Directory Listing: ML
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- 📄 2012 - Deep Learning with Keras [Antonio Gulli].pdf
- 📄 2012 - Machine Learning - [Murphy].pdf
- 📄 2012 - Machine Learning for Hackers [R language]- [Conway & White].pdf
- 📄 2012 - Machine Learning in Action - [Harrington].pdf
- 📄 2012 - Machine Learning. The Art and Science of Algorithms that Make Sense of Data [Flach].pdf
- 📄 2013 - Building Machine Learning Systems with Python - [Richert, Coelho].pdf
- 📄 2013 - Model Based Machine Learning.pdf
- 📄 2013 - SciPy and NumPy [Bressert].pdf
- 📄 2014 - Matplotlib plotting cookbook [Devert].pdf
- 📄 2014 - Understanding Machine Learning - [Shwartz - David].pdf
- 📄 2014 - Understanding Machine Learning theory algorithms [Shwartz - David].pdf
- 📄 2015 - Machine Learning An Algorithmic Perspective - [Marsland].pdf
- 📄 2015 - Machine Learning in Python - [Bowles].pdf
- 📄 2015 - Machine Learning with Python Scikit-Learn.pdf
- 📄 2015 - Neural networks and Deep Learning [Michael Nielsen].pdf
- 📄 2015 - Python Machine Learning - [Sebastian Raschka].pdf
- 📄 2015 - ScipyLectures-simple [Varoquaux, Gouillart, Vahtras].pdf
- 📄 2016 - Deep Learning Book [Goodfellow, Bengio, Courville].pdf
- 📄 2016 - Getting Started with TensorFlow [Zaccone].pdf
- 📄 2016 - Machine Learning for dummies. [Wiley] - [John-Paul-Mueller,-Luca-Massaron].pdf
- 📄 2016 - Machine Learning for Health Informatics - State-of-the-Art and Future Challenges [Holzinger].pdf
- 📄 2016 - Machine Learning for the Web [Isoni].pdf
- 📄 2016 - Python Machine Learning Blueprints [Combs].pdf
- 📄 2016 - Python Real World Machine Learning -[Massaron].pdf
- 📄 2016 - Python. Deeper Insights into Machine Learning [Raskara, Julian, Herty].pdf
- 📄 2017 - Deep Learning a Practitioners Approach [Patterson, Gibson].pdf
- 📄 2017 - Deep Learning with Python A Hands-on Introduction [Ketkar].pdf
- 📄 2017 - Encyclopedia of Machine Learning and Data Mining [Sammut, Webb].pdf
- 📄 2017 - Fundamental Deep Learning - [Buduma, Locascio].pdf
- 📄 2017 - Introduction to Deep Learning Using R [Beysolow].pdf
- 📄 2017 - Introduction to Machine Learning with Python [Müller, Guido].pdf
- 📄 2017 - Learning TensorFlow [Hope, Resheff].pdf
- 📄 2017 - Machine Learning Algorithms [Bonaccorso].pdf
- 📄 2017 - Python Machine Learning 2nd Ed. [Raschka, Mirjalili].pdf
- 📄 2017 - Real-World Machine Learning [Brink, Richards, Fetherolf].pdf
- 📄 2017 - TensorFlow Machine Learning Cook [McClure].pdf
- 📄 2017 - The lion way [Battiti · Brunato].pdf
- 📄 2018 - Deep Learning for dummies [Lowe].pdf
- 📄 2018 - Deep Learning Quick Reference - [Bernico].pdf
- 📄 2018 - Deep Learning Quick Reference -[Mike Bernico].pdf
- 📄 2018 - Deep Learning with Keras. [Rowel Atienza] Packt.pdf
- 📄 2018 - Deep Learning with Python [Cholllet].pdf
- 📄 2018 - Deep learning with pytorch [Manas Agarwal].pdf
- 📄 2018 - Deep Learning with PyTorch [Stevens, Antiga].pdf
- 📄 2018 - Foundations of Machine Learning - [Mohri, Rostamizadeh , Talwalkar].pdf
- 📄 2018 - Foundations of Machine Learning [2nd Ed] [Mohri, Rostamizadeh , Talwalkar].pdf
- 📄 2018 - Introducción Práctica con Keras [Jordi Torres].pdf
- 📄 2018 - Machine Learning Systems - [Smith].pdf
- 📄 2018 - Machine Learning with TensorFlow - [Nishant Shukla].pdf
- 📄 2018 - Machine Learning Yearning [Andrew Ng].pdf
- 📄 2018 - Monetizing Machine Learning - [Amunategui, Roopaei].pdf
- 📄 2018 - Practical Machine Learning with Python - [Sarkar, Bali, Sharma].pdf
- 📄 2018 - Practical Machine Learning with Python.pdf
- 📄 2018 - Pro Machine Learning Algorithms [Ayyadevara].pdf
- 📄 2018 - TensorFlow for Deep Learning [].pdf
- 📄 2018 - TensorFlow for Deep Learning [Ramsundar, Zadeh].pdf
- 📄 2019 - Automated Machine Learning Methods, Systems, Challenges [Hutter, Kotthoff, Vanschoren].pdf
- 📄 2019 - Deep Learning for Dummies - Wiley [Mueller, Massaron].pdf
- 📄 2019 - Deep Learning for the Life Sciences - [Ramsundar, Eastman, Walters, Pande].pdf
- 📄 2019 - Generative Deep Learning [Foster].pdf
- 📄 2019 - Grokking Deep Learning - [Trask].pdf
- 📄 2019 - Hands On Machine Learning with Scikit Learn Keras and Tensorflow [Géron] - [O’Reilly].pdf
- 📄 2019 - Hands On Machine Learning with Scikit Learn Keras and Tensorflow [Géron].pdf
- 📄 2019 - Interpretable Machine Learning [Molnar].pdf
- 📄 2019 - Machine Learning in Production[Kelleher, Kelleher].pdf
- 📄 2019 - Mastering Machine Learning with Python in Six Steps - [Swamynathan].pdf
- 📄 2019 - Mastering Machine Learning with Python in Six Steps, 2nd Edition.pdf
- 📄 2019 - Programming PyTorch for Deep Learning - [Pointer].pdf
- 📄 2019 - Programming PyTorch for Deep Learning[Pointer].pdf
- 📄 2019 - Python Deep Learning - [Packen] [Vasilev, Slater, Spacagna, Roelants, Zocca].pdf
- 📄 2019 - Python Deep Learning - [Vasilev, Slater, Spacagna, Roelants, Zocca].pdf
- 📄 2019 - Strengthening Deep Neural Networks - [Warr].pdf
- 📄 2019 - The hundred-page machine learning book - [Burkov].pdf
- 📄 2020 - A Concise Introduction to Machine Learning - [Faul].pdf
- 📄 2020 - Advanced Deep Learning with TensorFlow 2 and Keras - [Rowel Atienza].pdf
- 📄 2020 - Building Machine Learning Pipelines - [Hapke, Nelson].pdf
- 📄 2020 - Building Machine Learning Powered Applications - [Ameisen].pdf
- 📄 2020 - Deep Learning for Coders with fastai and PyTorch. [Howard - Gugger].pdf
- 📄 2020 - Deep Learning with PyTorch - [Stevens, Antiga, Viehmann].pdf
- 📄 2020 - Dive into Deep Learning [Zhang, Lipton, Li, Smola].pdf
- 📄 2020 - Intro to Python for Computer Science and Data Science[Deitel, Deitel].pdf
- 📄 2020 - Machine Learning for Algorithmic Trading - [Jansen].pdf
- 📄 2020 - Practical Time Series Analysis Prediction - [Nielsen].pdf
- 📄 2020 - The Deep Learning Workshop [Baig, Joseph, Sadvilkar, Silaparasetty, So].pdf