결과 114개

1. 과정 추천

   BigQuery for Machine Learning

   Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and le…

2. 과정 추천

   Use Machine Learning APIs on Google Cloud

   Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge i…

3. 과정 추천

   Google Cloud Solutions II: Data and Machine Learning

   In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architectur…

4. 실습 추천

   Use Machine Learning APIs on Google Cloud: Challenge Lab

   This challenge labs tests your skills learned in the Use Machine Learning APIs on Google Cloud skill badge. You should be familiar with the content of labs before attempting this lab.

5. 과정 추천

   Launching into Machine Learning - 한국어

   이 과정에서는 먼저 데이터에 관해 논의하면서 데이터 품질을 개선하고 탐색적 데이터 분석을 수행하는 방법을 알아봅니다. Vertex AI AutoML과 코드를 한 줄도 작성하지 않고 ML 모델을 빌드하고, 학습시키고, 배포하는 방법을 설명합니다. 학습자는 Big Query ML의 이점을 이해할 수 있습니다. 그런 다음, 머신러닝(ML) 모델 최적화 방법과 일반화 및 샘플링으로 커스텀 학습용 ML 모델 품질을 평가하는 방법을 다룹니다.

6. 실습 추천

   Machine Learning with TensorFlow in Vertex AI

   In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.

7. 실습 추천

   Google 머신러닝을 사용한 브라켓톨로지

   이 실습에서는 머신러닝(ML)을 사용하여 공개 NCAA 데이터세트를 분석하고 NCAA 토너먼트 브라켓(대진표)을 예측합니다.

8. 실습 추천

   Differential Privacy in Machine Learning with TensorFlow Privacy

   In this lab, you learn how to use differential privacy in machine learning using TensorFlow Privacy.

9. 실습 추천

   Machine Learning with Spark on Google Cloud Dataproc

   In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

10. 과정 추천

    Build and Deploy Machine Learning Solutions on Vertex AI

    Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models. This skill badge co…