Chromaticity Segmentation 🎨
Author(s): Erika Lacson Originally published on Towards AI. Introduction to Image Processing with Python Episode 6: Image Segmentation — Part 2 (Left) Photo by cottonbro studio in pexels. U+007C (Right) Image processed by the Author. Hello again, my fellow image-processing enthusiasts! U+1F590️ …
5 Things I Learned From Berlin Buzzwords 2023
Author(s): ___ Originally published on Towards AI. Exploring the World of Search — Insights from E-commerce Infrastructure to Effective Technical Communication Berlin Buzzwords is a conference held in Germany that centers around the intricate dynamics of storing, processing, streaming, and exploring vast …
5 Questions I Wish I Had the Answer to Before Interviewing for Data Science Positions
Author(s): Clément Delteil Originally published on Towards AI. Why interviewing for Data Science positions is like riding a roller-coaster. Photo by James Butterly on Unsplash You spent hours polishing your cover letter to match the job post. You made your friends proofread …
Beyond Science Fiction: Trascendence’s Legacy in the Age of ChatGPT
Author(s): Andrea Valenzuela Originally published on Towards AI. Comparing fictional and actual AI landscapes Image by Geoffrey Moffett in Unsplash. Picture this: a much-needed movie night with colleagues, an escape from the relentless grind of personal projects and deadlines. U+2705 SnacksU+2705 Big …
Tackling Imbalanced Data Using imbalanced-learn, Part 1: Under-Sampling
Author(s): Christian Kruschel Originally published on Towards AI. In the field of machine learning, working with imbalanced datasets can present a significant challenge. Imbalanced data occurs when the distribution of classes in the dataset is uneven, with one class being dominant compared …
Prophet: Evaluating Time Series Forecasting
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Prophet Time Series Forecasting on a Hold-Out Dataset Image by Author with @MidJourney Time series ͏analysis is a crucial technique for understanding and predicting data points that are ordered chronologically. ͏It finds applications …
Harness the Power of Vector Databases: Influencing Language Models with Personalized Information.
Author(s): Pere Martra Originally published on Towards AI. Supercharge your language models with Vector Databases! Personalize prompts using your own data to shape the behavior of these powerful models, giving context to them. Integrate personal information for a tailored language generation experience. …
Boost Your Job Search With NLP
Author(s): Gabriele Albini Originally published on Towards AI. Presenting a web app with semantic search functionalities based on pre-trained sBERT, and a Plotly Dash interface U+007C Live app U+007C Git Hub Introduction In the most common job platforms, search functionalities consist of …
Train and Deploy Custom Object Detection Models Without a Single Line Of Code.
Author(s): Peter van Lunteren Originally published on Towards AI. Images taken from the ENA24-detection dataset, licensed under the Community Data License Agreement (permissive, v1.0). Labels by author. Let AI process your imagery through an open-source graphical user interface. Table of contents Introduction …
Analyse Customer Reviews with Natural Language Processing.
Author(s): Flo Originally published on Towards AI. Using CountVectorizer, an implementation of bag-of-words Top highlight Image by Flo on OpenSea, UX Natural Language Processing In this article, we build our machine learning model to guess customer reviews tone based on historical data. …
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