Towards AI

SEPTEMBER 27, 2023

In previous articles, we explored how SageMaker can accelerate the processes of data understanding, transformation, and feature creation in model development. Data quality and coverage play a key role in the outcomes of the model. Avoid overfitting: The model should understand patterns, not just memorize them.

Data Scientist 62

Data Scientist Auto-complete Automation Algorithm 62

AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

Auto-classification 67

Auto-classification Auto-complete Machine Learning Metadata 67

Snorkel AI

FEBRUARY 8, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources—such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models —and then scale this knowledge to label large quantities of data.

Auto-complete 52

Auto-complete Data Quality Machine Learning Data Science 52

Snorkel AI

FEBRUARY 8, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources—such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models —and then scale this knowledge to label large quantities of data.

Auto-complete 52

Auto-complete Data Quality Machine Learning Data Science 52

Pickl AI

APRIL 9, 2023

This report exhibits a complete data presentation, making it easier to understand the information stored behind it. It works on cognitive technology, which uses rephrasing, auto-fill and suggestions to fulfil the user’s search requirements. The post Power BI Tutorial– A Complete Guide appeared first on Pickl AI.

Auto-complete 52

Auto-complete Business Intelligence Data Quality AI 52

Viso.ai

DECEMBER 18, 2023

1: Variational Auto-Encoder. A Variational Auto-Encoder (VAE) generates synthetic data via double transformation, known as an encoded-decoded architecture. First, it encodes the real data into a latent space (a lower-dimensional representation). Then, it decodes this data back into simulated data.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

AWS Machine Learning Blog

JULY 31, 2023

A perfect F1 score of 1 indicates that the model has achieved both perfect precision and perfect recall, and a score of 0 indicates that the model’s predictions are completely wrong. Finally, when it’s complete, the pane will show a list of columns with its impact on the model.

Auto-classification 77

Auto-classification Machine Learning ML Auto-complete 77

Chatbots Life

MAY 19, 2023

Your staff can auto-resolve issues using this ticketing system. They achieve this by asking the user for input, seeking confirmation, and collecting essential data for back-end business systems, boosting data quality and avoiding mistakes. Modern service desks offer an automated ticketing system for staff.

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Chatbots Automation Auto-complete Natural Language Processing 95

The MLOps Blog

JULY 18, 2023

We strive to do that, but sometimes you run into a corner where you have no choice but to really get quality results you have to do that. But it’s absolutely critical for most people in our space that you do some type of auto-scaling. How do you ensure data quality when building NLP products? Data quality is critical.

Conversational AI 52

Conversational AI Natural Language Processing AI AI 52

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.

Prompt Engineer 75

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 75