- KDnuggets™ News 20:n37, Sep 30: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy - Sep 30, 2020.
Learn how to work with time series in Python; Tips for improving Machine Learning model accuracy from 80% to over 90%; Geographical Plots with Python; Best methods for making Python programs blazingly fast; Read a complete guide to PyTorch; KDD Best Paper Awards and more.
Accuracy, Geospatial, KDD, Performance, Python, PyTorch, Time Series
- KDD-2020 (virtual), the leading conference on Data Science and Knowledge Discovery, Aug 23-27 – register now - Aug 18, 2020.
Using an interactive VR platform, KDD-2020 brings you the latest research in AI, Data Science, Deep Learning, and Machine Learning with tutorials to improve your skills, keynotes from top experts, workshops on state-of-the-art topics and over 200 research presentations.
ACM SIGKDD, COVID-19, Data Science, Deep Learning, KDD, KDD-2020, Machine Learning, Meetings, Research
- AutoML for Temporal Relational Data: A New Frontier - Oct 30, 2019.
While AutoML started out as an automation approach to develop optimal machine learning pipelines, extensions of AutoML to Data Science embedded products can now enable the processing of much more, including temporal relational data.
AutoML, KDD, Temporal Data, Time Series
- How to Network and Build a Personal Brand in Data Science - May 2, 2016.
SpringBoard shares some ideas on how to network and build a data career, as taken from a new guide they have put together on the topic.
Career, KDD, Mentorship, Strata
- Top Research Leaders in Data Mining, Data Science, and KDD - Aug 16, 2014.
We identify the top researchers in Data Mining, Data Science, and KDD. Jiawei Han, Philip Yu, and Christos Faloutsos remain the leaders, but they are joined by many fast rising young researchers - the leaders of tomorrow.
Christos Faloutsos, Data Mining, Hans-Peter Kriegel, Jian Pei, Jiawei Han, KDD, Philip S. Yu, Researchers, Top list
