Machine Learning, Deep Learning, Computer Vision, and AI for Software Engineers
Visual Studio Code is an excellent IDE for working with all kinds of different languages and projects. Additionally, I am quite surprised by how many open source developers (i.e. Microsoft “detractors”) out there have taken...
If you’re reading this blog then I am sure you have heard of Kaggle. There is a competition under way for classifying satellite data as icebergs or ships. Additionally, there is a great “starter”...
Personally, Vi and Vim are painful to work with and I always forget how to exit out of the editor when I am done working. So, for my reference and yours, here is the...
We all need to work with lists, arrays, and tuples when programming and it seems like every time I work with Python I am impressed by someone else’s concise, elegant code for working with...
With all of the Python code I have been writing lately and using Anaconda to manage the installation of packages, I have been watching the free disk space on my machine disappear at an...
While moving forward in learning computer vision, machine learning, deep learning, and so may other facets that comprise “AI”, I have enrolled in Udacity’s Self-Driving Car Engineer Nanodegree. I want to see and learn...
Anaconda takes a lot of the pain out of getting the necessary Python packages installed for data science. Additionally, Anaconda can make it extremely easy to install TensorFlow. When installing Python packages for development, using environments...
In deep learning and neural networks, the final layer that data is passed through is called the “output layer”. Within this layer is an “activation function” that will determine the final output; for example,...
Problem Many machine learning algorithms simply can’t be applied to columns that contain non-numeric values (such as categories that are indicated as strings like “Chicago”, “Boston”, or “New York”). For example. something like this:...
I am in the first week of the course of the Deep Learning Nanodegree and the main topics are around developing an intuition around feedforward neural networks, backpropagation (feeding errors back into the network...
