Machine Learning

Machine Learning

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Large Language Models LLMs are making headlines every day. At the same time, traditional machine learning ML and statistical methods are firmly holding their ground and continue to be used widely. So, which one should you use, and when In this a...


Keywords: analytic, transformer, neural network, correlation
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Discover essential steps to become an expert in analyst supply chain management.The post Steps to Become an Analyst Supply Chain Management Expert appeared first on Techneeds....


Keywords: security, excel, cybersecurity, sampling, network
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Unsupervised, generalizable method for doing anomaly detection An ensemble of models, weighted according to their reluctance to flag anomalies, outperforms its predecessors. Machine learning...


Keywords: test, hyperparameter, tpu, turing, quant
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In 2025, the line between developers and non developers is becoming increasingly blurred. Thanks to the rise of no code AI platforms, anyonewhether you 8217 re business analyst, entrepreneur, or marketercan now create powerful, production ready AI a...


Keywords: ml , automl, framework, turing
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Bio IT World Massive progress has been enabled by individual applications of artificial intelligence AI and machine learning ML in drug discovery, AlphaFold being one of the most prominent, due to their ability to predict the type of molecules th...


Keywords: google cloud, artificial intelligence, turing
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The paper introduces RL4RF, novel framework designed to address the shortcomings of existing environments in Reinforcement Learning RL for Forex trading. RL4RF offers comprehensive and authentic simulation of the Forex market, mitigating limitation...


Keywords: framework, ios, algorithms, reinforcement learning
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workflow of data analytics for energy power forecasting. The data input energy data from forecasting models is the main data consumption or generation and the auxiliary data such as irradiation, wind speed, etc. . The Data Analytics models recei...


Keywords: correlation, statistic, machine learning, tpu
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Malcolm Owen AppleInsider Apple seems to be working on adding CUDA support to its open source machine learning framework MLX, which may mean code written using MLX could work with CUDA mdash Nvidia s hardware is often used to process machine learni...


Keywords: machine learning, framework
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Social media provides wealth of information for decision making, especially for finding restaurants in unfamiliar areas. This study leverages Zomato restaurant data to unveil latent structures and hidden patterns within the data that influence custom...


Keywords: algorithms, clustering, machine learning, classification
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Classifying Human Traffic with Random Forest Decision Trees...


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Introduction As artificial intelligence AI continues to revolutionize industries, two branchesGenerative AI and Predictive AIare making headlines. Although they both stem from machine learning and deep learning technologies, their goals, methodolog...


Keywords: network, machine learning, deepfake, tpu
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AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre training, supervised fine tuning, direct preference optimization, reinforcement learning from human feedback and mod...


Keywords: algorithms, quant, self-supervised, supervised learning
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Publication date November 2025Source Artificial Intelligence, Volume 348Author s Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li...


Keywords: algorithms, artificial intelligence, sampling, reinforcement
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Publication date October 2025Source Artificial Intelligence, Volume 347Author s Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo...


Keywords: reinforcement learning, artificial intelligence
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Building Robust Data Pipelines with Apache Iceberg Production Deep Dive1. IntroductionThe relentless growth of data volume and velocity presents constant engineering challenge maintaining query performance and data consistency in the face of evolvi...


Keywords: cpu, scala, framework, network, security

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