
Transformers, explained: Understand the model behind GPT, BERT, and T5
- Frank
- June 18, 2022
- AutoML
- automl transformer
- Bert
- Dale Markowitz
- GDS: Yes
- Google Cloud
- how do transformers work
- Machine Learning
- Making with Machine Learning
- Making with ML
- ML
- pr_pr: Google Cloud
- purpose: Educate
- series: Making with Machine Learning
- transformer
- transformer model
- transformer models
- Transformers
- transformers explained
- transformers machine learning
- transformers ml
- type: DevByte+
- understanding transformers
Curious how an ML model could write a poem or an op ed? Transformers can do it all. In this episode of Making with ML, Dale Markowitz explains what transformers are, how they work, and why they’re so impactful. Over the past few years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural language […]
Read More
Is Auto ML Going to Kill Data Science Jobs?
Is Auto ML going to kill data science jobs? I’ve often asked myself the same question and appreciate codebasics’ analysis and thoughts found in this video.
Read More
Azure Machine Learning [December 2021]
- Frank
- December 8, 2021
- AI
- AI Insights
- artificial intelligence
- Auto ML
- AutoML
- Azure AI
- Azure Machine Learning
- Azure ML
- BlueGranite
- classification
- Data
- Data Science
- Databricks
- Jupyter
- Microsoft
- ML models
- Power BI
- Power BI AI
- power bi demo
- Power BI Machine Learning
- Power BI Premium
- power bi tutorial
- Power Query
- Python
- Swagger
Join Dr. Tom Weinandy and Nick Miller for a December session of Azure Machine Learning Immersion!
Read More
Ramping up your custom NLP tasks with Verseagility
- Frank
- September 18, 2021
- AI Show
- ai show live
- ARM Templates
- AutoML
- Azure
- Azure CLI
- Azure ML
- Cognitive Services
- Config file
- CSV
- Data Science
- Docker
- farm
- Flair
- Gensim
- GitHub
- huggingface transformers
- JSON
- Machine Learning
- Microsoft
- Microsoft Developer
- Natural Language Processing
- NLP
- Python
- SpaCy
- Verseagility
- VS Code
On this episode of the AI Show, Timm Walz joins Seth to talk about how ramping up your custom NLP tasks with Verseagility will benefit your data science workflow. He’ll demonstrate how to use the toolkit in combination with Azure Machine Learning.
Read More
Scaling AutoML-Driven Anomaly Detection with Luminaire
Zillow has built an orchestration framework around Luminaire, our open-source python library for hands-off time-series Anomaly Detection. Luminaire provides a suite of models and built-in AutoML capabilities which they process with Spark for distributed training and scoring of thousands of metrics. In this talk, learn the architecture of this framework and performance of the Luminaire […]
Read More
Dataiku End-to-End Demo
- Frank
- August 31, 2021
- ai applications
- ai ethics
- AI Use Cases
- Analytics
- Auto ML
- Automation
- AutoML
- Big Data
- Conference
- Data
- Data Analyst
- Data Analytics
- Data Best Practices
- Data Engineering
- Data Ethics
- Data Science
- Dataiku Product Demo
- DSS Application
- DSS Concept
- Enterprise AI
- Free Training
- Machine Learning
- product
- Tech
- Tech Conference
This demo uses a project that predicts flight delays to demonstrate connecting to data, preparing and enriching it, building machine learning models, and operationalizing your work entirely in Dataiku.
Read More
New Video Upload : Priya Ravindhran on Automated ML
Priya Ravindhran on Automated ML
Read More
Accelerate Your Data Science Projects with Azure AutoML
Here’s a great session from the recent Global Azure Data & AI Fest: Accelerate Your Data Science Projects with Azure Machine Learning’s AutoML Feature” delivered by Jon Tupitza.
Read More
Erin Ledell on AutoML
Databricks hosts this great show, called Data Brew and this episode they cover AutoML. Erin LeDell shares valuable insight on AutoML, what problems are best solved by it, its current limitations, and her thoughts on the future of AutoML. We also discuss founding and growing the Women in Machine Learning and Data Science (WiMLDS) non-profit.
Read More