google crash machine learning machine
Machine Learning Google for Developers
Google 提供的快节奏、实用的机器学习简介课程，包含一系列包含视频讲座、互动式可视化内容和实操练习的课程。 机器学习速成课程有哪些新变化？ 自 2018 年以来，全球已有数百万人通过机器学习速成课程来了解机器学习的工作原
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Machine Learning Crash Course - Google Developers
2018年3月2日 MLCC covers many machine learning fundamentals, starting with loss and gradient descent, then building through classification models and neural nets. The programming exercises introduce TensorFlow.
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Google’s Machine Learning Crash Course gets new updates
2024年11月12日 Google's reimagined Machine Learning Crash Course is here! Learn
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Prerequisites and prework Machine Learning - Google Developers
2024年10月9日 Machine Learning Crash Course does not presume or require any prior
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神经网络 Machine Learning Google for Developers
神经网络 是一个 多种模型架构， 非线性 数据模式。 在神经网络训练期间， model （模型自动修复） 学习对输入数据执行的最佳特征组合，以最大限度减少 损失。 在后续部分中，我们将详细了解神经网络的工作原理。 如未另行说
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Machine Learning Crash Course - Google Developers - YouTube
This playlist is a part of Google's Machine Learning Crash Course:
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Machine Learning Google for Developers
Learn how to manage machine learning projects. Discover courses about machine learning fundamentals and core concepts.
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Linear regression: Gradient descent exercise Machine Learning ...
2024年11月11日 Task #1: Adjust the Learning Rate slider below the graph to set a learning rate of 0.03. Click the Start button to run gradient descent. How long does the model training take
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Linear regression Machine Learning Google for
2024年10月9日 Introduction to Machine Learning Linear regression is a statistical technique used to find the relationship between variables. In an ML context, linear regression finds the relationship between features and a label .
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Fairness: Identifying bias Machine Learning - Google Developers
2024年10月9日 Learn techniques for identifying sources of bias in machine learning data, such as missing or unexpected feature values and data skew.
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Fairness: Counterfactual fairness Machine Learning Google for ...
2024年10月9日 Summary. Demographic parity, equality of opportunity, and counterfactual fairness each provide different mathematical definitions of fairness for model predictions.And
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Automated Machine Learning (AutoML) Google for Developers
2024年10月22日 Automating these tasks is the subject of this module on automated machine learning (AutoML). What is AutoML? AutoML is a process of automating certain tasks in a
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Classification: Multi-class classification Machine Learning Google ...
2024年10月9日 Multi-class classification can be treated as an extension of binary classification to more than two classes. If each example can only be assigned to one class, then the
[خذ المزيد]Machine Learning AI Courses Google Cloud Training
Machine learning and artificial intelligence. Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution? 1
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Numerical data: Conclusion Machine Learning - Google
2024年10月9日 Crash Course Send feedback Numerical data: Conclusion Stay organized with collections Save and categorize content based on your preferences. A machine learning (ML)
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Fairness: Test your knowledge Machine Learning - Google
2024年10月15日 Test your knowledge of machine learning fairness concepts by completing this five-question quiz. ... Crash Course Send feedback Fairness: Test your knowledge ... For
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Linear regression: Parameters exercise Machine Learning Google
2024年8月15日 Automated machine learning (30 min) Introduction (10 min) Benefits and limitations (10 min) Getting started (10 min) ... Crash Course Send feedback ... For details,
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Large language models Machine Learning - Google Developers
2024年10月9日 This course module provides an overview of language models and large language models (LLMs), covering concepts including tokens, n-grams, Transformers, self-attention, distillation, fine-tuning, and prompt engineering.
[خذ المزيد]Prerequisites and prework Machine Learning - Google Developers
2024年10月9日 Please read through the following Prework and Prerequisites sections before beginning Machine Learning Crash Course, to ensure you are prepared to complete all the modules.. Prework. Before beginning Machine Learning Crash Course, do the following: If you're new to machine learning, take Introduction to Machine Learning.This short self-study course
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Fairness Machine Learning Google for Developers
2024年11月8日 Estimated module length: 110 minutes Evaluating a machine learning model (ML) responsibly requires doing more than just calculating overall loss metrics. Before putting a model into production, it's critical to audit training data and evaluate predictions for bias. This module looks at different types of human biases that can manifest in training data.
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Categorical data: Test your knowledge Machine Learning Google
2024年10月15日 Automated machine learning (30 min) Introduction (10 min) Benefits and limitations (10 min) Getting started (10 min) ... Crash Course Send feedback Categorical data: Test your ... see the Google Developers Site Policies.
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Classification: ROC and AUC Machine Learning - Google
2024年10月9日 (Optional, advanced) Precision-recall curve. AUC and ROC work well for comparing models when the dataset is roughly balanced between classes. When the dataset is imbalanced, precision-recall curves (PRCs) and the area under those curves may offer a better comparative visualization of model performance.
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Linear regression: Parameters exercise Machine Learning Google
2024年8月15日 Automated machine learning (30 min) Introduction (10 min) Benefits and limitations (10 min) Getting started (10 min) ... Crash Course Send feedback ... For details, see the Google Developers Site Policies.
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Numerical data: Programming exercises Machine Learning Google
2024年10月9日 Get practical experience finding outliers and bad data values by completing these programming exercises in Google Colab. Machine Learning ML Concepts ... Automated machine learning (30 min) Introduction (10 min) Benefits and limitations (10 min) Getting started (10 min) ... Crash Course Send feedback Numerical data: ...
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Datasets: Labels Machine Learning Google for Developers
2024年10月9日 Human-generated data. Some data is human-generated; that is, one or more humans examine some information and provide a value, usually for the label.For example, one or more meteorologists could examine pictures of the sky and identify cloud types. Alternatively, some data is automatically-generated.That is, software (possibly, another machine learning
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Linear regression: Gradient descent exercise Machine Learning ...
2024年11月11日 Task #1: Adjust the Learning Rate slider below the graph to set a learning rate of 0.03. Click the Start button to run gradient descent. How long does the model training take to converge (reach a stable minimum loss value)? What is the MSE value at model convergence?
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Machine Learning Crash Course - Google Developers Blog
2018年3月2日 Is MLCC Google's only machine learning educational project? MLCC is merely one of many ways to learn about machine learning. To explore the universe of machine learning educational opportunities from Google, see our new Learn with Google AI program at g.co/learnwithgoogleai. To start on MLCC, see g.co/machinelearningcrashcourse
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