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PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Sherin Thomas, Sudhanshu Passi

QlikView for Developers. Design and build scalable and maintainable BI solutions

Miguel Angel Garcia, Barry Harmsen

Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code

Keeper L. Sharkey, Alain Chancé, Alex Khan

Quantum Computing Algorithms. Discover how a little math goes a long way

Barry Burd

Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain

Arunkumar Krishnakumar

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems

Alex Khan, Matthew R. Versaggi

Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python

Hassi Norlen

Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language

Srinjoy Ganguly, Thomas Cambier

Quantum Machine Learning and Optimisation in Finance. Drive financial innovation with quantum-powered algorithms and optimisation strategies - Second Edition

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos...

Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos...

R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition

Kuntal Ganguly, Shanthi Viswanathan, Viswa Viswanathan

R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data

Gopi Subramanian

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets

Andrea Cirillo

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making

Vitor Bianchi Lanzetta

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

PKS Prakash, Achyutuni Sri Krishna Rao

R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition

Mark Hodnett, Joshua F. Wiley