Category: Machine Learning

Articles About Machine Learning

Machine Learning

Stable Diffusion Project: Commercial Poster

Stable Diffusion has taken the AI art world by storm, empowering users to generate stunning and imaginative visuals with just a few text prompts. This opens exciting possibilities for creatives, including crafting impactful commercial posters. In this post, we’ll delve into using Stable Diffusion to design a compelling poster for a product. After finishing this post, you will learn: How to prepare a photo of a product for use in Stable Diffusion How to create an appealing commercial poster without […]

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Machine Learning

The Ultimate Beginner’s Guide to Docker

Image created by Editor using Midjourney Today’s digital landscape has never been so diverse. Every individual and company selects their preferred tools and operating systems, creating a diverse technological system. However, this diversity often leads to compatibility issues, making it hard to ensure application performance across different environments. This is where Docker plays a key role as an indispensable tool for application development and deployment. Docker enables us to package any application within a container, building all its dependencies and […]

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Machine Learning

Stable Diffusion Project: Creating Illustration

Many people write in their jobs. Not everyone is a novel writer; some write technical documentation, business plans, news articles, and even blog posts. In those writings, illustrations are not essential but often good to have. They are decorations, interpretations, or visual explanations of the text. However, you probably do not want to spend too much time or do not have the drawing skills to create the illustration. Stable Diffusion is here to help! In this post, you will see […]

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Machine Learning

Tips for Choosing the Right Machine Learning Model for Your Data

Image by Author | Midjourney & Canva Introduction Choosing the right machine learning model for your data is of major importance in any data science project. The model you select will have a significant impact on the insights you derive from your data, and ultimately determine the usefulness of a project. In this article, we aim to provide practical tips to help new practitioners make informed decisions when choosing machine learning models. 1. Understand Your Data Understanding the type and […]

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Machine Learning

5 Effective Ways to Handle Imbalanced Data in Machine Learning

Image by Author Introduction Here’s a something that new machine learning practitioners figure out almost immediately: not all datasets are created equal. It may now seem obvious to you, but had you considered this before undertaking machine learning projects on a real world dataset? As an example of a single class vastly outnumbering the rest, take for instance some rare disease, which only 1% of the population has. Would a predictive model that only ever predicts “no disease” still be […]

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Machine Learning

5 Free YouTube Channels Dedicated to Machine Learning Education

Image by Author As a data professional, you should also know how to build predictive models with machine learning to solve business problems. And if you’re interested in machine learning, you’re probably also looking for the best resources to get going. Well, you can always choose a self-paced online course that best aligns with your learning preferences. But if you prefer learning from some of the best educators and experienced professionals—all for free—then YouTube is a great learning resource. This […]

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Machine Learning

Stable Diffusion Project: Word Art

Stable Diffusion is a powerful tool that helps you generate pictures. It is fun to play with the generative AI tool. But it would be useful if the tool could help you in a real job. In this post, you will see how you can leverage the power of Stable Diffusion to work on something realistic and practical. After finishing this post, you will learn: The reasoning process to decide how to use Stable Diffusion Augmenting other tools with Stable […]

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Machine Learning

5 Free Books on Machine Learning Algorithms You Must Read

Image by Author If you are a machine learning student, researcher, or practitioner, it is crucial for your career growth to have a deep understanding of how each algorithm works and the various techniques to enhance model performance. Nowadays, many individuals tend to focus solely on the code, data, and pre-trained models, often without fully comprehending the machine learning model’s algorithm or architecture. They simply fine-tune the model on a new dataset and adjust hyperparameters to improve performance. However, to […]

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Machine Learning

Fine-Tuning Stable Diffusion with LoRA

Stable Diffusion can generate an image based on your input. There are many models that are similar in architecture and pipeline, but their output can be quite different. There are many ways to adjust their behavior, such as when you give a prompt, the output will be in a certain style by default. LoRA is one technique that does not require you to recreate a large model. In this post, you will see how you can create a LoRA on […]

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Machine Learning

Training Stable Diffusion with Dreambooth

Stable Diffusion is trained on LAION-5B, a large-scale dataset comprising billions of general image-text pairs. However, it falls short of comprehending specific subjects and their generation in various contexts (often blurry, obscure, or nonsensical). To address this problem, fine-tuning the model for specific use cases becomes crucial. There are two important fine-tuning techniques for stable Diffusion: Textual inversion: This technique focuses on retraining the text embeddings of a model to inject a word as a subject. DreamBooth: Unlike textual inversion, […]

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