Collecting good training data is hard – can’t I just fake it?
No, you can’t fake it, and this post explains why. Then I give examples on how to collect data more easily.
Tag: machine_learning
Use this one simple trick to understand machine learning
Machine Learning is a lot like gravity in outer space. That’s the trick! Let me explain further how this analogy works. We know that Machine Learning systems learn by example. We know they must be…
Chatbots and compound intents
Chatbot developers want their bots to be able to handle as many types of user inputs as possible. One core technique in chatbots is to classify user utterances into intents. An intent signifies want…
Cognitive classification and what it can do for you
Introduction Cognitive technology allows you to process a lot of information quickly – this is one of the key benefits of the technology. Instead of humans spending hours sorting through information looking for relevant or…
Introduction to chat bots with Watson Conversation Service
Introduction Chat bots are a powerful way to put a natural language interface in front of your applications and services, to help users easily and naturally get what they need. In this post I will…
How to organize documents when digitizing them
Introduction In my previous post I talked about why good document organization matters for cognitive systems and I outlined a few of the challenges of organizing scanned documents. In this post, I will cover some potential solutions…
What does your cognitive system know about your documents, and why does it matter?
I work with clients who want to use cognitive computing to extract insights locked away in their data. This data generally comes from a large volume and wide variety of source documents – thousands or…
Book Review: The Bad Data Handbook
I recently finished reading The Bad Data Handbook: Cleaning Up The Data So You Can Get Back to Work by O’Reilly Publishing. This book is a collection of 18 essays about the art and science of…
Balancing precision and recall in your cognitive system
In building a cognitive model it can be difficult to know when it’s accurate enough. (You are measuring your daily performance, right?) We know that cognitive performance often involves making a tradeoff between the competing…
Machine learning is just the tip of the iceberg – 5 dangers lurking below the surface
Machine Learning. Such a cool name, and such a powerful technology. But there’s a lot of work required on your part if you want to successfully apply it to your problems. Beware of these 5…