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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/hands-on-machine-learning
课程评论：没有评论
课程名称：Google Cloud 实践机器学习实验室 课程概述： 在当今技术快速发展的时代，机器学习已成为一个热门领域，而 Google Cloud 在推动这一发展的过程中发挥了重要作用。该课程旨在通过实践操作，使学习者掌握机器学习的核心技能，特别是在语言处理方面的应用。课程内容涵盖了TensorFlow、机器学习、Google Cloud平台、自然语言处理等多种主题。 学习者将通过 Google Cloud 的 Qwiklabs 平台，获得必要的虚拟环境和资源，完成一系列实验室任务。这门课程分为四个主要部分，包括： 1. **机器学习导论：语言处理** 学习者将获得机器学习在语言处理中的应用经验，包括提取文本实体、情感分析和语法分析等。 2. **中级机器学习：在 Google Cloud 上的 TensorFlow** 深入了解 TensorFlow，学习构建、训练和部署自己的模型，而不仅仅是使用预定义模型。 3. **高级机器学习：机器学习基础设施** 探讨如何在大规模下应用机器学习，利用 Google Cloud 提供的先进机器学习基础设施。 4. **应用学习项目** 参与具体的项目，以巩固所学的知识和技能。 学习者将在课程中获得实践经验，包括利用 Cloud Natural Language API 提取文本信息和情感、使用 TensorFlow 开发预测模型、构建完整的机器学习解决方案，以及更多内容。 课程特点： - 完全在线学习，灵活安排学习时间。 - 中级水平，要求学习者对机器学习有一定的基础了解。 - 预计学习时间为一个月，每周建议学习4小时。 - 课程结束后可获得可共享证书。 总之，该课程为希望在技术领域掌握机器学习技能并应用于实际中的学习者提供了一个极好的机会。
Course: 1
Title:Introduction to Machine Learning: Language Processing
Description:It’s no secret that machine learning is one of the fastest-growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this introductory Google Cloud Labs Series, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
Course: 2
Course Link: https://www.coursera.org/learn/tensorflow-machine-learning?specialization=hands-on-machine-learning
Title:Intermediate Machine Learning: TensorFlow on Google Cloud
Description:TensorFlow is a library for is an open-source software library for high-performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This Google Cloud Labs Series takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
Course: 3
Course Link: https://www.coursera.org/learn/machine-learning-infrastructure?specialization=hands-on-machine-learning
Title:Advanced Machine Learning: Machine Learning Infrastructure
Description:Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level Google Cloud Labs Series, you will get hands-on practice with machine learning at scale and how to employ the advanced machine learning infrastructure available on Google Cloud.
Skills you will gain
Tensorflow
Machine Learning
Google Cloud Platform
Natural Language Processing
Html5 Audio
Cloud Natural Language
Model Training
Prediction Models
Artificial Neural Network
About this Specialization
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It’s no secret that machine learning is one of the fastest-growing fields in tech, and the Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job.
In this Google Cloud Lab Specialization, you'll receive hands-on practice with machine learning as it applies to language processing, go beyond the basics of using predefined models, learning how to build, train and deploy your own, and finally get practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
Learning will take place on Google Cloud's leveraging the Qwiklabs platform where you will have the virtual environment and resources need to complete each lab.
This Google Cloud Labs Specialization is broken up into 4 courses comprised of a series of courses:
Introduction to Machine Learning: Language Processing Intermediate Machine Learning: TensorFlow on Google Cloud Advanced Machine Learning: Machine Learning Infrastructure
Applied Learning Project
This specialization leverages hands-on labs using our Qwiklabs platform. You can expect to gain practical hands-on experience with the concepts explained throughout each Google Cloud Lab.
Learners will be able to practice:
Extracting entities and sentiment from text using the Cloud Natural Language API.
Using Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.
Building an end-to-end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.
Building a simple scikit-learn model and making predictions against the model.
Using Cloud DataProc running on a Hadoop cluster to analyze a data set using Bayes Classification.
And much more!
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
You should have some familiarity with Machine Learning basics. Some course-based labs have recommended backgrounds. Please read them carefully.
Hours to complete
Approximately 1 month to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
You should have some familiarity with Machine Learning basics. Some course-based labs have recommended backgrounds. Please read them carefully.
Hours to complete
Approximately 1 month to complete
Suggested pace of 4 hours/week
Available languages
English
Subtitles: English
