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 forma parte de Programa especializado: Practical Data Science on the AWS Cloud
Ofrecido Por
Acerca de este Curso
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosQué aprenderás
Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.
Habilidades que obtendrás
- 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
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
Ofrecido por
Programa - Qué aprenderás en 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
Reseñas
- 5 stars69,62 %
- 4 stars21,77 %
- 3 stars5,73 %
- 2 stars2 %
- 1 star0,85 %
Principales reseñas sobre ANALYZE DATASETS AND TRAIN ML MODELS USING AUTOML
Great course! The only thing that's not specified is the cost of the tools we learn how to use. Is SageMaker free, or is there a cost?
This course introduced me to the Amazon Sage Maker Studio and helped me in understanding the concept of Auto ML.
The videos and links were good. The labs were a bit too easy, mostly about copying variable names from the previous section.
Good course but my doubts are not getting resolved even if i post in deeplearning community.
Acerca de Programa especializado: Practical Data Science on the AWS Cloud
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
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