Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 64

AI AI Data Scientist Neural Network 64

Pickl AI

APRIL 26, 2024

Their ability to translate raw data into actionable insights has made them indispensable assets in various industries. It showcases expertise and demonstrates a commitment to continuous learning and growth. Additionally, we’ve got your back if you consider enrolling in the best data analytics courses.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 59

AI AI Data Scientist Neural Network 59

Pickl AI

AUGUST 1, 2023

Data Processing: Performing computations, aggregations, and other data operations to generate valuable insights from the data. Data Integration: Combining data from multiple sources to create a unified view for analysis and decision-making.

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

Heartbeat

SEPTEMBER 25, 2023

Data quality and interoperability are essential challenges that must be addressed to ensure accurate and reliable predictions. Access to comprehensive and diverse datasets is necessary to train machine learning algorithms effectively.

Machine Learning 52

Machine Learning Algorithm Data Scientist Automation 52

Pickl AI

JANUARY 16, 2024

Problem-Solving Aptitude for identifying and resolving data-related challenges. Continuous Learning Commitment to staying updated on industry trends and emerging technologies. Time Management Efficient organisation and prioritisation of tasks for optimal productivity.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Unite.AI

JANUARY 11, 2024

In summary, text embeddings trained on LLM-generated synthetic data establish new state-of-the-art results, while using simpler and more efficient training compared to prior multi-stage approaches. With further research intoprompt engineering and synthetic data quality, this methodology could greatly advance multilingual text embeddings.

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Large Language Models Prompt Engineer Prompt Engineering BERT 147

The MLOps Blog

APRIL 20, 2023

Regularization techniques: experiment with weight decay, dropout, and data augmentation to improve model generalization. Managing data quality and quantity : managing data quality and quantity is crucial for training reliable CV models.

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Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

DataRobot Blog

DECEMBER 20, 2022

As discussed in the previous article , these challenges may include: Automating the data preprocessing workflow of complex and fragmented data. Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events.

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Explainability Automation AI AI 59