TinyML is an emerging AI technology that promises a big future—its versatility, cost-effectiveness and tiny form-factor make it a compelling choice for a range of applications.
Soft skills are in demand, and improving your soft skills can boost your career prospects and personal wellbeing—best of all, you can learn soft skills online for free through flexible, engaging and self-paced courses.
Checkout-free retail technology is an exciting application of AI that’s changing the way we shop.
AI is helping to revolutionize the product delivery supply chain through innovative middle mile solutions.
How LDA is different—and similar—to clustering algorithms.
What kind of classification model is naive Bayes?
What kind of learning is naive Bayes classification—and why?
The assumption of independence underlying naive Bayes classification may be unrealistic, but it doesn’t always hinder performance.
Exploring causal relationships by asking ‘what if?’.
An introduction to the fundamental principles of explainable AI
A concise, easy-to-follow description of how LDA topic modeling works
A clear explanation on whether topic modeling is a form of supervised or unsupervised learning
An introduction to explainable AI—what it is, why it’s important, and how it works.
Using NLP and BERT, a state-of-the-art natural language model, to analyze fedspeak, the vauge language used in FOMC meetings.
Topic models are widely used for analyzing unstructured text data, but how do you evaluate them? Here’s what you need to know about evaluating topic models.
A step-by-step introduction to topic modeling using a popular approach called Latent Dirichlet Allocation (LDA)
Bayes theorem is used in science, engineering and artificial intelligence but doesn’t need to be complicated – here’s a simple explanation of how it works.
Topic modeling can help to analyze trends in FOMC meeting transcripts—this article shows you how.
Streamline document analysis with this hands-on introduction to topic modeling using LDA
SEC 10K filings have inconsistencies which make them challenging to search and extract text from, but regular expressions can help