Tag: part
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Federated Learning, Part 2: Implementation with the Flower Framework 🌼
Federated Learning, Part 2: Implementation with the Flower Framework 🌼 Implementing cross-silo federated learning step by step The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science. Parul Pandey Go to original source
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Feature Detection, Part 3: Harris Corner Detection
Feature Detection, Part 3: Harris Corner Detection Finding the most informative points in images The post Feature Detection, Part 3: Harris Corner Detection appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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Javascript Fatigue: HTMX Is All You Need to Build ChatGPT — Part 2
Javascript Fatigue: HTMX Is All You Need to Build ChatGPT — Part 2 In part 1, we showed how we could leverage HTMX to add interactivity to our HTML elements. In other words, Javascript without Javascript. To illustrate that, we began building a simple chat that would return a simulated LLM response. In this article,…
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Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator
Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator Applying calculus fundamentals to computer vision for edge detection The post Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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My Learning to Be Hired Again After a Year… Part 2
My Learning to Be Hired Again After a Year… Part 2 This is the second part of “My learning to being hired again after a year… Part I”. Hard to believe, but it’s been a full year since I published the first part on TDS. And in that time, something beautiful happened. Every so often,…
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AI Agents from Zero to Hero — Part 3
AI Agents from Zero to Hero — Part 3 Intro In Part 1 of this tutorial series, we introduced AI Agents, autonomous programs that perform tasks, make decisions, and communicate with others. In Part 2 of this tutorial series, we understood how to make the Agent try and retry until the task is completed through…
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Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data Strategies
Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data Strategies Nowadays, a large amount of data is collected on the internet, which is why companies are faced with the challenge of being able to store, process, and analyze these volumes efficiently. Hadoop is an open-source framework from the Apache Software Foundation and has become…
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Learnings from a Machine Learning Engineer — Part 5: The Training
Learnings from a Machine Learning Engineer — Part 5: The Training In this fifth part of my series, I will outline the steps for creating a Docker container for training your image classification model, evaluating performance, and preparing for deployment. AI/ML engineers would prefer to focus on model training and data engineering, but the reality…
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Learnings from a Machine Learning Engineer — Part 1: The Data
Learnings from a Machine Learning Engineer — Part 1: The Data It is said that in order for a machine learning model to be successful, you need to have good data. While this is true (and pretty much obvious), it is extremely difficult to define, build, and sustain good data. Let me share with you…
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Learnings from a Machine Learning Engineer — Part 4: The Model
Learnings from a Machine Learning Engineer — Part 4: The Model In this latest part of my series, I will share what I have learned on selecting a model for Image Classification and how to fine tune that model. I will also show how you can leverage the model to accelerate your labelling process, and…