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Entrepreneurial AI Ecosystem

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AI

Artificial Intelligence

Machines mimicking human intelligence

ML

Machine Learning

AI subset learns from data

DL

Deep Learning

ML subset uses deep neural networks

NN

Neural Network

Systems inspired by the brain's structure.

RL

Reinforcement Learning

Learning by rewards/punishments

NLP

Natural Language Processing

Machines understanding language.

GAN

Generative Adversarial Network

Dual networks for generation & discrimination.

SVM

Support Vector Machines

Classification using a hyperplane

ANN

Artificial Neural Network

Basic computing unit of NN.

CNN

Convolutional Neural Network

NN variant for image data.

RNN

Recurrent Neural Network

NN with loops for sequences.

LSTM

Long Short-Term Memory

RNN type handling long sequences.

Quantization, Linear Regression, and Hardware for AI: Our Best Recent Deep Dives

There are times when brevity is a blessing; sometimes you just need to figure something out quickly to move ahead with your day. More often than not, though, if you’d like to truly learn about a new topic, there is no substitute for spending some time with it. This is where...
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How do we know if AI is smoke and mirrors?

How Do We Know if AI Is Smoke and Mirrors? Musings on whether the “AI Revolution” is more like the printing press or crypto. (Spoiler: it’s neither.) Photo by Daniele Levis Pelusi on Unsplash I am not nearly the first person to sit down and really think about what the advent of...
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Feature Engineering with Microsoft Fabric and Dataflow Gen2

Fabric Madness part 3 Image by author and ChatGPT. “Design an illustration, featuring a Paralympic basketball player in action, this time the theme is on data pipelines” prompt. ChatGPT, 4, OpenAI, 15April. 2024. https://chat.openai.com. In the previous post, we discussed how to use Notebooks with PySpark for feature engineering. While spark...
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Can AI “Fix” Climate Change? Perspective of a Data Nerd

Climate change is a frustrating topic. Politicians are not committed to doing anything meaningful about it. Continue reading on Towards Data Science »
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Exploring causality in Python. Difference-in-differences

Exploring causality with Python. Difference-in-differences Photo by Scott Graham on Unsplash Establishing causality is one of modern analytics's most essential and often neglected areas. I would like to describe and highlight the tools most used in our causal inference workshop in an upcoming series of articles. Causal inference 101 Let’s start...
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