakdown and an example…

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