Matthew Renze | Devoxx

Matthew Renze
Matthew Renze Twitter

From Renze Consulting

Matthew is a data science consultant with over 17 years of professional experience. He is an international public speaker, an author for Pluralsight, a Microsoft MVP, an ASPInsider, and an open-source software contributor. His interests include data analytics, data visualization, and machine learning.

For more information, please visit his website at: http://www.matthewrenze.com

Blog: http://www.matthewrenze.com

bigd Big Data, Machine Learning, AI & Analytics

Practical Data Science with R

Training

Data science is the practice of transforming data into knowledge. R is the most popular programming language used by data scientists. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world around us.

In this training, we’ll learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight. In addition, we’ll learn how to transform and clean our data, create and interpret descriptive statistics, data visualizations, and statistical models. We’ll also learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.

(*) This a paid full day training on Nov 14 organized by xHub. Get in touch with us at h@x-hub.io for more details

bigd Big Data, Machine Learning, AI & Analytics

Artificial Intelligence: The Future of Software

Keynote

Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies will radically transform our economy, our society, and our lives. As a result, the software industry is preparing for a major transition as well. However, most developers do not yet possess the skills necessary to remain relevant in our new data-driven economy.

In this session, we will learn about modern Artificial Intelligence and why it's so important to our future. We'll also learn how a series of modern technologies including The Internet of Things, Big Data, and Machine Learning are combining to create fully autonomous intelligent system.