New books in Computer Sciences

Machine Learning with Python Tarkeshwar Barua, Kamal Kant Hiran, Ritesh Kumar Jain, Ruchi Doshi Volume V Cybersecurity Risk Management Enhancing Leadership and Expertise Kurt J. Engemann, Jason A. Witty Computer-Aided Drug Design QSAR, Molecular Docking, Virtual Screening, Homology and Pharmacophore Modeling Aman Thakur, Vineet Mehta, Priyanka Nagu, Kiran Goutam Quantum Machine Learning Quantum Algorithms and Neural Networks Pethuru Raj, Houbing Herbert Song, Dac-Nhuong Le, Narayan Vyas Artificial Intelligence Machine Learning, Convolutional Neural Networks and Large Language Models Leonidas Deligiannidis, George Dimitoglou, Hamid R. Arabnia Algorithmische Graphentheorie Deterministische und randomisierte Algorithmen Volker Turau, Christoph Weyer Hybrid Information Systems Non-Linear Optimization Strategies with Artificial Intelligence Ramakant Bhardwaj, Pushan Kumar Dutta, Pethuru Raj, Abhishek Kumar, Kavita Saini, Alfonso González Briones, Mohammed K.A. Kaabar Sustainability in Healthcare mHealth, AI, and Robotics Rishabha Malviya, Sonali Sundram, Babita Gupta The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies Anthony Elliott Demystifying Artificial Intelligence Symbolic, Data-Driven, Statistical and Ethical AI Emmanuel Gillain Diskrete Mathematik kompakt Von Logik und Mengenlehre bis Zahlen, Algebra, Graphen und Wahrscheinlichkeit Bernd Baumgarten Observability and Mathematics Quantum Yang–Mills Theory and Modelling Boris Khots Digitalization in Practice Intersections, Implications and Interventions Jessamy Perriam, Katrine Meldgaard Kjær Algorithms Big Data, Optimization Techniques, Cyber Security Sushil C. Dimri, Abhay Saxena, Bhuvan Unhelkar, Akshay Kumar Differential Equations Solving Ordinary and Partial Differential Equations with Mathematica® Marian Mureşan Mathematical Modeling of the Learning Curve A Laboratory Manual and Source Book Charles I. Abramson, Igor Igorevich Stepanov, Riley J. Wincheski