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OverviewFull Product DetailsAuthor: Stylianos KampakisPublisher: APress Imprint: APress Edition: Second Edition Weight: 0.454kg ISBN: 9781484254936ISBN 10: 1484254937 Pages: 156 Publication Date: 27 November 2019 Audience: Professional and scholarly , Professional & Vocational Replaced By: 9798868802782 Format: Paperback Publisher's Status: Out of Print Availability: Manufactured on demand ![]() Table of ContentsChapter 1: Demystifying Data Science and All the Other Buzzwords.- Chapter 2: Data Management.- Chapter 3: Data Collection Problems.- Chapter 4: How to Keep Data Tidy.- Chapter 5: Thinking like a Data Scientist (Without Being One).- Chapter 6: A Short Introduction to Statistics.- Chapter 7: A Short Introduction to Machine Learning.- Chapter 8: Problem Solving.- Chapter 9: Pitfalls.- Chapter 10: Hiring and Managing Data Scientists.- Chapter 11: Building a Data-Science Culture.- Chapter 12: Epilogue: Data Science Rules the World.- Appendix A: Tools for Data Science.-ReviewsAuthor InformationDr. Stylianos (Stelios) Kampakis is a data scientist who lives and works in London, UK. He holds a PhD in Computer Science from University College London, as well as an MSc in Informatics from the University of Edinburgh. He also holds degrees in Statistics, Cognitive Psychology, Economics and Intelligent Systems. He is a member of the Royal Statistical Society and an honorary research fellow in the UCL Centre for Blockchain Technologies. He has many years of academic and industrial experience in all fields of data science like statistical modelling, machine learning, classic AI, optimization and more. Throughout his career, Stylianos has been involved in a wide range of projects: from using deep learning to analyze data from mobile sensors and radar devices, to recommender systems, to natural language processing for social media data to predicting sports outcomes. He has also done work in the areas of econometrics, Bayesian modelling, forecasting and research design. He also has many years of experience in consulting for startups and scale-ups, having successfully worked with companies of all stages, some of which have raised millions of dollars in funding. He is still providing services in data science and blockchain, as a partner in Electi Consulting. In the academic domain, he is one of the foremost experts in the area of sports analytics, having done his PhD in the use of machine learning for predicting football injuries. He has also published papers in the areas neural networks, computational neuroscience and cognitive science. Finally, he is also involved in blockchain research and more specifically in the areas of tokenomics, supply chains and securitization of assets. Stylianos is also very active in the area of data science education. He is the founder of The Tesseract Academy, a company whose mission is to help decision makers understand deep technical topics such as machine learning and blockchain. He is also teaching “Social Media Analytics”, and “Quantitative Methods and Statistics with R” in the Cyprus International Institute of Management, and runs his own data science school in London called Datalyst. He often writes about data science, machine learning, blockchain and other topics at his personal blog: The Data Scientist (thedatascientist.com). Tab Content 6Author Website:Countries AvailableAll regions |