My StreamLit Sprint: Precise GPT-4 Prompting For Dashboard Visuals
Author(s): John Loewen, PhD Originally published on Towards AI. Medal-worthy Olympic data visuals with modular promptingDall-E image: thick dripping oil painting of the (inaccurate) dashboard displayed on a computer screen With GPT-4, even a complete Streamlit beginner can use the Python StreamLit …
Recapping the Cloud Amplifier and Snowflake Demo
Author(s): Cassidy Hilton Originally published on Towards AI. Recapping the Cloud Amplifier and Snowflake Demo The combined power of Snowflake and Domo’s Cloud Amplifier is the best-kept secret in data management right now — and we’re reaching new heights every day. If …
How to Monitor a Computer Vision Model in Production?
Author(s): Maciej Balawejder Originally published on Towards AI. One of the unfortunate properties of computer vision models is that performance deteriorates with time, leading to less reliable results. Since these models are trained on static images when deployed in production environments with …
Customizing sk-learn Models and Pipelines
Author(s): Reinhard Sellmair Originally published on Towards AI. Photo by EJ Strat on Unsplash Sk-learn offers a wide variety of models that can be easily plugged in and tested due to their modular design. Furthermore, modularity also allows the combination of models …
Chat Analyzer — From Raw Chats To Data Insights
Author(s): Alon Cohen Originally published on Towards AI. The Chat Analyzer Table of Content · Why Did I Write This Article?· How does it work?· Data Normalization· Section A: Basic Statistic· Section B: User-Level Analysis ∘ Most Frequent Emoji (Top Freq N) …
The Unsung Hero of Machine Learning — Linear Algebra
Author(s): Saif Ali Kheraj Originally published on Towards AI. Image by https://www.istockphoto.com/photos/linear-algebra Machine learning, data mining, deep learning, and advanced optimization algorithms all rely heavily on linear algebra. In this post, we will go over some of the most fundamental concepts, including …
Docker Essentials: Streamlining Multi-Service Application Orchestra
Author(s): Afaque Umer Originally published on Towards AI. Unlocking the Power of Compose for Seamless Machine Learning WorkflowsPhoto by Larisa Birta on Unsplash In the ever-evolving landscape of machine learning experimentation and application development, navigating the coordination of diverse system components poses …
Multi-Label Image Classification using AutoKeras.
Author(s): Rakesh M K Originally published on Towards AI. Image created with Microsoft Bing Image Maker AutoKeras AutoKeras is Python’s Keras-based AutoML library for developing Deep Learning models. Built on top of TensorFlow by DATA Lab at Texas A&M University, it offers …
From Good to Great: Elevating Model Performance through Hyperparameter Tuning
Author(s): Shivamshinde Originally published on Towards AI. This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model …
Midjourney v6 — Now with Vary(Region) in-painting
Author(s): PromptDervish Originally published on Towards AI. Welcome to an exciting update in Midjourney v6 — the Vary(Region) in-painting feature! As a generative art enthusiast, I’m thrilled to take you through this innovative addition. Vary(Region) introduces a new dimension of creativity, enabling …
Preparing time-series to build a Pollution Forecasting Model with Python
Author(s): Fabiana Clemente Originally published on Towards AI. A step-by-step guide This article was co-authored by Ian Spektor, Lead Machine Learning Engineer @ Tryolabs, who is passionate about data-science and time-series data. The adoption of AI and the application of Machine Learning …
Roadmap To Become A GenAI Expert In 2024
Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. In the future, every company will need to leverage generative AI in order to stay competitive and drive innovation.” — Kai-Fu Lee, Former President of Google China. As we all have entered a …
How To Make a Synthesized Dataset To Fine-Tune Your Ocr
Author(s): Eivind Kjosbakken Originally published on Towards AI. Fine-tuning your OCR engine to your specific use case is required if you want to achieve state-of-the-art performance for your situation. Fine-tuning an OCR engine requires a large dataset, however, which is expensive to …
Hands-On LangChain for LLM Applications Development: Information Retrieval
Author(s): Youssef Hosni Originally published on Towards AI. Effective retrieval becomes crucial during query time when you need to fetch the most relevant information based on a given query. In our previous lesson, we delved into the fundamentals of semantic search, noting …
Comprehensive Guide to 13 Cutting-Edge Machine Learning Summer Schools in 2024
Author(s): Youssef Hosni Originally published on Towards AI. Dive into the pulse of innovation and knowledge within the dynamic realm of machine learning. This blog unfolds a comprehensive guide to the most anticipated Machine Learning Summer Schools of 2024. Offering a gateway …
Popular posts
Updates
Recent Posts
