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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Practical Data Science on the AWS Cloud
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Spezialisierung Practical Data Science on the AWS Clouddeeplearning.aiÜber diesen Kurs
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
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Probieren Sie Coursera for Business ausWas Sie lernen werden
Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.
Kompetenzen, die Sie erwerben
- 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
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business aus
Lehrplan - Was Sie in diesem Kurs lernen werden
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
Bewertungen
- 5 stars69,16 %
- 4 stars21,94 %
- 3 stars5,83 %
- 2 stars2,22 %
- 1 star0,83 %
Top-Bewertungen von ANALYZE DATASETS AND TRAIN ML MODELS USING AUTOML
Great! Highly recommended for emerging data scientist who are looking to gain practical knowledge on AWS.
This course introduced me to the Amazon Sage Maker Studio and helped me in understanding the concept of Auto ML.
Good course but my doubts are not getting resolved even if i post in deeplearning community.
Great Introduction to AWS Sagemaker. The labs help you in putting various sage maker features in practice and must do to learn the concepts from the classes.
Über den Spezialisierung Practical Data Science on the AWS Cloud
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