Data Science and Analytics

📊 Data-Driven Decisions: ML in E-Commerce Forecasting with Federico Bacci

   ​ Dean interviews Federico Bacci from Bol.com on deploying ML models in production, tackling model explainability, feature engineering, and the role of stakeholder feedback.​ ​ In this episode, Dean speaks with Federico Bacci, a data scientist and ML engineer at Bol, the largest e-commerce company in the Netherlands and Belgium. Federico shares valuable insights into …

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LLM Evaluation Metrics: Benchmarks, Protocols & Best Practices

   ​ Learn about various metrics and benchmarks for Large Language Models evaluation as well as best practices to follow while evaluating the LLMs.​ ​[[{“value”:”Source: Author Introduction Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) due to their ability to understand and generate human language with remarkable proficiency. These models like …

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Top 10 AI Frameworks and Libraries in 2024

​ The top 10 AI frameworks and libraries in Python for 2024, key factors for choosing an AI framework, and popular tools, including scikit-learn.​ ​Image generated with Midjourney Even if you are not directly involved in the field of artificial intelligence, the rapid and exciting developments such as ChatGPT, Llama, Midjourney, and Sora, to name …

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Image Embedding: Benefits, Use Cases, and Best Practices

   ​ Understand image embeddings, and learn about industry use cases and best practices to implement image embeddings in your company.​ ​ Introduction The rapid advancement of image processing over the past decade is no coincidence. Images are ubiquitous and among the kinds of data with the highest dimensionality we can work with. The key to …

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Streamlining Fine-Tuning with LoRA: Optimizing Parameter Selection for LLMs

   ​ We’ll see what LoRA is, how it works, why it’s a game-changer, and how we can fine-tune LLMs using this technique.​ ​[[{“value”:” Optimizing Language Model Fine-Tuning: A Practical Guide to Low-Rank Adaptation In the realm of artificial intelligence, fine-tuning Large Language Models (LLMs) is where the magic truly happens. However, achieving the perfect balance …

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Accelerating ML Model Training with Active Learning Techniques

   ​ Active learning aims to optimize the training process of an ML model using minimum but important and impactful labeled samples by actively selecting them from a large pool of unlabeled data and querying a human annotator to label them.​ ​Photo by Scott Graham / Unsplash Introduction and Background Creating an efficient machine learning model …

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🚑 ML in the Emergency Room with Ljubomir Buturovic

   ​ An interview with Ljubomir Buturovic, VP of ML at Inflammatix, about using machine learning for diagnosing infections and blood tests in the ER. Exploring challenges in diagnostic and prognostic models and offering insights on building datasets for production.​ ​ In this episode, Dean chats with Ljubomir Buturovic, VP of ML and Informatics at Inflammatix. …

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How To Improve Machine Learning Model Accuracy

   ​ Examine how you can improve the overall accuracy of your machine learning models so that they perform well and make reliable predictions.​ ​ In 2018, there were extensive news reports that an Uber self-driving car made an accident with a pedestrian in Tempe, Arizona. The pedestrian died, and investigators found that there was an …

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Best Data Annotation Tools for Machine Learning That You Need to Know

   ​ Discover the essential key metrics to consider when evaluating data annotation tools, and learn about the best tools available.​ ​Source: Author Introduction Just like having a massive pile of books won’t make you a genius unless you read and understand them, a mountain of data won’t make a powerful AI if it’s not properly …

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Top Data Validation Tools for Machine Learning in 2024

   ​ Learn about the most popular tools to validate data. We picked these tools due to their adoption by the biggest companies, and their versatile features.​ ​[[{“value”:”Image generated with Midjourney It was challenging to stop myself from starting this article with some variation of the popular phrase “garbage in, garbage out.” Well, I did it …

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