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How Would You Explain Machine Learning To 9 Years Old?
Author(s): Gencay I. Originally published on Towards AI. Explaining Machine Learning and Data Science for Young Minds This member-only story is on us. Upgrade to access all of Medium. Albert Einstein explaining universe to the kid— Generated with leonardo.ai — Simple Machine …
DIM: Learning Deep Representations by Mutual Information Estimation and Maximization
Author(s): Sherwin Chen Originally published on Towards AI. Encoder Network Source: Pixabay This is our second article of the series about mutual information. In the previous articles, we have seen how to maximizes the mutual information between two variables via the MINE …
ELI5: Expectation Maximization Clustering
Author(s): Anmol Tomar Originally published on Towards AI. The Clustering technique every Data Scientist Should Know Image Credit: Unsplash Imagine you know 100 people and you score them(1–10) based on their personality traits such as funny, interactive, smart, hard-working, etc. Now, you …
How To Build Your Own K-Means Algorithm Implementation in Python From Scratch With K-Means++ Initialization
Author(s): Alex Belengeanu Originally published on Towards AI. What’s a better method to deepen your knowledge about algorithm principles than implementing it from 0 by yourself? Photo by Mel Poole on Unsplash What is K-Means? K-Means is an unsupervised machine learning technique …
Machine Translation, but Unsupervised
Author(s): Yunzhe Wang Originally published on Towards AI. Decoding the Intricacies of Unsupervised Neural Machine Translation: A Deep Dive into its Mechanisms and Potential “Unsupervised Machine Translation”, Image by Midjourney In the ever-evolving landscape of machine translation, Unsupervised Neural Machine Translation (UNMT) …
Clustering A-Z Briefly Explained ChatGPT Powered
Author(s): Gencay I. Originally published on Towards AI. A Concise Guide to Clustering Techniques in Data Science and Machine Learning with ChatGPT This member-only story is on us. Upgrade to access all of Medium. Clustering is a technique used in machine learning, …
K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Finding Clusters Clustering is one of the simplest algorithms to implement with any Machine Learning tools. There are two different sets of algorithms dedicated to Clustering, depending on if we use Numerical Data (K-Means …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Get the Optimal K in K-Means Clustering
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Provide the quick starting guide to find the optimal number of clusters in K-means clustering Top highlight Photo by Fotis Fotopoulos on Unsplash Clustering (or Cluster Analysis) helps to identify and group the data …
Two Ways to Learn Audio Embeddings
Author(s): Edward Ma Originally published on Towards AI. Speech2Vec with Skip-gram and CBOW Photo by Álvaro Bernal on Unsplash Mel-frequency cepstral coefficients (MFCC), zero-crossing rate are some of classical feature for audio. It can be extracted via the library easily. However, it …
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