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Teachable Machine
Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.
See results only from teachablemachine.withgoogle.comTeachable Machine
This experiment lets anyone explore how machine learning works, in a fun, hands-on way. You can teach a machine to using your camera, live in th…
Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Implementing a model | Machine Learning | Google for Developers
Mar 5, 2025 · After setting up your data pipeline and implementing a simple model that uses a few features, you can iterate on creating a better model. Simple models provide a good baseline, …
Best practices for implementing machine learning on Google Cloud
Sep 9, 2024 · Introduces best practices for implementing machine learning (ML) on Google Cloud, with a focus on custom-trained models based on your data and code.
Introduction to AI and ML in BigQuery | Google Cloud
- BigQuery ML offers several advantages over other approaches tousing ML or AI with a cloud-based data warehouse: 1. BigQuery ML democratizes the use of ML and AI by empowering dataanalysts, the primary data warehouse users, to build and run models usingexisting business intelligence tools and spreadsheets. Predictive analyticscan guide business deci...
Build and deploy generative AI and …
Mar 28, 2024 · Describes the generative AI and machine learning (ML) blueprint, which deploys a pipeline for creating AI models.
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AI and machine learning resources - Google Cloud
Feb 10, 2025 · Introduces best practices for implementing machine learning (ML) on Google Cloud, with a focus on custom-trained models based on your data and code. Products used: …
ML pipelines | Machine Learning | Google for Developers
Jul 17, 2024 · ML pipelines organize the steps for building and deploying models into well-defined tasks. Pipelines have one of two functions: delivering predictions or updating the model. The serving...
Use the new Gemma 3 on Vertex AI | Google Cloud Blog
Mar 12, 2025 · Fine-tuning Gemma 3 on Vertex AI. In Vertex AI Model Garden, you can fine-tune and deploy Gemma 3 using PEFT (LoRA) from Hugging Face in only a few steps. Before you …
Create a Model Card with Scikit-Learn | Google Cloud …
Oct 16, 2020 · Model cards aim to provide a concise, holistic picture of a machine learning model. To start, a model card explains what a model does, its intended audience, and who maintains it. A model...
Supervised Learning | Machine Learning | Google for …
Feb 25, 2025 · Supervised learning's tasks are well-defined and can be applied to a multitude of scenarios—like identifying spam or predicting precipitation. Supervised machine learning is based on the...
Overfitting: Model complexity | Machine Learning - Google …
Oct 9, 2024 · You're on a brand-new machine learning project, about to select your first features. How many features should you pick? Pick 1–3 features that seem to have strong predictive …
What is Machine Learning? | Google for Developers
Feb 25, 2025 · Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles. This course explains the core concepts behind …
Machine Learning & AI Courses | Google Cloud Training
Learn how to implement the latest machine learning and artificial intelligence technology with courses on Vertex AI, BigQuery, TensorFlow, and more. Boost your AI skills to take your …
Professional Machine Learning Engineer - Learn | Google Cloud
Gain access to exclusive resources and opportunities to help you learn, build, and grow with Google. Explore all benefits. A Professional Machine Learning Engineer builds, evaluates,...
Machine learning for developers - Google Codelabs
Learn how to use pre-trained machine learning models and extract insights from your data. On this page, you will find a collection of codelabs. A codelab is a self-paced tutorial that does a...
Tools for developers to get started - Google AI - Google AI
Supercharge your productivity in your development environment with Gemini, Google’s most capable AI model. A Python library designed for large-scale machine learning. Fully managed …
MTA and Google Public Sector Announce Preventive
Feb 27, 2025 · The data was combined with NYCT’s database of track non-conformities and ingested into a machine learning model running on Google Cloud. The data provided by the …
Google Colab
Build a neural network machine learning model that classifies images. Train this neural network. Evaluate the accuracy of the model. This tutorial is a Google Colaboratory notebook. Python...
Getting started: training and prediction with Keras
At this point, you have trained a machine learning model on AI Platform, deployed the trained model as a version resource on AI Platform, and received online predictions from the …
Gaussian mixture models with rare events | The Journal of …
2 days ago · We study here a Gaussian mixture model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow …
Development and validation of machine learning models for …
Mar 12, 2025 · The model performance of three machine learning algorithm is shown in Table 2. The performance of the XGBoost algorithm was the highest (AUC 0.793 ± 0.012, Mean …
Gemini Robotics uses Google’s top language model to make …
Mar 12, 2025 · Google DeepMind has released a new model, Gemini Robotics, that combines its best large language model with robotics. Plugging in the LLM seems to give robots the ability …
Magma: A foundation model for multimodal AI agents across …
Feb 25, 2025 · Built on the foundation model paradigm, Magma is pretrained on an expansive and diverse dataset, allowing it to generalize better across tasks and environments than smaller, …
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