Why the Big Future of Machine Learning Is Tiny
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.
How Can I Learn Soft Skills Online for Free?
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.
Real World AI: Checkout-Free Retail (Amazon Go and Zippin)
Checkout-free retail technology is an exciting application of AI that’s changing the way we shop.
Real World AI: Middle Mile Autonomous Delivery (Gatik)
AI is helping to revolutionize the product delivery supply chain through innovative middle mile solutions.
Is Latent Dirichlet Allocation (LDA) A Clustering Algorithm?
How LDA is different—and similar—to clustering algorithms.
Is Naive Bayes Generative Or Discriminative?
What kind of classification model is naive Bayes?
Is Naive Bayes Classification Supervised Or Unsupervised?
What kind of learning is naive Bayes classification—and why?
Why Do Naive Bayes Classifiers Perform So Well?
The assumption of independence underlying naive Bayes classification may be unrealistic, but it doesn’t always hinder performance.
What Is Counterfactual Analysis?
Exploring causal relationships by asking ‘what if?’.
What Are Explainable AI Principles?
An introduction to the fundamental principles of explainable AI
What Is LDA Topic Modeling?
A concise, easy-to-follow description of how LDA topic modeling works
Is Topic Modeling Unsupervised?
A clear explanation on whether topic modeling is a form of supervised or unsupervised learning
Explainable AI: What It Is and Why It Matters
An introduction to explainable AI—what it is, why it’s important, and how it works.
Can BERT Understand Fedspeak?
Using NLP and BERT, a state-of-the-art natural language model, to analyze fedspeak, the vauge language used in FOMC meetings.
Topic Model Evaluation
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.
Topic Modeling with LDA Explained: Applications and How It Works
A step-by-step introduction to topic modeling using a popular approach called Latent Dirichlet Allocation (LDA)
Bayes Theorem: As Easy as Checking the Weather
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.
Modeling Topic Trends in FOMC Meetings
Topic modeling can help to analyze trends in FOMC meeting transcripts—this article shows you how.
Topic Modeling of Earnings Calls using Latent Dirichlet Allocation (LDA): Efficient Topic Extraction
Streamline document analysis with this hands-on introduction to topic modeling using LDA
Using Regular Expressions to Search SEC 10K Filings
SEC 10K filings have inconsistencies which make them challenging to search and extract text from, but regular expressions can help
