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I counted all of the yurts in Mongolia using machine learning

Hacker News

This set me on the path drawing bounding boxes on over 10,000 yurts to train a machine learning model to count the rest of the yurts in the country. Although I had never studied or worked with machine learning, I knew through some osmosis that machine learning is well fit for this task. City of Ulaanbaatar.

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The role of engineering in machine learning

Dataconomy

For engineers, a qualification such as a Graduate Diploma in Data Science can help refine their skills further and provide them with the best possible start to roles such as machine learning (ML) engineers. Lets discover how the skills that engineers learn can be readily repurposed for use in one of todays fastest-growing industries.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations.

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Predictive healthcare analytics driving smarter decisions

Dataconomy

CAGR through 2030 showing increasing adoption across the industry. Predictive healthcare analytics refers to the use of advanced data analytics techniques, such as artificial intelligence, machine learning, data mining, and statistical modeling, to forecast future health outcomes based on historical data.

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Large Language Models: A Self-Study Roadmap

Flipboard

billion by 2030, reflecting a substantial CAGR of 33.2% over the forecast period” This means 2025 might be the best year to start learning LLMs. Learning advanced concepts of LLMs includes a structured, stepwise approach that includes concepts, models, training, and optimization as well as deployment and advanced retrieval methods.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

A recent study by Telecom Advisory Services , a globally recognized research and consulting firm that specializes in economic impact studies, shows that cloud-enabled AI will add more than $1 trillion to global GDP from 2024 to 2030. Organizations are looking to accelerate the process of building new AI solutions.

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Protein–ligand data at scale to support machine learning

Flipboard

Positive and negative data will be made openly available, and the machine learning community will be challenged to use these data to build models and predict new, diverse small-molecule binders. Iterative cycles of prediction and testing will lead to improved models and more successful predictions.