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Related lectures (32)

Page 3 of 4

Emerging Memory II

Explores challenges in memory hierarchies, TB-scale address spaces, and optimizing performance through near-memory processing.

Singular Value Decomposition

Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.

Big Data Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Elements of Collaborative Data Science

Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.

Nexus Fusion: Collaborative Data Discovery

Covers Nexus Fusion, a platform for collaborative data and knowledge discovery, including data management, presentation, and searching.

Data Virtualization Demo: SmartDataLake

Showcases a demo on adaptive data virtualization in SmartDataLake, focusing on assembling company profiles and executing join queries across datasets.

Collaborative Data Science: Tools and Git Workflow

Explores tools like Git and Docker for collaborative data science projects.

ServiceNow: Creating Dashboards and Reports

Explores creating dashboards in ServiceNow, focusing on advantages, transition from homepages, and important concepts like tasks and incidents.

Big Data: Challenges and Implications

Explores the challenges and implications of Big Data, emphasizing the importance of data quality and ethical considerations.

Logistic Regression: Vegetation Prediction

Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.