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book Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R
Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R
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book Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
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book Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles
Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles
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book Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
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book Network anomaly detection: a machine learning perspective
Network anomaly detection: a machine learning perspective
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06.02.2024
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book IoT, AI, and Blockchain for .NET: building a next-generation application from the ground up
IoT, AI, and Blockchain for .NET: building a next-generation application from the ground up
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book IoT, AI, and Blockchain for .NET: building a next-generation application from the ground up
IoT, AI, and Blockchain for .NET: building a next-generation application from the ground up
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book Tensorflow for deep learning from linear regression to reinforcement learning
Tensorflow for deep learning from linear regression to reinforcement learning
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book Tensorflow for deep learning from linear regression to reinforcement learning
Tensorflow for deep learning from linear regression to reinforcement learning
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book Вероятностные графовые модели. Принципы и приложения
Вероятностные графовые модели. Принципы и приложения
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