ML Deployment Challenges and Food Distribution System

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Related lectures (32)

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Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Food Production: Systems and Challenges

Explores food production systems, historical context, hunger factors, and food security dimensions.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Artificial Intelligence: The New Radical Addition to Work

Explores the convergence of IoT, Big Data, and Deep Learning in Artificial Intelligence applications across various industries.

Integrative Food & Nutrition Center: Overview

Gives an overview of EPFL's Integrative Food & Nutrition Center activities and achievements.

Global Food Challenges

Covers global food challenges, including food security, nutrition, sustainability, and the impact of climate change on agriculture.

Apache Spark Ecosystem: Basics and Operations

Provides an overview of the Apache Spark ecosystem, covering basics, operations, and key components.

Data Warehouses and Data Lakes

Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.

Digital Transformation: Solutions and Data

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

Food and Urban Planning

Delves into the historical link between food production and urban development, analyzing the evolution of city planning through the lens of agriculture.