[ad_1] Image created with Microsoft DesignerUnderstanding vision capabilities of Large Multimodal Models The recent advances in Generative AI have enabled the development of Large Multimodal Models (LMMs) that can process and generate different types of data, such as text, images, audio, and video. LMMs share with “standard” Large Language Models (LLMs) the capability of generalization…

[ad_1] MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on UnsplashWelcome back! In the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today, we’re diving headfirst into the world of loss functions: the silent superheroes guiding our…

[ad_1] An exploration of SAC’s Pioneering Role as a Data-Driven Social Enterprise Image generated by author with DALL-EIn social enterprises, data is more than numbers on a spreadsheet. Every data point represents a life, a story, or an opportunity for positive change. One of the most significant examples of data-driven social enterprises are animal welfare…

[ad_1] The fundamental building block of CNNs ”https://www.flaticon.com/free-icons/neural-network" title=”neural network icons.” Neural network icons created by Freepik — Flaticon.My recent articles have been a series on neural networks where we go from the simple perceptron to complicated architectures and how to deal with common problems in deep learning. If you are interested, feel free to…

[ad_1] Once in a while, for more efficient allocation of resources, the Government may collect data from individuals or households about their demographic characteristics, such as age, gender, and country of birth, as well as their socio-economic characteristics, such as income, occupation and spend. Some of these data are then aggregated by geographic regions and…

[ad_1] Using GPT Vision to interpret and aggregate image data. Photo by David Travis on Unsplash.Integrating visual inputs like images alongside text and speech into large language models (LLMs) is considered an important new direction in AI research by many experts in the field. By augmenting these models to handle multiple modes of data beyond…

[ad_1] Photo by Jason Goodman on UnsplashHow to up-level your structured problem solving skills and communication skills So you have brushed up on ML concepts, practiced Python and SQL for months, you think you are done with interview prep. But you might be missing the most important and hardest-to-prepare-for part of the interview — problem-solving…

[ad_1] My learnings from Databricks customer engagements Figure 1: a technical diagram of how to write apache spark. Image by author.At Databricks, I help large retail organizations deploy and scale data and machine learning pipelines. Here are the 8 most important spark tips/tricks I’ve learned in the field. Throughout this post, we assume a general…

[ad_1] A comprehensive guide to the best open-source GIS software 11 min read · 14 hours ago Photo by Louis Hansel on UnsplashMore than 10 years when I started my data career as a GIS (Geographic Information System) analyst, two pieces of do-it-all GIS software were prominent. 10 years later, it is…

[ad_1] Here we won’t start from scratch. As stated earlier, we already developed the code that builds a Pyomo model of the TSP and solves it in sprint 3. And trust me, that was the hardest part. Now, we have the easier task of organizing what we did in a way that makes it general,…