कोर्स
6077 कोर्स
Synthetic Data Generation and Applications in Python
Discover how to generate synthetic data for machine learning and data analysis projects, with practical Python examples and implementation strategies.
High Performance Machine Learning, Deep Learning, and Data Science - Principles and Practice
Master high-performance computing principles for machine learning and deep learning, focusing on practical implementation strategies and advanced techniques for optimizing data science workflows.
Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
Explore how prefix-tuning offers an efficient alternative to LLM fine-tuning for data wrangling tasks, requiring minimal parameter updates while maintaining comparable performance in data integration and cleaning.
Humans and AI: Understanding LLM Impact on Human Decision Making
Explore the synergistic potential between humans and LLMs in decision-making tasks, examining active learning, ML fairness, and collaborative approaches to AI implementation.
Use of AI in Modern Data Visualization - Making Complex Data Sets Accessible
Explore how AI-driven tools revolutionize data visualization creation and consumption, making complex datasets more accessible and actionable while enhancing developer productivity.
The Power of AI in a Forward Networks Digital Twin
Discover how generative AI enhances network digital twin technology, enabling natural language queries for instant access to critical network insights and data analysis capabilities.
Moving Data Platforms to Knowledge Platforms - From Data Architecture to Enterprise AI
Discover how knowledge platforms and graphs revolutionize enterprise AI by transforming traditional data architectures into dynamic, context-rich knowledge systems for enhanced data utilization.
Data Contracts Are Good for AI
Discover how data contracts and the ODCS standard enhance AI development, focusing on Bitol's open-source tools for modern data engineering and contract enforcement.
Secure Numerical Computing is Hard: Lessons from 10 Years of Open Data Science and the Long Road Ahead
Explore key security challenges and lessons learned from a decade of open data science, focusing on enterprise adoption of ML/AI technologies and emerging threats in numerical computing.
A Practitioner's Guide to Safeguarding LLM Applications
Master essential techniques for securing and optimizing LLM applications, from structured outputs to data protection, with hands-on practice using open-source tools for enhanced reliability and performance.
Real-Time Event Streaming Patterns for AI-Native Applications
Explore how event streaming patterns power AI applications through real-time analytics, data enrichment, and stream processing for enhanced intelligence and reliable infrastructure.
Excel Pivot Tables Tutorial - Lesson 9-1
Master pivot tables in Excel through hands-on demonstrations and practical techniques for analyzing, summarizing, and presenting complex data effectively.