• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611

Probability & Statistics in 2027

Probabilistic Modelling for Advanced Data Analysis by Tyagi, Amit Kumar
Bivariate Copulas, Transformations and Measures of Concordance by Schmidt, Klaus D., Fuchs, Sebastian
Isolation-Inspired Machine Learning: To Succeed When Deep Learning Fails by Ting, Kai Ming
From Classical Analysis to Analysis on Fractals: A Tribute to Robert Strichartz, Volume 2 by
The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook by Rennie, Nicola
The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook by Rennie, Nicola
Confidence Intervals for Proportions: Analysis of Binary Data with Applications to Survival Analysis by Qin, Yuxin, Leemis, Lawrence, Krehbiel, Heather
Recent Trends in AI Enabled Technologies: Third International Conference, Thinkai 2025, Hyderabad, India, December 19-20, 2025, Proceedings by
Applied Stochastic Modeling by Arunachalam, Viswanathan, Blanco-Castañeda, Liliana
Statistical Models for Wildlife Survey Data by Morgan, B. J. T., Buckland, Stephen T., Dennis, Emily B.
Combinatorics, Graph Theory and Computing: Seiccgtc 2024, Boca Raton, Usa, March 4-8 by
Computational Differential Equations with AI: Modern Machine Learning Approaches by Chakraverty, Snehashish, Kumar Samota, Sandeep, Gupta, Reema
Information Retrieval and Deep Learning by Lan, Yanyan, Cheng, Xueqi, Guo, Jiafeng
Networks in Motion: Electric Vehicle Intelligence by Sinha, Saurabh, Nwulu, Nnamdi, Fanoro, Mokesioluwa
Branching Processes and Related Fields by
Parameter Estimation in Fractional Stochastic Differential Equations by Bishwal, Jaya P. N.
Handbook of Artificial Intelligence and Machine Learning in Decision Making by
Big Data in Transportation: A Spatio-Temporal Analysis of Economic Approach by Li, Hongchang, Gu, Anya Lin
Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields: 24th International Conference, Itmm 2025, Krasnoyarsk, Russia by
Mathematical Modeling for Data Science: N2ads, Athens, Greece, April, 7-8, 2025 and M2a25, Marrakech, Morocco, February, 18-20, 2025 by
Medical Biostatistics, Fifth Edition by Malhotra, Rajeev Kumar, Indrayan, Abhaya
Recent Advances in Artificial Intelligence and Machine Learning: Proceedings of Aitces 2024, Volume 2 by
Inside Metaheuristics: The Operators That Drive Optimization by Vega-Parra, Fernando, Cuevas, Erik, González-Sánchez, Óscar A.
de Branges' Theory for Processes with Stationary Increments by Dzhaparidze, Kacha
Contemporary Extreme Value Methods: Inference, Computation, and Forecasting by Ardakani, Omid M.
Ai-Driven Experimental Research in Nanomaterials: Advances in Catalysis, Energy Storage and Sensing by
Informationstechnologie Und Big Data: Konzeption, Messung Und Erfolgswirkung Der Big-Data-Analytics-Fähigkeit by Weyerer, Jan C.
Technische Zuverlässigkeit: Datenanalytik, Modellierung, Risikoprognose by Bracke, Stefan
Evidenzbasierte Forschung in Den Sozial- Und Wirtschaftswissenschaften by Kindermann, Harald
Angewandte Mathematik in Projekten: Modelle, Simulationen, Übungen Mit MATLAB Und Mathematica by Proß, Sabrina, Imkamp, Thorsten
Smart Integration of AI in Additive Manufacturing: Innovation, Application, and Future Directions by
Spatial Crowdsourcing by Tong, Yongxin, Zeng, Yuxiang, Zhou, Zimu
Analysis and Geometry of Random Fields by
Distributionen: Theorie Und Grundlagen Ohne Topologisches Vorwissen Verstehen by Noll, André
Trust in Artificial Intelligence: Organizational, Educational, Technical and Societal Perspectives by
Entrepreneurship, Big Data, and AI Synergy: Ethical, Societal, and Regulatory Considerations by
Networks and Optimization: Models, Algorithms, and Technologies for Network Analysis by
Statistical Data Analysis Using R: A Practical Introduction by Chandra, Shalini, Kumar, Shrawan, Tyagi, Deepa
Statistical Data Analysis Using R: A Practical Introduction by Chandra, Shalini, Kumar, Shrawan, Tyagi, Deepa
Design with Generative AI: Creativity in the Era of Machine Intelligence by Kim, Dongyun, Li, Lezhi
Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches by Palayangoda, Lochana, Ng, Hon Keung Tony
Learning with Support Vector Machines: From Equations to Applications by Mishra, Bhubaneswari, Chakraverty, Snehashish
Machine Learning Systems: The Role of Hardware Design for High Performance Computing by
Proceedings of the 8th International Conference on Machine Learning and Machine Intelligence Vol 2: Proceedings of MLMI 2025 by
Bayesian Macroeconometrics: Methods and Applications by Chan, Joshua C. C.
Bayesian Macroeconometrics: Methods and Applications by Chan, Joshua C. C.
Process Mining Workshops: Icpm 2025 International Workshops, Montevideo, Uruguay, October 20-24, 2025, Revised Selected Papers by
Proceedings of the 10th International Conference on Innovation in Artificial Intelligence: Proceedings of Iciai 2026 by
Artificial Intelligence in Financial Services: Concepts and the Applications by Heo, Wookjae, Kim, Eunchan, Noh, Junhyug
From Independence to Feedback: A Staged Framework for Modeling Dependence in Longitudinal Data by Selby, Lori P., Wilson, Jeffrey R., Ramezani, Niloofar
Machine Learning for Engineering Applications by Jin, Yan
Graphical Models by Lauritzen, Steffen L.
Automated Machine Learning for Data-Centric Systems: Knowledge-Guided and Experience-Driven Approaches by Wang, Chunnan, Mu, Tianyu, Wang, Hongzhi
AI for Education: The Seventh International Workshop on AI for Education, Ai4edu 2025, Held in Conjunction with AAAI 2026, Singapore, Singapore, Janua by
Unraveling AI Through Parallels to Human Behavior by Eskue, Nathan
Stochastic Models Applied to Air Pollution Studies: A Bayesian Approach by Rodrigues, Eliane Regina
Failure Modelling of Textile Composites by
Machine Learning in Safety-Critical Applications by de Candido, Oliver, Koller, Michael
Sentiment and Reputation: A Statistical Approach: With R Support by Mitic, Peter
Laying the Foundation for Homomorphic Training of Neural Networks: An Analysis of the Required Computational Accuracy by Horn, Lukas Johannes
Fundamentals for Data Science, Vol. I by
Smart Diagnostics and Data-Driven Healthcare AI Approaches and the Role of Cybersecurity by
Lectures on Mathematical Statistics by Yang, Yisong
Statistics--Coping with Uncertainty: A Modern Introduction to Statistics in Times of Machine Learning by de Nicola, Giacomo, Fritz, Cornelius, Kauermann, Göran
Large Language Models: From Theory to Production by Pacheco Aznar, David, Vanegas, Esteban, Noguer I. Alonso, Miquel
Angewandte Statistik: Methodensammlung Mit R by Sachs, Lothar, Hedderich, Jürgen
Measure and Integration: An Introductory Path Toward Functional Analysis and Probability by Thorbjørnsen, Steen
Get Things Done with AI: A Practitioner's Guide to Ai-Native Knowledge Work by Agrawal, Ravish
Data Science and Social Research III: Epistemology, Methods, Technology, Applications, and Relation to Artificial Intelligence by
Stochastik Für Das Gymnasiale Lehramt: Zwischen Hochschulmathematik, Schulbuch Und Unterrichtspraxis by Schnurr, Alexander
Proceedings of the 10th International Conference on Unsolved Problems on Noise: Upon 2026, 8-11 September, 2026, Messina, Italy by
Anatomy of Intelligent Agents: From Neurons to Silicon-Based Agents by Jantsch, Axel
Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change--Volume 2: Proceedings of Gfic-Ciki-Ickm 2025 by
Non-Linearity in Financial Modeling - Vol 3: Practical Guide to Machine Learning in Financial Applications by Maitra, Sarit
Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron by
Stochastic Differential Equations in Computing: A Poisson Counter Approach by Misra, Vishal
Advanced Large Language Model Operations: Best Practices and Key Concepts by Stroud, David
Statistical Methods for Data Analysis and Decision Sciences by
Applied Econometrics in Growth Economics and Microeconomic Analysis: Proceedings from the 2025 Icoae, Bratislava, Slovakia, July 3-5, Vol 2 by
Trojan Code: Adversarial Machine Learning and Secure AI Systems by Kallas, Kassem
Optimization Under Uncertainty: Methods and Applications by
Parameter Estimation in Stochastic Partial Differential Equations by Bishwal, Jaya P. N.
The Journey of Large Language Models and Retrieval-Augmented Generation Systems: Architectures and Innovations Behind Gpt, Llama, Gemini, Claude, Falc by Bhati, Deepshikha, Neha, Fnu, Kasturiarachi, Aloysius Bathi
Multitask Learning in Science by
Undergraduate Mathematics Competitions (1995-2026): Taras Shevchenko National University of Kyiv by Brayman, Volodymyr, Kukush, Alexander
Collecting, Processing and Presenting Geoscientific Information with Matlab(r) by Sillmann, Elisabeth, Trauth, Martin H.
Reinforcement Learning for Engineering by Gajic, Zoran, Xu, Lingyi
Quantum Machine Learning Codebook: Build Hybrid Models with Pennylane, Cirq, and Qiskit in Notebooks by Groppe, Sven, Wayo, Dennis
Bridging Empathy and AI: Dynamics of Interaction and Responsible Design by
Verified AI Systems for Technical Reasoning: Evidence, Retrieval, Uncertainty, and Evaluation for Reference-Aware Assistants by Unpingco, José
Statistical Methods for Quality Engineering: A Practical Guide for Quality Professionals by Pardo, Scott A.
The Calculus of Data: A Rigorous Pythonic Primer by Unpingco, José
Mathematical Analysis, Probability, and Statistics: Basic Theory and Practical Applications to Economics by Covei, Dragoş-Pătru
Privacy-Preserving Federated Learning: Foundations, Techniques, and Practice by Joshi, James B. D., Xu, Runhua
Foundations of Deep Learning and Artificial Intelligence by Kung, Sunyuan
Misinformation Detection: A Signal Processing and Machine Learning Perspective by Boukouvalas, Zois, Casimiro Cavalcante, Charles, Corizzo, Roberto
Bayesian Nonparametric Methods for the Analysis of Ranking Data by Alvo, Mayer
Uncertainty, Optimization and Machine Learning with Applications by
Application of Machine Learning in Chemical and Process Industries by
Fundamentals for Data Science, Vol. II: Machine Learning, High-Dimensional Inference, and Modern Data Applications by
Reliable AI Agents: Engineering Predictable, Governed, and Secure Intelligence by
A Practical Guide to Artificial Intelligence in Neuroscience by Fallah, Nader
Stochastic Control: Fundamentals and Applications by Hernández‐hernández, Daniel, Sydykova Méndez, Nuria
Bayesian Regression and Causal Inference: With Examples in R by Ponnoprat, Donlapark
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability: Volume 2: Advanced Models and Applications by Balakrishnan, Narayanaswamy, Rychlik, Tomasz
Mostly Contracting Random Maps by Barrientos, Pablo G., Malicet, Dominique
Statistics of Random Processes and Optimal Control: Festschrift Albert Shiryaev - 90 Years by
Machine Learning, Dynamic Optimization, and Control: From Adjoints and Bellman Equations to Reinforcement Learning, Diffusion Models, and Neural Dynam by Bensoussan, Alain, Tran, Minh-Binh
Introduction to Deep Learning: Neural Networks, Large Language Models and Agentic AI by Skansi, Sandro, Sekrst, Kristina
Sampling Algorithms: With R by Tillé, Yves
Statistical Methods and Machine Learning for Ranking Data by Yu, Philip L. H., Alvo, Mayer
Data Engineering for Large Foundation Models: A Handbook by
Deep Reinforcement Learning for Robust Agent Systems by Liu, Guanjun, Zhou, Ziyuan, Yang, Min
Spatio-Temporal Modeling and Meta-Learning for Industrial Monitoring: From Unsupervised Anomaly Detection to Few-Shot Fault Diagnosis by Li, Kang
Database Systems for Advanced Applications. Dasfaa 2026 International Workshops: Gdma, Bdms, and Di, Jeju, South Korea, April 27, 2026, Proceedings by
Proceedings of the 8th International Conference on Machine Learning and Machine Intelligence Vol 1: Proceedings of Mlmi2025 by
Principles and Technologies of Large Models by Gong, Lina, Wei, Mingqiang
Language Models for Underserved Communities: Second Workshop, Lm4uc@aaai 2026, Held in Conjunction with AAAI 2026, Singapore, January 27, 2026, Procee by
Pattern Recognition and Machine Learning for Self-Study II: Unsupervised Learning by Ueda, Naonori, Ishii, Kenichiro
Urban Knowledge Graph: Construction, Representation and Application by Liu, Yu, Zhou, Zhilun, Li, Yong
Proceedings of the 8th International Conference on Materials and Intelligent Manufacturing: Proceedings of ICMIM 2026 by
Higher-Order Graph Analytics: Models, Algorithms and Applications by Zhang, Wenjie, Yuan, Long, Yang, Zhengyi
AI and Machine Learning for Modern Payment Risk by Liu, Simon
Reliability Analysis of High-Altitude Telecommunication Platforms: Stochastic, Risk Trees and Simulation Approaches by Vishnevsky, Vladimir M., Raj, Raina, Selvamuthu, Dharmaraja
Proceedings of the 5th International Conference on Cognitive and Intelligent Computing--Volume 2: ICCIC-2025, 12-13 Dec., Hyderabad, India by
Japanese Planning Administration by
Proceedings of the 6th International Conference on High Performance Big Data and Intelligent Systems by
Quantum Machine Learning: Theory and Practice by Fang, Yuan, Li, Lei, Guo, Guoping
Automated Spatial and Temporal Anomaly Detection: Third International Workshop, Astad@aaai 2026, Held in Conjunction with AAAI 2026, Singapore, Januar by
Quantum True Random Number Generators: Statistical Properties, Quantumness and Security Certification by Pal, Saibal Kumar, Maitra, Arpita, Kumar, Rajesh
Proceedings of the 5th International Conference on Cognitive and Intelligent Computing--Volume 1: ICCIC-2025, 12-13 Dec., Hyderabad, India by
Urban Space and Human Behavior in Shanghai: Insights from Mobile Signaling Data by Wang, De
Bridging Neurons and Symbols for Nlp and Knowledge Graph Reasoning: Third International Workshop, Neusymbridge@aaai 2026, Held in Conjunction with AAA by
Large Language Model Agents: Design, Architecture, and Practical Implementation by Zhang, Weinan, Wen, Muning, Lin, Jianghao
Modeling, Learning and Control of Complex Dynamical Systems: Toward Human-Robot Collaboration by Yuan, Chengzhi, Cheng, Hong, Zhang, Jingting
Advances in Swarm Intelligence: 17th International Conference on Swarm Intelligence, Icsi 2026, Chengdu, China, July 17-20, 2026, Proceedings by
Artificial Intelligence Computing and Systems: Second International Conference, Aicomps 2025, Fukuoka, Japan, November 26-28, 2025, Revised Selected P by
Visuo-Tactile Sensor in Robotics: Design, Perception, and Manipulation with Emphasis on the Tactedge Sensor by Fang, Bin, Zhang, Shixin, Sun, Yuhao
Intelligent Ophthalmic Imaging Technology by Liu, Jimmy, Li, Heng, Higashita, Risa
Advances in Brain Inspired Cognitive Systems: 15th International Conference, Bics 2025, Suzhou, China, November 28-30, 2025, Proceedings by
Robot Learning: From Concept to Application by Zhang, Wei
Spatial Data Mining: Theory and Application by Wang, Shuliang, Li, Deyi, Li, Deren
Transactions on Large-Scale Data- And Knowledge-Centered Systems LXII: Special Issue on Advances in Data Centric Artificial Intelligence by
Transactions on Large-Scale Data- And Knowledge-Centered Systems LX: Special Issue on Data and Information Management - Optimization, Cybersecurity an by
Transactions on Large-Scale Data- And Knowledge-Centered Systems LXI: Special Issue on Data Management - Principles, Technologies, and Applications by
Measure and Integration by Elstrodt, Jürgen
Kodierungen Analysieren Und Visualisieren: Mixed-Methods-Datenanalyse Mit Maxqda Und R by Galle, Marco, Iten, Glena
Securing the Internet of Things: Machine Learning and Beyond by
Fairness in Language Models by
Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change--Volume 1: Proceedings of Gfic-Ciki-Ickm 2025 by
Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change--Volume 4: Proceedings of Gfic-Ciki-Ickm 2025 by
Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change--Volume 3: Proceedings of Gfic-Ciki-Ickm 2025 by
Research in Computer Science: 7th Conference, Cri 2025, Yaoundé, Cameroon, December 16-17, 2025, Proceedings by
Data Scientists and AI: Human-Machine Information Developers for Decision-Making by Paczkowski, Walter R.
Models and Methods for Large-Scale Interpersonal Networks: Space and Structure by Almquist, Zack W., Butts, Carter T.
Practical AI: A Blueprint for Building Intelligent Products by Michelucci, Umberto
Cloud Engineering with AI by
Fairness in Machine Learning: From Theory to Regulation by Maxwell, Winston, Laclau, Charlotte, Gourru, Antoine
Recent Advancements in Diagnosing Seismic Precursors: Theory and Practices by
Collecting, Processing and Presenting Geoscientific Information with Python by Trauth, Martin H., Sillmann, Elisabeth
Machine Learning and Computational Studies in Cancer: An Interdisciplinary Approach by
Building Thinking Machines: Foundation of Agentic AI by Velankar, Makarand, Mahalle, Parikshit N., Rajput, Vaishali S.
Optimised: The Silent Surrender to Intelligent Machines by Fergus, Paul
Evolution of Anomaly Detection: From Data Analytics to Global Risk Governance by Maitra, Sarit
Machine Learning and Deep Learning Meet Computer Networks by Roy, Sangita, Santikellur, Pranesh, Chakraborty, Rajat Subhra
Advanced Concepts in Transformers for Deep Learning by Yadla, Prasanth
Ai-Driven Technical Textiles: Innovations and Future Prospects by
Using Python to Solve Statistical Problems: A Practical Guide to the Book "Statistics for Chemical and Process Engineers" by Shardt, Yuri A. W.
Research in Computational Topology 3 by
Advances in Public Health Statistics and Data Analytics by
From Knowledge Extraction to Technological Forecasting: New Frontiers with Artificial Intelligence by
Next-Gen Lifetime Data Analysis: Emerging Innovations and Applications by
Biodiversity Analytics: From Foundations to Applications: Tools, Methods, and Case Studies in Computational Ecology by Ghosh, Moumita, Chakraborty, Sanjay
Fenchel and Disjunctive Decomposition for Stochastic Mixed-Integer Programming by Ntaimo, Lewis
Compositional Optimization for Advanced Machine Learning by Yang, Tianbao
Optimization Models for Supply Chains: Viability, Cybersecurity, and Fairness by Sawik, Tadeusz
Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems: 8th International Workshop, Extraamas 2026, Paphos, Cyprus, May 25-26, 2026, Rev by
Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Fifth International Conference, Mmcitre 2025 by
Computational Intelligence Methods for Bioinformatics and Biostatistics: 20th International Meeting, Cibb 2025, Milan, Italy, September 10-12, 2025, R by
Contraction and Reaction in Generalized Schrödinger Bridges by Teter, Alexis M. H.
Synthetic Data and Simulation Synergy for Information Retrieval: First International Conference, Synirgy 2026, Delft, the Netherlands, April 2, 2026, by
Reinforcement Learning for the Transportation Industry: A Guide to Implementing Rl in Real-World Transportation Scenarios by
Data Fabric Technologies and Systems: Unifying Data Ecosystems, Data Science, AI and Data Agents by Karlapalem, Kamalakar, Pisipati, Radha Krishna
Elementary Probability: The Ideas Before the Theory by Baldi, Paolo
Random Point Sources: A Mathematical Theory of Point-Source Recovery by Clark, Daniel
Pan-African Conference on Artificial Intelligence: 4th Pan African Conference, Panafricon AI 2025, Addis Ababa, Ethiopia, November 20-21, 2025, Procee by Girma Debelee, Taye
ICT Innovations 2025. AI and the Digital Frontier: Reshaping Modern Society Through Technology and Computer Science: 17th International Conference, IC by
AI Agent Evaluation: Benchmarking and Testing Agent Quality for Product Leaders by Bokhari, Fawaz, Mansoor, Abdullah
Hasselmann Legacy: Stochastic Thinking in Climate Science by
Proceedings of International Joint Conference on Advances in Computational Intelligence: Ijcaci 2025, Volume 2 by
Proceedings of International Joint Conference on Advances in Computational Intelligence: Ijcaci 2025, Volume 3 by
Proceedings of International Joint Conference on Advances in Computational Intelligence: Ijcaci 2025, Volume 4 by
Unlocking Unstructured Data: Transforming Public Services with Large Language Models by
Mining Intelligence and Knowledge Exploration: 10th International Conference, Mike 2025, Chennai, India, December 9-13, 2025, Proceedings by
Analyzing Multiple Time Series: Learning and Monitoring Complex Patterns by Reis, Marco S., Kenett, Ron S., Ravishanker, Nalini
Modern Stochastic Models and Problems of Actuarial Mathematics: Mammoth'2025, Karshi City, Uzbekistan, November 11--14, 2025. by
Theory of Combinatorial Games in Graphs by Nisse, Nicolas, Martins, Nicolas, Araújo, Samuel
Regression with R and Python: Description, Prediction, and Causal Analysis in Social Science and Medicine by Johansson, Per, Sun, Jiajing
Federated Learning for Privacy-Preserving AI Systems: Theory, Applications, and Implementation by Sambasivam, Samuel
Modeling Geo-Environmental Hazards and Resilience: Geospatial and AI Coupled Approaches by
See More