Ever wondered how companies process millions of transactions in real-time using ML? The secret lies in algorithm optimization. From standard to optimized implementations: Linear Models: O(n) → O(n/w) with SIMD Random Forest: O(th) → O(tlog(h)) with LightGBM k-NN: O(n*d) → O(log(n)) with modern variants I prepared an analysis of the performance trade-offs of traditional ML algorithms, and implementation considerations. Perfect for ML practitioners focused on system optimization.
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Interesting essay about how to get further with classic ML algorithms by going beyond default parameters
Ever wondered how companies process millions of transactions in real-time using ML? The secret lies in algorithm optimization. From standard to optimized implementations: Linear Models: O(n) → O(n/w) with SIMD Random Forest: O(th) → O(tlog(h)) with LightGBM k-NN: O(n*d) → O(log(n)) with modern variants I prepared an analysis of the performance trade-offs of traditional ML algorithms, and implementation considerations. Perfect for ML practitioners focused on system optimization.
Optimizing Machine Learning Algorithms: From Theory to Practice
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Practical one this on using ML https://lnkd.in/gCC9-Bd7
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🤖💡 Discover how machine learning is transforming trading! 🌟 At Global Financial Engineering, Inc., we integrate ML models into our trading algorithms to enhance GATS and achieve superior outcomes. Learn more in our latest article. 📈 #MachineLearning #AlgorithmicTrading #PropTrading #FinancialEngineering #GATS #Finance #DrGlenBrown 📖 Read the full article: https://lnkd.in/e7rYm9w3
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🤖💡 Discover how machine learning is transforming trading! 🌟 At Global Financial Engineering, Inc., we integrate ML models into our trading algorithms to enhance GATS and achieve superior outcomes. Learn more in our latest article. 📈 #MachineLearning #AlgorithmicTrading #PropTrading #FinancialEngineering #GATS #Finance #DrGlenBrown 📖 Read the full article: https://lnkd.in/e5wjhUBh
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🤖💡 Discover how machine learning is transforming trading! 🌟 At Global Financial Engineering, Inc., we integrate ML models into our trading algorithms to enhance GATS and achieve superior outcomes. Learn more in our latest article. 📈 #MachineLearning #AlgorithmicTrading #PropTrading #FinancialEngineering #GATS #Finance #DrGlenBrown 📖 Read the full article: https://lnkd.in/e5wjhUBh
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When tackling a problem using any Machine learning technique, it's crucial to consistently consider two key factors at every stage of the project: the quality of the training data and the balance between underfitting and overfitting.
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The time complexity of 10 popular ML algorithms. Understanding the run time of ML algorithms is important because it helps us: - Build a core understanding of an algorithm. - Understand the data-specific conditions that allow us to use an algorithm. For instance, using SVM or t-SNE on large datasets is infeasible because of their polynomial relation with data size. Similarly, using OLS on a high-dimensional dataset makes no sense because its run-time grows cubically with total features.
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Today's word: ROC Curve. The ROC curve (Receiver Operating Characteristic curve) is a crucial tool in evaluating the performance of machine learning models, particularly in binary classification problems. Click the link in the comments section below to learn more.
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PCA Indepth Geometric And Mathematical InDepth Intuition ML Algorithms Great Tutorial https://lnkd.in/gv6VkbMx
PCA Indepth Geometric And Mathematical InDepth Intuition ML Algorithms
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Day:2 Understanding Machine Learning algorithm principles and usecase with examples.
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Embedded Software Engineering consultant #EmbeddedAI, #freelancing
1moDid you run time and space complexity analysis on any recent LLMs like llama, etc? interested to know