Essays about: "AWS SageMaker"

Showing result 1 - 5 of 7 essays containing the words AWS SageMaker.

1. 1. Low-No code Platforms for Predictive Analytics

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Soma Karmakar; [2023]
   Keywords : Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

   Abstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE

3. 2. Evaluating machine learning models for text classification

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Jonas Lilja; [2023]
   Keywords : Technology and Engineering;

   Abstract : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. READ MORE

4. 3. Analysis Of Fastlane For Digitalization Through Low-Code ML Platforms

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Krishnaraj Raghavendran; [2022]
   Keywords : low-code; no-code; automL; sagemaker; machine learning; vertex AI; cloud agnostic; digitailization; cloud native;

   Abstract : Even a professional photographer sometimes uses automatic default settings that come up with the camera to take a photo. One can debate the quality of outcome from manual vs automatic mode. READ MORE

5. 4. Semantic Segmentation of Iron Ore Pellets in the Cloud

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Hampus Lindberg; [2021]
   Keywords : Data annotation; Semantic segmentation; Docker; AWS; SageMaker; Ilastik; PyTorch; Unet ;

   Abstract : This master's thesis evaluates data annotation, semantic segmentation and Docker for use in AWS. The data provided has to be annotated and is to be used as a dataset for the creation of a neural network. Different neural network models are then to be compared based on performance. READ MORE

6. 5. Measuring user experience in cloud services while loading, training, and serving machine learning models using Usability heuristics and cognitive walkthrough.

   University essay from

   Author : saipranav karanam; Ramya Devisetty; [2021]
   Keywords : ;

   Abstract : Introduction: Machine Learning as a Service (MLaaS) is a capture term for a range of cloud-based platforms that use machine learning tools to produce solutions that help machine learning professionals. Many cloud-based service providers have led the road in recent years to provide I.T. READ MORE