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.
Este curso faz parte do Programa de cursos integrados Practical Data Science on the AWS Cloud
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Informações sobre o curso
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.
Habilidades que você terá
- 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
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Business
oferecido por
Programa - O que você aprenderá com este curso
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
Avaliações
- 5 stars68,38%
- 4 stars23,10%
- 3 stars5,47%
- 2 stars2,12%
- 1 star0,91%
Principais avaliações do ANALYZE DATASETS AND TRAIN ML MODELS USING AUTOML
Very useful content and helpful labs. Labs sessons expired in 2 hours and no work could be saved which is frustrating, make sure to submit work ASAP before diving into the detailed content.
Good course but my doubts are not getting resolved even if i post in deeplearning community.
Fantastic Course , explores multiple AWS Services and toolkits for Data science and AI ML Solutions.
really good course, direct to the point with aws. I really recommend create a account and review yourself all learning.
Sobre Programa de cursos integrados Practical Data Science on the AWS Cloud
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