Big Data/Data Science

Abdishakur Hassan  is a geographic information systems (GIS) expert and consultant with over 5 years of experience working with UN Habitat. He holds an MSc in geoinformation science and earth observations. During his tenure as a GIS expert, Abdishakur has developed fully fledged GIS applications in the urban planning and land administration domains. He is interested in all things related to geospatial data science.

Andrew Berridge  is a data scientist at TIBCO Software Ltd. He has 10 years' experience with TIBCO Spotfire-first as an end user and latterly (for nearly 8 years) as a TIBCO employee. He is a world-renowned Spotfire expert and has assisted with selling Spotfire and implementing it for many customers. He has also developed parts of the latest versions of Spotfire, being on the team that implemented the AI-Driven Recommendations feature in Spotfire X. Prior to his role at TIBCO, Andrew was an internal consultant at one of the world's largest pharmaceutical companies.

Alberto Paro  is an engineer, project manager, and software developer. He currently works as Big Data Practice Leader in NTTDATA in Italy on big data technologies, native cloud, and NoSQL solutions. He loves to study emerging solutions and applications mainly related to cloud and big data processing, NoSQL, NLP, and neural networks. In 2000, he graduated in computer science engineering from Politecnico di Milano.

Edward L. Platt  creates technology for communities and communities for technology. He is currently a researcher at the University of Michigan School of Information and the Center for the Study of Complex Systems. He has published research on large-scale collective action, social networks, and online communities. He was formerly a staff researcher at the MIT Center for Civic Media. He contributes to many free/open source software projects, including tools for media analysis, network science, and cooperative organizations.

Sudharsan Ravichandiran  is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelors in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He used to be a freelance web developer and designer and has designed award-winning websites. He is an open source contributor and loves answering questions on Stack Overflow.

Ivan Marin  is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in São Paulo, and has given Python for data science courses at university level.

Tommy Blanchard  earned his PhD from the University of Rochester and did his postdoctoral training at Harvard. Now, he leads the data science team at Fresenius Medical Care North America. His team performs advanced analytics and creates predictive models to solve a wide variety of problems across the company.

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of their data, and process it in more intelligent ways. 

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.

Optimize your marketing strategies through analytics and machine learning

Introduction to Data Science: Data Analysis and Prediction Algorithms with R  introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you...

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need,  Big Data: Storage, Sharing, and Security  examines Big Data management from an R&D perspective. It covers the 3S designs—storage, sharing, and security—through detailed descriptions of Big Data concepts and implementations.