To start, I would choose an introduction/beginner course that I like the look of or recommendations from another person who I know has good Python skills. You might have heard me say in one of my previous posts that there is no such thing as the “right” course. While this is definitely true, some courses…
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Exploratory Data Analysis (or EDA) stands as a core phase within the Data Analysis Process, emphasizing a thorough investigation into a dataset's inner details and characteristics.
Its primary aim is to uncover underlying patterns, grasp the dataset's structure, and identify any potential anomalies or relationships between variables.
By performing EDA,…
Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of Large Language Models (LLMs) in general knowledge of the world.
Humans mark or process the provided photos for convenience and rigor to address the intricate…
Running a multimodal LLaVA model, camera, and speech synthesis Image by Enoc Valenzuela, UnsplashModern large multimodal models (LMMs) can process not only text but also different types of data. Indeed, “a picture is worth a thousand words,” and this functionality can be crucial during the interaction with the real world. In this “weekend project,” I…
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As a professional who works with data, I understand the importance of being efficient and accurate in the workplace. That's why I believe mastering the command line is an essential skill for streamlining data analysis tasks and improving productivity. It's equally important for regular users who want to optimize their…
In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while LLMs have grown to over 100 billion parameters, the vision models they rely on need to be bigger, hindering their potential. Scaling up contrastive language-image…
Meta’s open-source Seamless models: A deep dive into translation model architectures and a Python implementation guide using HuggingFace This post was co-authored with Rafael Guedes. The growth of an organization is not limited to its country boundaries. Some organizations only sell or operate on external markets. This globalization comes with several challenges, one being how…
Traditional invoice processing methods often fall short in the ever-evolving landscape of business operations, where time is money and precision is paramount. Cumbersome, time-consuming, and prone to errors, manual invoice data capture has long been a bottleneck for businesses striving for efficiency. However, finance is changing, and artificial intelligence's transformative power marks a new era.…
Procurement is a pivotal function for any business upon which the pillars of strategic sourcing and cost management rest. This is more than just buying; it's about acquiring goods and services in a way that optimizes value for an organization. Ultimately, understanding and refining this process is essential for steering your business towards more profitable…
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In any data pipeline, the data ingested from the sources typically goes through several transformations, so much that the data consumed from the destination is widely different from the data actually ingested from the source. Data lineage provides a comprehensive way to chart the flow of data through…