In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot. Next, you will work with Amazon SageMaker BlazingText, a highly optimized and scalable implementation of the popular FastText algorithm, to train a text classifier with very little code.
Ce cours fait partie de la Spécialisation Practical Data Science on the AWS Cloud
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Spécialisation Practical Data Science on the AWS Clouddeeplearning.aiÀ propos de ce cours
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
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Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.
Compétences que vous acquerrez
- Statistical Data Bias Detection
- Multi-class Classification with FastText and BlazingText
- Data ingestion
- Exploratory Data Analysis
- Automated Machine Learning (AutoML)
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affaires
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Programme de cours : ce que vous apprendrez dans ce cours
Week 1: Explore the Use Case and Analyze the Dataset
Week 2: Data Bias and Feature Importance
Week 3: Use Automated Machine Learning to train a Text Classifier
Week 4: Built-in algorithms
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- 1 star0,84 %
Meilleurs avis pour ANALYZE DATASETS AND TRAIN ML MODELS USING AUTOML
Good course but my doubts are not getting resolved even if i post in deeplearning community.
really good course, direct to the point with aws. I really recommend create a account and review yourself all learning.
Week 3 lab gave me hard time. Otherwise the course is great. Lectures are short and I like that.
Gives a very good and quick introduction to the different features available in AWS.
À propos du Spécialisation Practical Data Science on the AWS Cloud
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