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Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

Antonio Gulli

5/5 ( ratings)

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Language: English

Pages: 198

Format: Kindle Edition

Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

Antonio Gulli

5/5 ( ratings)

Read Download

Language: English

Pages: 198

Format: Kindle Edition

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Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)

More books from Antonio Gulli

Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python

Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition

TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python

A collection of Data Science Interview Questions Solved in Python and Spark: BigData and Machine Learning in Python and Spark (A Collection of Programming Interview Questions Book 6)

A collection of System Design Interview Questions

A Collection of Bit Programming Interview Questions solved in C++

A Collection of Dynamic Programming Interview Questions Solved in C++

A Collection of Design Pattern Interview Questions Solved in C++

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition

Библиотека Keras - инструмент глубокого обучения