Machine Learning in Biotechnology and Life Sciences : Build Machine Learning Models Using Python and Deploy Them on the Cloud. by Alkhalifa, Saleh

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An inductive logic programming approach to statistical relational learning / Kristian Kersting. by Kersting, Kristian

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Data mining with decision trees : theory and applications / Lior Rokach, Oded Maimon. by Rokach, Lior

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Scala for Machine Learning - Second Edition. by Nicolas, Patrick R.

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Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza. by Atienza, Rowel

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning : Incorporate New Powerful ML Algorithms Such As Deep Reinforcement Learning for Games. by Lanham, Micheal

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Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques. by Tattar, Prabhanjan Narayanachar

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Artificial intelligence design and solution for risk and security / Archie Addo, Srini Centhala, and Muthu Shanmugam. by Addo, Archie, Centhala, Srini, Shanmugam, Muthu

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Recurrent Neural Networks with Python Quick Start Guide : Sequential Learning and Language Modeling with TensorFlow. by Kostadinov, Simeon

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Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola. by Schölkopf, Bernhard

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Ontology learning and population : bridging the gap between text and knowledge / edited by Paul Buitelaar and Philipp Cimiano.

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Machine Learning for Financial Engineering. by Gyorfi, Laszlo

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Advanced Deep Learning with Keras : Apply Deep Learning Techniques, Autoencoders, GANs, Variational Autoencoders, Deep Reinforcement Learning, Policy Gradients, and More. by Atienza, Rowel

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Machine Learning Quick Reference : Quick and Essential Machine Learning Hacks for Training Smart Data Models. by Kumar, Rahul

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Supervised Machine Learning with Python : Develop Rich Python Coding Practices While Exploring Supervised Machine Learning. by Smith, Taylor, 1953-

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Python feature engineering cookbook : over 70 recipes for creating, engineering, and transforming features to build machine learning models / Soledad Galli. by Galli, Soledad

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Angular and Deep Learning Pocket Primer by Campesato, Oswald

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Advanced Natural Language Processing with TensorFlow 2 Build Effective Real-World NLP Applications Using NER, RNNs, Seq2seq Models, Transformers, and More. by Bansal, Ashish

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Data analytics made easy : use machine learning and data storytelling in your work without writing... any code. by Mauro, Andrea de

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Reproducible Data Science with Pachyderm : Learn How to Build Version-Controlled, End-to-end Data Pipelines Using Pachyderm 2. 0. by Karslioglu, Svetlana

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