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Machine learning collection pdf

Learn TensorFlow Implement Machine Learning and Deep Learning Models with Python Manure Singh Apress 2020 9781484255575 eng pdf

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/Learn TensorFlow 2.0_ Implement Machine Learning and Deep Learning Models with Python - Manure,Singh (Apress;2020;9781484255575;eng).pdf

6.5 MB

/Learn PySpark_ Build Python-Based Machine Learning and Deep Learning Models - Pramod Singh (Apress;2019;9781484249604;eng).pdf

9.8 MB

/Hands-On Scikit-Learn for Machine Learning Applications_ Data Science Fundamentals with Python - David Paper (Apress;2019;9781484253724;eng).pdf

3.3 MB

/Mathematics for Machine Learning - Deisenroth,Faisal,Ong (Cambridge University Press;2020;9781108455145;eng).pdf

17.1 MB

/2018_Mastering TensorFlow 1.x_ Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras.pdf

15.4 MB

/Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples - Sayan Mukhopadhyay (Apress;2018;9781484234495;eng).pdf

2.3 MB

/Building Intelligent Systems_ A Guide to Machine Learning Engineering - Geoff Hulten (Apress;2018;9781484234310;eng).pdf

3.6 MB

/Learning scikit-learn- Machine Learning in Python - Garreta,Moncecchi (Packt Publishing;2013;9781783281930;eng).pdf

1.4 MB

/Mathematics For Machine Learning - Deisenroth,Faisal,Ong (Cambridge University Press;2020;9781108455145;Eng)(1).pdf

17.3 MB

/Building Machine Learning and Deep Learning Models on Google Cloud Platform.pdf

32.9 MB

/MATLAB Deep Learning- With Machine Learning, Neural Networks and Artificial Intelligence - Kim (Apress;2017;9781484228449;eng).pdf

3.6 MB

/Matlab Machine Learning - Paluszek,Thomas (Apress;2017;9781484222492;Eng).pdf

10.4 MB

/Applied Machine Learning - David Forsyth (Springer;2019;9783030181130;eng).pdf

17.4 MB

/Machine Learning with PySpark_ With Natural Language Processing and Recommender Systems - Pramod Singh (Apress;2019;9781484241301;eng).pdf

7.4 MB

/Hands-On Machine Learning with TensorFlow.js - Kai Sasaki (Packt;2019;9781838821739;eng).pdf

27.0 MB

 

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