Beginning Data Science, Iot, and AI on Single Board Computers

Gain a solid foundation of key concepts for the data science field and shows readers how to apply them using simple technology Connect to IoT platforms and use them to understand how to work with data through this text aimed at non-technical readers Develop skills that lead to tangible ways to have an impact on climate change and climate action

Autorentext

Pradeeka Seneviratne, a graduate from the Sri Lanka Institute of Information Technology (SLIIT), has almost two decades of experience working on large and complex IT projects related to the industrial world in a variety of fields, in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Pradeeka has also authored several books related to the maker category including Beginning BBC micro:bit (Apress), Beginning LoRa Radio Networks with Arduino (Apress) and Building Arduino PLCs (Apress).
Philip Meitiner has a background in applied mathematics, psychology, market research, and ed-tech. Philip was was on the original founding members of the Micro:bit Education Foundation where he helped establish the Foundation and is responsible for creating and nurturing the ecosystem, building the reseller and peripheral network and managing the sponsorship scheme (which sawmore than 30,000 micro:bits donated to disadvantaged schools in 55 counties). Philip continues to work in the ed-tech sector as a consultant providing services to companies involved with micro:bit. This eclectic mix of careers and experience has instilled in Philip a deep understanding of what it is like to embark on a new learning journey. In addition, his experiences in teaching, market research and IT have given him the perfect mix of skills and knowledge necessary to craft this book.

Inhalt
Chapter 1: Introduction to Data Science in the Classroom.- Chapter 2: Data Science Goes Digital.- Chapter 3: Experimenting with Weather.- Chapter 4: Working with Large Data Sets.- Chapter 5: Introduction to Data Analysis.- Chapter 6: Introducing IoT to Data Science.- Chapter 7: Using Bluetooth for Data Science.- Chapter 8: Investigating the micro:bit Radio.- Chapter 9: Using WiFi to connect to the Internet.- Chapter 10: Introduction to Machine Learning and Artificial Intelligence.- Chapter 11: Using ML services.- Chapter 12: Connecting an edge device to the IoT application.- Chapter 13: Consolidating our Learnings.