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Dive into Deep Learning

Computer Age Statistical Inference, Student Edition : Algorithms, Evidence, and Data Science

Data-Driven SEO with Python : Solve SEO Challenges with Data Science Using Python

Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers

Machine Learning : A Practitioner’s Approach

Multivariate Statistical Machine Learning Methods for Genomic Prediction

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

The The TensorFlow Workshop : A hands-on guide to building deep learning models from scratch using real-world datasets

Deep learning: a practitioner's approach

Deep learning: a practitioner's approach

C++ Machine Learning

Deep Learning Architectures: A Mathematical Approach

Boosting : Foundations and Algorithms

Programming : Python Machine Learning, Python Crash Course, and Python Data Science for Beginners

Mastering Azure Machine Learning : Execute large-scale end-to-end machine learning with Azure

Machine Learning Engineering on AWS : Build, scale, and secure machine learning systems and MLOps pipelines in production

Machine Learning Using R

Data-Driven SEO With Python: Solve SEO Challenges With Data Science Using Python

The Unsupervised Learning Workshop : Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition

Practical Machine Learning - : Experimental algorithms and techniques for machine learning and artificial intelligence

Hands-On Artificial Intelligence with TensorFlow : Useful techniques in machine learning and deep learning for building intelligent applications

Hands-On Deep Learning Algorithms with Python : Master deep learning algorithms with extensive math by implementing them using TensorFlow

Artificial Intelligence By Example : Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition

The Deep Learning Workshop : Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

TinyML Cookbook : Combine machine learning with microcontrollers to solve real-world problems

Python : This book includes: Python basics for Beginners + Python Automation Techniques And Web Scraping + Python For Data Science And Machine Learning

Deep Learning Architectures : A Mathematical Approach

Data Science Training - Supervised Learning : Ein praktischer Einstieg ins uberwachte maschinelle Lernen

Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings

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