Internship Insights: Machine Learning at Nestlé

Related lectures (32)

Page 3 of 4

Covers the principles of data stream processing and its applications in real-time data analysis.

Covers pivoting and value proposition in software development, emphasizing customer validation and the Dropbox case study.

Explores marketing and sales fundamentals, lead generation, KPI tracking, and customer communication strategies for business growth.

Explores the basics of strategy, market positioning, and the value proposition, emphasizing the importance of a compelling value proposition.

Explores crowdfunding for entrepreneurs, including benefits, practical tips, and key players.

Explores technology evolution in the telco industry, focusing on digitalization, 5G, IoT, big data, and smart working.

Explores urban logistics challenges, solutions, human biases, and digital supply chains.

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Examines online grocery supply chains, customer preferences, market data, and operational models of Ocado and Tesco.com.