Who are the top data mining experts you should follow?

Yann LeCun's work on deep learning was something truly novel and helped change what the possibilities of data could really do. He made pioneering contributions to deep learning and CNN, leading to the use of image and video recognition. Something we all are used to now, but only because his efforts made it possible. Not only does he contribute to innovative research in areas of AI and machine learning, when also provides educational content to share his knowledge. His involvement in the AI and machine learning community allow aspiring professionals to connect with him.

Jiawei Han is renowned for his research in data mining, database systems, and data warehousing. His work on mining sequential patterns, clustering, and classification has been highly influential. He has made pioneering contributions to the development and understanding of algorithms and methods for data mining, including but not limited to, the areas of frequent pattern mining, classification, clustering, and outlier detection. Following Jiawei Han can offer numerous benefits for both seasoned professionals and newcomers in the field of data science and analytics for several reasons such as his research, educational contributions and textbooks, and inside into future trends.

My personal favourite expert on this list has to be Hadley Wickham. Starting off as a young grad student with no background in data, everything I learned was using RStudio and the compilation of different literature by Hadley Wickham. What I love about his work is that it covers all major topics of data science and analytics, and all of the content is absolutely free. Being able to use his packages were a further help in learning about data and the different ways we can use it. It's no secret that ggplot2 is considered one of the best data visualization tools out there.

Jennifer Stirrup is another influential data mining expert to consider. I relate to her background (she majored in Psychology and AI, leading to cognitive science as well). Her polymath skills lead to an ideal blend of business insights and technical innovations. I enjoy the diversity she brings to Big data, business intelligence (BI), AI and data science; providing a full spectrum view of data and business procedures.

Another notable expert is Charu Aggarwal. He is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center, Charu Aggarwal's work in data mining, data streams, privacy-preserving data mining, and outlier detection is highly regarded. He has published extensively and is considered a leading authority in these areas.

1. Jiawei Han: Known for his work in data mining, Han is a professor at the University of Illinois at Urbana-Champaign. 2. Pedro Domingos: A professor at the University of Washington, Domingos is a renowned researcher in machine learning and data mining. 3. Christos Faloutsos: A professor at Carnegie Mellon University, Faloutsos has made significant contributions to data mining and network analysis. 4. Usama Fayyad: Fayyad is a data mining expert and the co-founder of the data mining and analytics company Open Insights. 5. Gregory Piatetsky-Shapiro: A pioneer in the field of data mining, Piatetsky-Shapiro is the founder of KDnuggets, a popular data mining and analytics resource.