Machine Learning Use Cases by Industry20181018105015

Machine Learning Use Cases by Industry

Dana CraneOctober 18, 2018, , , 0 comments
What is Machine Learning (ML)? Pragmatically most can agree that it’s about getting computers to learn over time in an autonomous fashion by feeding...
How to do Machine Learning without Learning Data Science20181009154501

How to do Machine Learning without Learning Data Science

Dana CraneOctober 9, 2018, , , 0 comments
For all that TensorFlow is the current darling of the Machine Learning (ML) crowd, it’s just a graphing library that represents a series of commands...
Machine Learning for DevOps20180913184656

Machine Learning for DevOps

Dana CraneSeptember 13, 2018, , , 0 comments
Automation is a key design principle for DevOps teams. To speed up throughput in the software development life cycle (SDLC) DevOps automates everythin...
Machine Learning in Healthcare – From Theory to Practice20180510154510

Machine Learning in Healthcare – From Theory to Practice

Machine Learning (ML) research in the healthcare field has been ongoing for decades, but almost exclusively in the lab rather than in the doctor’s o...
Machine Learning – The New Cornerstone of Digital Transformation20180502172132

Machine Learning – The New Cornerstone of Digital Transformation

Artificial Intelligence (AI), and more pragmatically, Machine Learning (ML) have been called the new electricity that’s powering the Fourth Indu...
Data is the foundation of your ML strategy20180412020008

Data is the foundation of your ML strategy

Pete GarcinApril 12, 2018, , 0 comments
When getting started with machine learning (ML) you need data — and lots of it. Data really forms the foundation of your machine learning strate...
Python: Bridge between Data Science & Engineering, to reach Machine Learning20180320044343

Python: Bridge between Data Science & Engineering, to reach Machine Learning

*Note: this post was originally posted on LinkedIn.  We’re starting our own March madness, and it’s all about machine learning (ML). Want to ...
Options for Deploying Machine Learning Algorithms to AWS20180117190038

Options for Deploying Machine Learning Algorithms to AWS

Christopher ShoeJanuary 17, 2018, , , , , , 0 comments
AWS is a great place for accessing scalable, cheap resources on which to deploy data models. However, actually using AWS for this purpose can be chall...
Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask20180110210017

Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask

Pete GarcinJanuary 10, 2018, , , 0 comments
In my last post I surveyed the growing array of options for deploying your ML models into production. In this post, we’ll create a demo to see how s...
How to Deploy Machine Learning Models to a .NET Environment20180103150000

How to Deploy Machine Learning Models to a .NET Environment

Christopher ShoeJanuary 3, 2018, , , , , 0 comments
Python and R are among the most popular programming languages for data-centric engineers. However, they are not always the languages that the rest of ...
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