Roger Moore

CEO at experienced executive utilizing #BigData, #Analytics & #Visualization to solve strategic problems @ChicagoBooth @UWMadison; Views=own.

[Roger Moore @RogerMoore]

Digital Transformation has made connecting and integrating data a priority. Enterprise Integration unites business applications, data, processes, and devices across the enterprise ecosystem allowing you to become more responsive and agile.
https://t.co/QXDTJ13Cpx

[Roger Moore @RogerMoore]

@ADP I just received email that my password was changed, but there is no reference to employer in that email. I have several past employers…how do I find out which one?

[Roger Moore @RogerMoore]

Just got an email from @jewelosco re: delivery changing to 3rd party...how are refrigerated and frozen items going to be dealt with? I have had a few 3rd party deliveries and all they do is throw the bags in their back seat or trunk...nothing special for refrigerated or frozen

[Roger Moore @RogerMoore]

Do others have substitution problems with @jewelosco. I select "No substitutions" on each item and then in the text field put "No Substitutes!!!" and still get items I don't want. They're good about refunding, but it's a pain to deal with.

[Machine Learning FLX @machinelearnflx]

Most Useful C/C++ ML Libraries Every Data Scientist Should Know https://t.co/VCvKAGxhwE #DataScientist

[TDWI @TDWI]

Learn how to select the best #datavisualization to tell your story. #TDWIUpside | https://t.co/EPS1oO3aw5

[Vincent Granville @granvilleDSC]

Top 10 Data Science Use Cases in Retail https://t.co/1YlLBOjyFc

[Machine Learning FLX @machinelearnflx]

Executive Data Science https://t.co/Dxwjci9LAO #machinelearning #ad

[TDWI @TDWI]

Plan your #datascience use cases in the cloud with the advice in a new #TDWIChecklist Report. | https://t.co/O9fA8azo57

[Vincent Granville @granvilleDSC]

Upskilling: What Is A Learning Sprint? https://t.co/72fzpwK3AK

[Machine Learning FLX @machinelearnflx]

Should high schools teach data science instead of calculus? https://t.co/5Nr1h2hb6x #DataScience

[mark allen @MarkAllen_Tech]

How to Identify Overfitting Machine Learning Models in Scikit-Learn #ML #machinelearning https://t.co/7iX0W7xv5L

[mark allen @MarkAllen_Tech]

Why 90 percent of all machine learning models never make it into production #ML #machinelearning https://t.co/OHsECYXSDh

[Vincent Granville @granvilleDSC]

Astonishing Hierarchy of Machine Learning Needs https://t.co/DJvqOgm4B6

[Machine Learning FLX @machinelearnflx]

A Business Leader’s Guide to Chatbots https://t.co/ilyvcgxACy #Chatbot

[mark allen @MarkAllen_Tech]

Kafka at the Edge — Use Cases and Architectures #kafkastreams https://t.co/cxssIK7UDU

[Machine Learning FLX @machinelearnflx]

Dynamic Neural Network Programming with PyTorch https://t.co/Uzfs5QnIJe #machinelearning #ad

[Machine Learning FLX @machinelearnflx]

Data Analysis and Interpretation Capstone https://t.co/90vZjcOZuJ #machinelearning #ad

[Vincent Granville @granvilleDSC]

Top 9 Data Science Use Cases in Analytics https://t.co/FVYKMVcQRz

[Machine Learning FLX @machinelearnflx]

Statistics for Data science https://t.co/bthi3qj5KS #machinelearning #ad