Common Data Science Challenges
In a previous newsletter I point out some of the key differences that separate data science from traditional project management.…
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Data Science Team Pitfalls
In a previous newsletters I recommend creating a small team of three to five individuals consisting of at least one…
Breaking Down Data Silos
One of the biggest challenges your data science team is likely to encounter is gaining access to all of the…
Getting Better Insights from your Data Science Team
Large organizations have numerous departments or teams that perform different functions, including Research and Development (R&D), Production, Purchasing,…
Democratize Data in your Organization
Democratizing data involves making it available to personnel throughout an organization and providing them with the tools and training needed…
The History of Neural Networks
At a basic level the perceptron is a single-layer neural network. The perceptron is worth looking at because it sheds…
Sigmoid Neurons in Neural Networks
The Perceptron is an artificial neuron that produces a linear/binary output. The perceptron can distinguish between only two classes.…
Using an AI Expert System Instead of Machine Learning
Prior to starting an AI project, the first choice you need to make is whether to use an expert system…
Understanding Hidden Layers in a Neural Network
A neural network consists of three layers of neurons. An input layer, one or more hidden layers, and an output…
Big Data and Artificial Intelligence
Fueling the rise of machine learning and deep learning is the availability of massive amounts of data, often referred to…
Strategies to Overcome Artificial Intelligence Hurdles
Data science, artificial intelligence (AI), and machine learning (ML) are very complex fields. Amidst this complexity, it is easy to…
How to Avoid the Most Common Data Science Pitfalls
Many people have the misconception that science is equivalent to truth. In fact, people often cite science as the authority…
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