Lectures related to Internship Insights: Machine Learning at Nestlé

Data-Driven Retail Strategy

Explores 7-Eleven Japan's data-driven retail strategy for competitive advantage and operational excellence, focusing on IT systems, brand awareness, and product freshness.

AI/ML in Enterprises

Explores how AI/ML is shaping the future workplace, focusing on enterprise systems and processes, and discusses the current state of AI/ML adoption in enterprises.

Customer-Oriented Organizations

Explores customer-oriented organizations, satisfaction, loyalty, and value in marketing.

The Sustainable Business Model Canvas: The Customer

Explores customer segments, value proposition, and the triple bottom line.

Entrepreneurial Marketing: Value Proposition

Emphasizes the importance of a strong value proposition in entrepreneurial marketing.

Strategic Marketing: Understanding Customer Needs and Value Proposition

Explores strategic marketing, customer needs, and value proposition for successful marketing strategies.

Understanding Customers and Competition: Key Steps and Analysis

Emphasizes the key steps in understanding customers and competition for new ventures.

Sustainability of Technology: Robotics and Developments

Explores sustainability and developments in robotics technology, focusing on customer value, collaborative palletizing, and the Delta Model.

Customer Marketing Strategies

Explores consumer buying process, loyalty, segmentation, targeting, and positioning in marketing, with examples from the U.S. premium wine market.

Entrepreneurial Marketing: Customer Needs & Competition

Explores understanding customer needs, customer value, and analyzing competition for entrepreneurial success.

Value Proposition: Creation, Delivery, Capture

Explores the creation, delivery, and capture of value for customers through the concept of value proposition.

Data Cleaning Challenges: Optimizing Error Detection

Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.

Go to Market Strategy

Covers the essentials of a Go to Market (GTM) strategy and emphasizes understanding target buyers, product positioning, and effective sales strategies.

Sustainable Construction Materials: Reuse and Resell Strategy

Explores a startup's strategy to promote sustainability through reusing and reselling construction materials, focusing on market positioning, sales tactics, and community engagement.

Recurrence: Examples

Covers various examples related to recurrence, including mathematical formulas and calculations.

Understanding Customers & Competition

Emphasizes understanding customer needs, values, and competitor analysis for entrepreneurial success.

Generalization Error

Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.

Machine Learning Basics

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Unsupervised Learning: Clustering & Dimensionality Reduction

Introduces unsupervised learning through clustering with K-means and dimensionality reduction using PCA, along with practical examples.