Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.
このコースはMicrosoft Azure Data Scientist Associate - DP-100 Test Prep専門講座に属します。
3,100人がすでに登録済みです
提供：
このコースについて
20,820 最近の表示
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
約13時間で修了
英語
字幕：英語
学習内容
How to plan and create a working environment for data science workloads on Azure and how to run data experiments and train predictive models.
習得するスキル
- Manage Azure resources for machine learning
- Deploy and operationalize machine learning solutions
- Run experiments and train models
- Implement responsible machine learning
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
約13時間で修了
英語
字幕：英語
提供：
マイクロソフト
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
シラバス - 本コースの学習内容
6時間で修了
Explore data and create models to predict numeric values
Data exploration and analysis is at the core of data science. Data scientists require skills in languages like Python to explore, visualize, and manipulate data. n this module, you will learn how to use Python to explore, visualize, and manipulate data.You will also learn how regression can be used to create a machine learning model that predicts numeric values. You will use the scikit-learn framework in Python to train and evaluate a regression model.
6時間で修了
7件のビデオ （合計18分）, 14 学習用教材, 9 個のテスト
3時間で修了
Train and evaluate classification and clustering models
Classification is a kind of machine learning used to categorize items into classes. In this module, you will learn how classification can be used to create a machine learning model that predicts categories, or classes. You will use the scikit-learn framework in Python to train and evaluate a classification model. You will also learn how clustering can be used to create unsupervised machine learning models that group data observations into clusters. You will use the scikit-learn framework in Python to train a clustering model.
3時間で修了
7件のビデオ （合計9分）, 7 学習用教材, 8 個のテスト
3時間で修了
Train and evaluate deep learning models
In this module, you will learn about the fundamental principles of deep learning, and how to create deep neural network models using PyTorch or Tensorflow. You will also explore the use of convolutional neural networks to create image classification models.
3時間で修了
8件のビデオ （合計21分）, 4 学習用教材, 6 個のテスト
レビュー
- 5 stars64.28%
- 4 stars30.95%
- 3 stars4.76%
CREATE MACHINE LEARNING MODELS IN MICROSOFT AZURE からの人気レビュー
JKにより2022年2月20日
Great course with lots of insights. Definetly worth it!
NGにより2022年1月13日
Awesome course and instructor was great in delivering content
Microsoft Azure Data Scientist Associate - DP-100 Test Prep専門講座について
This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Specialization teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.
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