Sireesha Muppala

Sireesha Muppala is an Enterprise Principal SA, AI/ML at Amazon Web Services (AWS) who guides customers on architecting and implementing machine learning solutions at scale. She received her Ph.D. in Computer Science from the University of Colorado, Colorado Springs, and has authored several research papers, white papers, blog articles. Sireesha frequently speaks at industry conferences, events, and meetups. She co-founded the Denver chapter of Women in Big Data.

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Analyze Datasets and Train ML Models using AutoML (Coursera) Coursera
DeepLearning.AI,AWS

Analyze Datasets and Train ML Models using AutoML (Coursera)

Data Science

Dive into the world of Practical Data Science with our specialized course designed to equip you with essential skills in analyzing datasets, employing automated machine learning techniques, and training sophisticated ML models. This course focuses on foundational concepts such as exploratory data analysis (EDA), AutoML, and text classification algorithms, providing hands-on experience with Amazon SageMaker Clarify and Data Wrangler tools.

Mar 25th 2024
4 Weeks
EDA Exploratory Data Analysis Bias
Details
Build, Train, and Deploy ML Pipelines using BERT (Coursera) Coursera
DeepLearning.AI,AWS

Build, Train, and Deploy ML Pipelines using BERT (Coursera)

Data Science

Dive into the world of Natural Language Processing (NLP) with our specialized course on Building, Training, and Deploying ML Pipelines using BERT. This course is designed for data scientists and enthusiasts looking to harness the capabilities of Amazon SageMaker and Hugging Face's BERT algorithm to automate complex tasks and create efficient machine learning pipelines.

Mar 25th 2024
3 Weeks
Debugging Machine Learning Artifacts
Details
Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera) Coursera
DeepLearning.AI,AWS

Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera)

Data Science

Dive into the world of advanced machine learning optimization and deployment with our 'Optimize ML Models and Deploy Human-in-the-Loop Pipelines' course. This course is designed for data scientists and practitioners looking to refine their models, improve prediction performance, and streamline the deployment process. By leveraging Amazon SageMaker's powerful tools, you'll learn how to automate model tuning, conduct A/B testing of model candidates, and scale successful models in real-time.

Mar 18th 2024
3 Weeks
A/B Testing Coursera Plus Model Deployment
Details
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