List of Selected Publications, Blogs Posts, Courses and Presentations
Richard Freeman, “Solving the medical device industry’s biggest challenge using generative AI”, Vamstar Blog Post, 5 September 2023 [Link]
Richard Freeman, “Yoga Sutras 3 to 8 limbs linked to data science, development, and machine learning engineering [part II]”, Medium Blog Post, 25 January 2023 [Link]
Richard Freeman, “Yoga Sutras 1 & 2 limbs linked to data science, development, and machine learning engineering [part I]”, Medium Blog Post, 8 January 2023 [Link]
Richard Freeman, “Get to know our Wolfpack Leader, Richard Freeman, Co-Founder and CTO Data”, Vamstar blog, 07 December 2022 [Link]
Richard Freeman, “High Impact AI healthcare jobs from my experience”, Towards Data Science, Medium Blog Post, 13 June 2022 [Link]
Richard Freeman, “Vamstar, Antler Founders Ask Me Anything”, Antler, online panel cohort event, 26 August 2021.
Richard Freeman, “Data Science, Artificial Intelligence and Graphical Processing Units in Real World Products”, Episode 06 of Vast Value by Vamstar, Podcast, 5 May 2021 [Link]
Richard Freeman, “Scalable Serverless Solutions and Products”, Episode 05 of Vast Value by Vamstar, Podcast, 16 April 2021 [Link]
Richard Freeman, “3 Areas Missing From Data Science Courses You Should Know”, Towards Data Science, Medium Blog Post, 8 February 2021 [Link]
Richard Freeman, “Vamstar, Antler Founders Ask Me Anything”, Antler, online panel cohort event, 19 November 2020.
Richard Freeman, “AI-powered COVID-19 supplier risk index and demand planning toolkit”, Health Artificial Intelligence – COVID-19 fast response cohort event, 21 October 2020.
Richard Freeman, “When to NOT use and use AI based on my experience”, Medium Blog Post, 23 July 2020 [Link]
Richard Freeman,”The Future of AI Startups – AI Innovation x Antler”, Online Panel in Sweden, 16 June 2020 [meetup][link]
Richard Freeman, “Science2Innovation launch party – AI, ML & Data Science”, WeWork, London, UK, 23 October 2019 [Link]
Richard Freeman, “How to Implement Microservices Patterns using Serverless Architectures”, Cloud and DevOps World, TechXLR8, ExCeL, London, UK, 12-13 June 2019 [Link]
Richard Freeman, interview “How to get hold of the data science talent your business needs”, IT Pro, Machine Learning, 29 May 2019 [Link]
Richard Freeman, panelist “Panel: AI for Social Good”, AI Technology Solution, AI & Big Data Expo Global, Olympia, London, UK, 25-26 April 2019 [Link]
Richard Freeman, “Building Serverless Microservices in Python”, Packt Publishing, Paperback, 29 March 2019 [Amazon] [Amazon UK] [O’Reilly Safari Books] (ISBN-13: 978-1789535297)
Richard Freeman, interview “Want to be a data scientist? Five ways to get that job in data science”, ZDNet, 19 March 2019 [Link]
Richard Freeman, “Recommendations for Working in Data Science, AI and Big Data Based on my Personal Experience”, opinions Blog Post, KDnuggets, 18 March 2019 [Link]
Richard T Freeman, “Architecture Patterns for Implementing Serverless Microservices and Stream Processing”, Big Data LDN Meetup, The Blueprint Series: Principles of Modern Data Architecture, CodeNode, London, UK, 14 March 2019 [Link][Video]
Richard Freeman panelist “Panel: What impact have women had on the world of technology?”, Funny Women & Techerati present HERlarious, Excel, London, 12 March 2019 [Link]
Richard Freeman panel chair “Building, Running and Measuring Machine Learning in Production”, Big Data + AI Tech World, Cloud Expo Europe, Excel, London, 12-13 March 2019 [Link]
Richard Freeman panel chair “Panel: Invest in Skills for Machine Learning Success”, Big Data + AI Tech World, Cloud Expo Europe, Excel, London, 12-13 March 2019 [Link]
Richard Freeman, “How JustGiving turns data into donations with Richard Freeman, PhD”, Techerati, Big Data and AI World Promotion , 25 February 2019 [Video]
Richard Freeman, “JustGiving’s RAVEN platform turns data into donations”, Techerati, Features Hub, 22 February 2019 [Link]
Richard Freeman, “Recommendations for Working in Data Science, AI and Big Data Based on my Personal Experience”, Freecodecamp, Medium Blog Post, 30 January 2019 [Link]
Richard Freeman, “Building a Serverless Microservice CRUD RESTful API with MongoDB”, Medium Blog, 29 Janurary 2019 [Link]
Richard Freeman, “Using machine learning and graph analytics to detect fraud in high volume consumer facing websites”, Cyber Security Summit & Expo, London, UK, 15 November, 2018 [Link]
Richard Freeman, “Learning Path: Serverless Microservices on AWS in 10 Hours”, Online Video Course, Packt Publishing, Novermber, 2018 [Udemy][O’Reilly Safari Books]
Richard Freeman, “Peer-to-Peer Insight: Using Data Science for Personalisation, Predictions, and New Connections”, BBCon UK 2018, London, UK, 30-31 October, 2018 [Link]
Richard Freeman, “Peer-to-Peer Insight: Using Data Science for Personalization, Predictions, and New Connections”, BBCon 2018, Orlando, Florida, USA, 9-11 October, 2018 [Link]
Richard Freeman, “Serverless and Lambdaless Scalable CRUD Data API with AWS API Gateway and DynamoDB”, Medium Blog, 22 July, 2018 [Link]
Richard T Freeman, “Why We Need Women in AI”, Medium Blog, 13 July, 2018 [Link]
Richard Freeman, “Derive Hidden Connections in Your Data Using Natural Language Processing and Graph Analytics”, AI Summit, ExCeL, London, 13 June, 2018
Richard Freeman, “Panel Hosted by Girl Guiding UK: Why We Need Women in AI”, Inclusive Innovation, Panelist at TechXLR8, ExCeL, London, 12 June, 2018 [Overview]
Richard T. Freeman, “Implementing Serverless Microservices Architecture Patterns”, Online Video Course, Packt Publishing, May, 30, 2018 [Packt][O’Reilly Safari Books][Udemy]
Richard Freeman, Conference Host at Big Data & Machine Learning O’Reilly Strata Data Conference, London, 22-24 May, 2018
Richard T. Freeman, “Building a Scalable Serverless Microservice REST Data API”, Online Video Course, Packt Publishing, March, 1, 2018 [Packt] [O’Reilly Safari Books][Udemy]
Richard Freeman, “Combining NLP and Graph Analytics to Delivery Deeper Customer Understanding of Your Consumers and Clients”, AI Congress, The O2, London, January, 30, 2018
Richard Freeman, “Using your skills to get involved in tech for good”, Medium Blog Post, January 3, 2018 [Link]
Richard Freeman, “Data Skills for the Future : Positioning the UK for success in a data driven world”, Invited Guest Panelist, TechUK, Nesta, London, September, 14, 2017 [Link][Overview]
Richard Freeman, “Serverless Meetup”, Invited Guest Speaker, BEEVA, Madrid, Spain, March 23, 2017 [Abstract] [Interview][Slides]
Richard Freeman, “JustGiving: Serverless Data Pipelines, Event-Driven ETL, and Stream Processing (BDM303)”, Advanced Big Data Breakout Session, AWS Re:Invent, Las Vegas, USA, November 29 & 30, 2016 [Abstract][Slides]
Richard Freeman, “Big Data Mini Conference State of the Union (BDM205)”, Invited Guest Speaker at the Big Data Plenary Session, AWS Re:Invent, Las Vegas, USA, November 29, 2016 [Abstract]
Richard Freeman, “Interview October Big Data Hero”, TechUK, London, October 2016 [TechUK Interview Link]
Richard Freeman, “Serverless Cross Account Stream Replication Using AWS Lambda, Amazon DynamoDB, and Amazon Kinesis Firehose”, AWS Compute Blog, August 3, 2016 [Link]
Richard Freeman, “Analyze a Time Series in Real Time with AWS Lambda, Amazon Kinesis and Amazon DynamoDB Streams”, AWS Big Data Blog, March 17, 2016 [Link]
Richard Freeman, “Serverless Dynamic Real-Time Dashboard with AWS DynamoDB, S3 and Cognito”, Medium Blog, February 26, 2016 [Link]
Richard Freeman, “Real Time Web Analytics with AWS Kinesis, DynamoDB and Redshift”, Technical Track 5: DynamoDB Deep Dive, presented at the AWS Summit, London, April 15, 2015
Richard Freeman, “AWS Case Study: JustGiving”, AWS Case Study, April 10, 2015 [Link]
Richard Freeman, “Detecting insider dealing using complex event processing” Capgemini thought leadership technical white paper, 2010 [Abstract]
Richard Freeman, “Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps” in Proceedings of the Tenth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’09), Lecture Notes in Computer Science (LNCS 5788), Springer, 23-26 September, 2009, pp. 368-375 [Abstract][PDF]
Richard Freeman, “Enterprise Search Trends” Capgemini white paper overview, April 2008 [Abstract]
Richard Freeman, “Topological Tree Clustering of Social Network Search Results” in Proceedings of the Eight International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’07), Lecture Notes in Computer Science (LNCS 4481), Springer, 16-19 December, 2007, pp. 760-769 [Abstract]
Richard T. Freeman, “Topological Tree Clustering of Web Search Results” in Proceedings of the Seventh International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’06), Lecture Notes in Computer Science (LNCS 4224), Springer, 20-23 September, 2006, pp. 789-797 [Abstract]
R Freeman and H Yin, “Web Content Management by Self-Organisation,” IEEE Transactions on Neural Networks, Special Issue on Adaptive Learning Systems in Communication Networks, Vol. 16(5), pp. 1256-1268, 2005 [Abstract] [PDF].
Richard Freeman and H Yin, “Tree view self-organisation of web content,” Neurocomputing, Vol. 63, pp. 415-446, 2005 [Abstract].
Richard T. Freeman, “Web Document Search, Organisation and Exploration Using Self-Organising Neural Networks”, PhD Thesis, School of Electrical & Electronic Engineering, Faculty of Engineering and Physical Sciences, University of Manchester, 2004 [Abstract].
Richard Freeman and Hujun Yin, “Topological Tree for Web Organisation, Discovery and Exploration” in Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’04), Lecture Notes in Computer Science (LNCS 3177), Springer, 25-27 August, 2004, pp. 478-484. [Abstract].
Richard T. Freeman and Hujun Yin, “Adaptive Topological Tree Structure for Document Organisation and Visualisation”, Neural Networks, 17(8-9):1255-1271, 2004 [Abstract] [PDF].
H Yin, N M Allinson, R Freeman, J Keane, and S Hubbard (Eds.), Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science (LNCS 2412), Springer: Berlin, 2002. [Amazon]
Richard Freeman and Hujun Yin, “Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information”, in Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’02), Lecture Notes in Computer Science (LNCS 2412), Springer-Verlag, 12-14 August, 2002, pp. 123-128. [Abstract]
Richard Freeman, Hujun Yin and Nigel M. Allinson, “Self-Organising Maps for Tree View Based Hierarchical Document Clustering”, in Proceedings of the International Joint Conference on Neural Networks (IJCNN’02) part of the IEEE 2002 World Congress on Computational Intelligence (WCCI 2002), Honolulu, Hawaii, 12-17 May, 2002. vol. 2, pp. 1906-1911. [Abstract][PDF]
Richard Freeman and Hujun Yin, “Automated Document Organisation Using Self-Organising Maps” at EPSRC PREP 2002, Nottingham University, UK, 17-19 April 2002.
Richard Freeman, “Self-Organising Maps for automated hierarchical clustering and labelling of Web documents”, MPhil dissertation, University of Manchester, 2001