Fusion Strategy How Real-time Data and AI Will Power the Industrial Future
Vijay Govindarajan, Venkat Venkatraman
Published 2024
214 pages
The most popular data science books of 2024
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2024.
Results
Azure OpenAI Service for Cloud Native Applications Designing, Planning, and Implementing Generative AI Solutions
Adrián González Sánchez
Published 2024
246 pages
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
James Serra
Published 2024
275 pages
Building Recommendation Systems in Python and Jax Hands-On Production Systems at Scale
Bryan Bischof, Hector Yee
Published 2024
400 pages
Foundations of Data Science with Python
John M. Shea
Published 2024
496 pages
Fractional Difference, Differential Equations, and Inclusions Analysis and Stability
Saïd Abbas, Bashir Ahmad, Mouffak Benchohra, Abdelkrim Salim
Published 2024
300 pages
Hands-On Differential Privacy Introduction to the Theory and Practice Using OpenDP
Ethan Cowan, Michael Shoemate, Mayana Pereira
Published 2024
360 pages
Blockchain and Machine Learning for IoT Security
Mourade Azrour
Published 2024
152 pages
Getting to Know ArcGIS Pro 3.2
Michael Law, Amy Collins
Published 2024
352 pages
IoT, Machine Learning and Data Analytics for Smart Healthcare
Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz, Sultan Ahmad, Shakir Khan, Said Benkirane
Published 2024
108 pages
Swarm Intelligence Theory and Applications in Fog Computing, Beyond 5G Networks, and Information Security
V. Dinesh Reddy
Published 2024
240 pages
Data Science and Big Data Analytics Proceedings of IDBA 2023
Xin-She Yang, Aynur Unal, Dharm Singh Jat, Durgesh Mishra
2024 · 2025 edition
747 pages
Big Data and Data Science Engineering Volume 6
Roger Lee
2024 · 2025 edition
198 pages
Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Stefan Sandfeld
2024 · 2025 edition
618 pages
Producing Artificial Intelligent Systems The Roles of Benchmarking, Standardisation and Certification
Maria Isabel Aldinhas Ferreira
2024 · 2025 edition
167 pages
The Digital Marketer's Playbook How to Effectively Collaborate with Agencies, Freelancers, and Digital Marketing Experts
Diego Adolfo Carrasco Gubernatis
2024 · 2025 edition
250 pages
Data & AI Imperative Designing Strategies for Exponential Growth
Lillian Pierson
2024 · 2025 edition
352 pages
Artificial Intelligence of Things for Smarter Eco-Cities Pioneering the Environmental Synergies of Urban Brain, Digital Twin, Metabolic Circularity, and Platform
Simon Elias Bibri
2024 · 2025 edition
608 pages
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security
George Dimitoglou, Leonidas Deligiannidis, Hamid Arabnia, Ahmad Tafti
2024 · 2025 edition
348 pages
Linguistics Across Disciplinary Borders The March of Data
Steven Coats, Veronika Laippala, Mikko Laitinen, Martin Schweinberger
2024 · 2025 edition
264 pages
Enterprise Interoperability X Enterprise Interoperability Through Connected Digital Twins
Raúl Rodríguez-Rodríguez, Yves Ducq, Ramona-Diana Leon, David Romero
2024 · 2025 edition
314 pages
Bidirectional Comparison of Nominal Sets Asymmetry of Proximity
Grażyna Szkatuła, Maciej Krawczak
2024 · 2025 edition
206 pages
Applying Drones to Current Societal and Industrial Challenges
Diego Carou Porto, Antonio Sartal Rodriguez, J. Paulo Davim
2024 · 2025 edition
290 pages
Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations
Christophe Gaie, Mayuri Mehta
2024 · 2025 edition
239 pages