2017 Sep Webcasts & Webinars
All (108) | Courses, Education (9) | Meetings (14) | News, Features (23) | Opinions, Interviews (22) | Tutorials, Overviews (33) | Webcasts & Webinars (7)
- Becoming an AI-Driven Enterprise
- Sep 29, 2017.
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.
- Learn How to Make Machine Learning Work (webinars every Tue in October, Live or on-demand)
- Sep 28, 2017.
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.
- Moving from BI to Automated Machine Learning
- Sep 26, 2017.
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.
- The Easy Button for R & Python on Spark, Webinar Oct 18
- Sep 22, 2017.
Learn five solid reasons to use managed services for Cloudera for R, Python and other advanced analytics on Spark & Hadoop in the cloud.
- Unveiling Anaconda Enterprise 5, Sep 19 Webinar
- Sep 15, 2017.
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.
- Accelerating Your Algorithms in Production with Python and Intel MKL, Sep 21
- Sep 8, 2017.
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.
- Tackling Unstructured Data With Text Exploration – On-demand webcast
- Sep 7, 2017.
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.