public
The Different Types of Machine learning
In general, there are four popular ways that machines Learn. There is supervised learning, where the machine works with labeled…
Doug Rose
118 posts
•
public
public
Artificial Intelligence Planning Systems
AI Planning Systems is a branch of Artificial Intelligence whose purpose is to identify strategies and action sequences that will,…
public
Data Science Organization Change
Building a data science culture means different things to different data-driven organizations. It may mean introducing a new data science…
public
Data Storytelling Mistakes and How to Avoid Them
In data science storytelling you want to avoid the most common pitfalls like:
* Letting the data speak for itself.
* Letting…
public
Data Storytelling with Visual Metaphors and Analogies
A metaphor is a figure of speech used to describe an object or action in comparison to something that is…
public
How to Organize your Data Science Questions
The success of any data science initiative hinges on the team's ability to ask interesting questions that are…
public
Mix Agility and Data Science with Data Science "Sprints"
One way to think about how to deliver data science insights is by using a "Data Science Life Cycle…
public
Asking the Right Questions as a Data Scientist
Getting people to ask better data questions is not always as simple as creating the right environment. Even a highly…
public
Artificial Neural Network Model Classification and Regression
Unlike human beings who often learn for the intrinsic value of knowing something, machine-learning is almost always purpose-driven. Your job…
public
Weights and Bias in Artificial Neural Networks
An artificial neural network is a machine learning system made up of numerous interconnected neurons arranged in layers to simulate…
public
Data Clustering in Machine Learning
There are three types of problems that machine learning is generally used to solve:
* Classification
* Regression
* Clustering
Clustering has numerous…
public
The Neural Network Chain Rule
Backpropagation is a machine-learning technique used to calculate the gradient of the cost function at output and distribute it back…