by Bhagvan Kommadi [pdf-embedder url="https://itabok.iasaglobal.org/wp-content/uploads/2016/08/Customer_Churn_Post.pdf"]
by Matt Klewonn Click HERE to view the full presentation
by Bhagvan Kommadi The machine learning based algorithm uses various factors like relationship manager,age, preferences and social media postings. The semantic analysis is used for analyzing unstructured data from the social media postings. The structured data analysis uses regression, classification and clustering methods.
by Brent Jackson This is an introduction to Machine Learning and the impact it is having on business and technology today.
by Mark Montgomery This talk is based on two decades of R&D in AI systems, including several years in exploring use cases with management teams in global companies. Highlights of the talk include: Governance within the confines of applicable laws: Physics, economics and governments Benefits of a unified network architecture: Interoperability, scalability and ROI Quick
By Adj. Prof. Giuseppe Mascarella & Jacek Laskowski Apache Spark 2.0 and Scala have been designed to build mission critical applications that address the needs of processing distributed etherogenus data sets. For architects, Spark integrates Data Warehouse and Development domains, it can handle 100X faster the multi-node multi-threaded computing needs of demanding scenarios. In this session
6 Iasa August eSummit – Cracking The Data Science Code – 5 Essentials Skills to Distil Raw Data Into Gold
By Wee-Hyong Tok How do businesses and data scientists work together to distil raw data into intelligent action? Why do some companies drown in volumes of data, while some companies thrive on turning the data into golden strategic advantages? This talk is based on practical experiences from working on various exciting data science projects From
By Louis Columbus By relying on machine learning to gain greater visibility from the shop floor to the top floor, manufacturers are earning greater customer trust and sales while reducing costs and wasted time. The five ways machine learning is revolutionizing manufacturing, from customer relationships through service and support, are provided in this presentation.