Machine Learning

Machine Learning

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Learn XGBoost with this comprehensive guide, which covers model overview, performance analysis, and hands on code demos for real world applications....


Keywords: azure, julia, algorithms, tutorial, cpu
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These days, businesses are under increasing pressure to comply with stringent regulations while also combating fraudulent activities. The high volume of data and the intricate requirements of real time fraud detection and compliance reporting are fre...


Keywords: scala, classification, python, algorithms, sklearn
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Imagine world in which every delivery arrives precisely on schedule, inventory levels are optimal and routes run as efficiently as possible 8211 that is the reality being created by logistics technology today. Global logistics market revenues are ...


Keywords: programming, container, wireframe, flutter, prototype
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Data is one of the most critical assets for businesses and big companies. With theThe post Top Data Mining Tools You Need to Know in 2025 appeared first on Intellipaat Blog....


Keywords: machine learning, data science, design
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Learn how to use TensorFlow, powerful open source library, to build and deploy machine learning and deep learning models across various applications....


Keywords: tpu, tutorial, cpu, tensorflow, regression
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On the 14 May 2025, Amsterdam will host the return of Last Mile Leaders Europe, high impact event powered by FarEye that brings together over 80 influential voices from across the continents logistics, retail, and supply chain sectors. Far more than ...


Keywords: iot, startup, analytic, drone, ios
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AI in diagnosis is paving the way for medical care that not just cures but also prevents illnesses or diseases from spreading. Healthcare has predominantly taken reactive approach to curing medical ailments, but with artificial intelligence, it can a...


Keywords: tpu, algorithms, nlp, quant, design

Test set dataconomy.com | Yesterday

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Test sets play an essential role in machine learning, serving as the benchmark for evaluating how well model can perform on new, unseen data. This impartial assessment is crucial for ensuring the models reliability and accuracy in real world applicat...


Keywords: statistic, tpu, machine learning, test
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Classifying Human Traffic with Random Forest Decision Trees...


Keywords: ...
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Recently, for language modeling, Group Relative Policy Optimization GRPO is proposed to compute the advantage for each output by subtracting the mean reward, as the baseline, for all outputs in the group. Code...


Keywords: optimization, tpu, reinforcement learning
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Large Language Models LLMs often struggle with mathematical reasoning tasks requiring precise, verifiable computation. Code...


Keywords: rl , mathematic
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Correlation brought ruler to curve fight. MI brought thetruth. IntroductionA few months into working on ML projects, was pretty confident in my ability to identify useful features. Correlation matrices Check. Feature heatmaps Double check. But then...


Keywords: regression, tpu, python, mathematic, sklearn

The Evolution of GRPO: DAPO pub.towardsai.net | Today

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Dynamic sAmpling Policy Optimization DAPO is actually type of reinforcement learning optimization algorithm. To thoroughly understand DAPO, we need to progressively sort out and explain it from PPO gt GRPO gt DAPO.Proximal Policy Optimization ...


Keywords: tpu, reinforcement learning, sampling, mathematic
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Being Data Scientist today is about more than just writing code or building machine learning models. Employers aren 8217 t just looking for technical skills. They want professionals who think like problem solvers, communicate like storytellers, and ...


Keywords: ml , machine learning, data
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If data is the source of AI, then it follows that the best data creates the best AI. But where does one find ultra high quality data According to the folks Read more 8230 The post SuperAnnotate and the Quest for Superior AI Training Data appeared f...


Keywords: azure, chatbot, aws, natural language

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