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Webcasts & Webinars on Analytics, Big Data, Data Mining, Data Science


 
  
WhenEvent
Jun 5
10 am PT
1 pm ET
How To Build Intelligent Dashboards Powered by Machine Learning, by DataRobot and Jen Underwood.
Jun 5
10 am PT
1 pm ET
Omni-Channel Customer Effort Analysis, by Clarabridge.
Jun 6
8 am PT
11 am ET
Balancing Risk: Defining Value in Product Development Innovation for Customer and Carrier, by Insurance Nexus.
Jun 6
8 am PT
11 am ET
Human Resources and Artificial Intelligence: A gentle Introduction, by MeaningCloud.
Jun 7
11 am PT
2 pm ET
Top 5 Priorities for an Analytics Leader, by First San Francisco Partners and Looker Data.
Jun 7
1 pm PT
4 pm ET
9 pm GMT
Quantifying Uncertainty: Bayesian Data Analysis in Python, by ODSC and Mat Leonard, Product Lead Udacity.
Jun 8
11:30 am PT
2:30 pm ET
Taming of the Chatbots - An Insider's Story, by DJ Das, Founder and CEO of ThirdEye Data.
Jun 11
9 am PT
noon ET
Fundamentals of Measurement and Data Analysis for Software Engineers - Part 1 - Basic Concepts of Measurement Theory, By ACM SIGSOFT and Dennis J. Frailey, ACM Fellow.
Jun 13
1 pm PT
4 pm ET
Data Lakes and Data Warehouses: Can They Coexist?, by Eric Kavanagh, The Bloor Group / Wayne Eckerson, Eckerson Group / Dave Wells / Eckerson Group / Bruno Aziza, AtScale .
Jun 13
10 am London/ 11 am Paris
or 11 am PT /2 pm ET
or 12 pm Singapore / 2 pm Sydney
Love Analytics, Crazy About Football? World Cup 2018 Data Science Predictor, by TIBCO.
Jun 13
6:30 pm PT
9:30 pm ET
Machine Learning with Kubeflow and Random Walk with Spark, by Google and LinkedIn engineers and Xnextcon. This session includes 3 live talks:
  • Talk 1: Enables machine learning workflows with Kubeflow, by Jeremy Lewi (Google)
  • Talk 2: Random Walks on Large Scale Graphs with Apache Spark, Min Shen (LinkedIn)
  • Talk 3: Genomics on Google Cloud Machine Learning Engine , Bradley Jiang (Google)
Jun 14
10 am PT
1 pm ET
Past, Present & Future: What Lies Ahead for AI, by ODSC and Todd Sunsted, CTO at SumAll.
Jun 14
10 am PT
1 pm ET
How to Design Your Analytic Development Life Cycle, by Open Data Group.
Jun 20
10 am PT
1 pm ET
Multi-task learning: stepping away from narrow expert models, by Cloudera.
Jun 21
8 am PT
11 am ET
Sizing Big Data for Predictive Analytics: The Case Against N=All, by The Modeling Agency.
Jun 21
noon PT
3 pm ET
Anaconda Scalable Machine Learning with Dask, by Anaconda.
Jun 25
6:30 am PT
9:30 am ET
Enterprise Artificial Intelligence, by Rajkumar Vaidyanathan, Noodle.ai and BrightTalk.
Jun 26
2:30 pm PT
5:30 pm ET
Data Science in 30 Minutes: Why Big Data Needs Thick Data with Tricia Wang, by The Data Incubator and Tricia Wang, co-founder of Sudden Compass.
Jun 28
10 am PT
1 pm ET
Managing BigQuery Performance & Costs, by Pavel Tiunov, CTO Statsbot.
Jun 28
10 am PT
1 pm ET
The 3 Types of Data Prep & When to Use Them, by ClearStory.
Jun 28
11 am PT
2 pm ET
3 Key Capabilities for Real-Time Data and Analysis Today, By Aerospike, HVR and Looker.
July 13
1 pm PT
4 pm ET
What are the Building Blocks of a Modern Data Pipeline?, Eric Kavanagh, The Bloor Group and Dave Wells, Infocentric.
July 24-25
10 am - 5 pm ET
Demystifying Data Science Conference, a FREE Live Online Conference for Aspiring Data Scientists & Data-Curious Business Leaders.

 
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