Becoming an AI-Driven Enterprise
In this upcoming webinar, review the practical first steps an organization can take towards becoming an AI-driven enterprise, and learn how you cut through the hype of AI, apply it organization-wide, and quickly realize ROI.
on Sep 29, 2017 in AI, DataRobot, Enterprise
Learn How to Make Machine Learning Work (webinars every Tue in October, Live or on-demand)
To fully use machine learning, we first need to understand both the potential benefits and the techniques to create data-driven models. In this webinar series, we will show you how to easily and automatically apply complex algorithms to data in real world applications.
on Sep 28, 2017 in CART, Machine Learning, Minitab, random forests algorithm, Regression, Salford Systems
Moving from BI to Automated Machine Learning
Vast amounts of data are already overwhelming existing BI tools and analytics processes. To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions.
on Sep 26, 2017 in Automated Machine Learning, Business Intelligence, DataRobot, Jen Underwood, Machine Learning
The Easy Button for R & Python on Spark, Webinar Oct 18
Learn five solid reasons to use managed services for Cloudera for R, Python and other advanced analytics on Spark & Hadoop in the cloud.
on Sep 22, 2017 in Apache Spark, Cazena, Cloud Analytics, Cloudera, Python, R
Unveiling Anaconda Enterprise 5, Sep 19 Webinar
Want to see the new Anaconda Enterprise 5 features in action? Register now for our new webinar, Unveiling Anaconda Enterprise 5—The Enterprise-Ready Data Science Platform.
on Sep 15, 2017 in Anaconda, Continuum Analytics, Data Science, Data Science Platform, Enterprise
Accelerating Your Algorithms in Production with Python and Intel MKL, Sep 21
We will provide tips for data scientists to speed up Python algorithms, including a discussion on algorithm choice, and how effective package tool can make large differences in performance.
on Sep 8, 2017 in ActiveState, Intel, Production, Python
Tackling Unstructured Data With Text Exploration – On-demand webcast
Discover how to use a platform to organize unstructured data to see the linkages between word usage and document of origin, see the themes in a word cloud, and use topic extraction and document clustering.
on Sep 7, 2017 in Clustering, JMP, Text Mining, Unstructured data
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