Customers need machine learning (ML) models to detect objects that are interesting for their business. In most cases doing so is hard as these models needs thousands of labelled images and deep learni...
Building custom language models to supercharge speech-to-text performance for Amazon Transcribe
Amazon Transcribe is a fully-managed automatic speech recognition service (ASR) that makes it easy to add speech-to-text capabilities to voice-enabled applications. As our service grows, so does the d...
Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step
*This article was published as a part of the [Data Science Blogathon](https://datahack.analyticsvid...
How Machine Learning Models Fail to Deliver in Real-World Scenarios
*This article was published as a part of the [Data Science Blogathon](https://datahack.analyticsvid...
How I Became a Data Science Competition Master from Scratch
- Winning data science competitions can be a complex process but you can crack the top 3 if you h...
Running on-demand, serverless Apache Spark data processing jobs using Amazon SageMaker managed Spark containers and the Amazon SageMaker SDK
Apache Spark is a unified analytics engine for large scale, distributed data processing. Typically, businesses with Spark-based workloads on AWS use their own stack built on top of Amazon Elastic Comp...
A Quick History of Neural Networks
*This article is part of the [Data Science Blogathon](https://datahack.analyticsvidhya.com/contest/...
Moving from notebooks to automated ML pipelines using Amazon SageMaker and AWS Glue
A typical machine learning (ML) workflow involves processes such as data extraction, data preprocessing, feature engineering, model training and evaluation, and model deployment. As data changes over ...
BERT inference on G4 instances using Apache MXNet and GluonNLP: 1 million requests for 20 cents
Bidirectional Encoder Representations from Transformers (BERT) [1] has become one of the most popular models for natural language processing (NLP) applications. BERT can outperform other models in sev...
What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services
- Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions...
