• 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 2023

The Math You Need: A Comprehensive Survey of Undergraduate Mathematics by Mack, Thomas
How to Expect the Unexpected: The Science of Making Predictions--And the Art of Knowing When Not to by Yates, Kit
Shape in Medical Imaging: International Workshop, Shapemi 2023, Held in Conjunction with Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedi by
Bayes Factors for Forensic Decision Analyses with R by Bozza, Silvia, Taroni, Franco, Biedermann, Alex
Reliability Engineering by Tiniakov, Dmytro, Sun, Youchao, Li, Longbiao
STATISTIQUE DESCRIPTIVE Cours et Exercices: Le Poids des nombres, la Force des données et la Puissance de l'Information by Mbobi, Aimé, Thimothée Mauline, Peggy, Mbobi, Gaëlle
Actionable Science of Global Environment Change: From Big Data to Practical Research by
Deep Learning Networks: Design, Development and Deployment by Iyengar, S. S., Madni, Azad M., Singaram, Jayakumar
Deep Learning: Foundations and Concepts by Bishop, Hugh, Bishop, Christopher M.
Molecular Storms: The Physics of Stars, Cells and the Origin of Life by Graham, Liam
Introduction to Stochastic Processes Using R by Madhira, Sivaprasad, Deshmukh, Shailaja
Big Data Analytics in Intelligent Iot and Cyber-Physical Systems by
Intelligent Systems and Pattern Recognition: Third International Conference, Ispr 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, P by
Intelligent Systems and Pattern Recognition: Third International Conference, Ispr 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, P by
Numerical Methods for Solving Discrete Event Systems: With Applications to Queueing Systems by Grassmann, Winfried, Tavakoli, Javad
Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease by Channa, Asma, Popescu, Nirvana
Measure-Valued Processes and Stochastic Flows by Dorogovtsev, Andrey a.
Statistical Methods: Connections, Equivalencies, and Relationships by Berry, Kenneth J., Johnston, Janis E.
Defining Enterprise Data and Analytics Strategy: Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Mult by Sah, Prakash
Statistical Modeling Using Bayesian Latent Gaussian Models: With Applications in Geophysics and Environmental Sciences by
Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by
Theory and Applications of Time Series Analysis: Selected Contributions from Itise 2022 by
Infinite Dimension Analysis, Quantum Probability & Related.. by Accardi Luigi
Data Analytics: A Theoretical and Practical View from the Edison Project by Cuadrado-Gallego, Juan J., Demchenko, Yuri
DESCRIPTIVE STATISTICS Course and Exercises: The Weight of Numbers, the Strength of Data and the Power of Information by Mbobi, Aimé, Thimothée Mauline, Peggy, Mbobi, Gaëlle
DESCRIPTIVE STATISTICS Course and Exercises: The Weight of Numbers, the Strength of Data and the Power of Information by Mbobi, Gaëlle, Mbobi, Aimé, Thimothée Mauline, Peggy
STATISTIQUE DESCRIPTIVE Cours et Exercices: Le Poids des nombres, la Force des données et la Puissance de l'Information by Thimothée Mauline, Peggy, Mbobi, Gaëlle, Mbobi, Aimé
Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimiza by Hinton, Andrew
Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimiza by Hinton, Andrew
Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VI by
Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications by
Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part IV by
Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II by
Annual Report on the Big Data of New Energy Vehicle in China (2022) by Wang, Zhenpo
Responsible Data Science: Select Proceedings of Icdse 2021 by
Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology by
Interaction Models by Golder, Matt, Clark, William Roberts
Interaction Models by Golder, Matt, Clark, William Roberts
Stochastic Neutron Transport: And Non-Local Branching Markov Processes by Horton, Emma, Kyprianou, Andreas E.
The Beginner's Guide to Data Science by Ball, Robert, Rague, Brian
The Design Inference: Eliminating Chance through Small Probabilities by Dembski, William A., Ewert, Winston
The Design Inference: Eliminating Chance through Small Probabilities by Ewert, Winston, Dembski, William A.
Machine Learning Algorithms: Adversarial Robustness in Signal Processing by Li, Fuwei, Lai, Lifeng, Cui, Shuguang
Linear Models and Design by Beder, Jay H.
Stochastic Calculus Via Regularizations by Russo, Francesco, Vallois, Pierre
Forecasting and Analytics with the Augmented Dynamic Adaptive Model (Adam) by Svetunkov, Ivan
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, Chatgpt, and Other Llms by Kulkarni, Anoosh, Kulkarni, Akshay, Shivananda, Adarsha
Mathematik Verstehen Und Anwenden: Differenzialgleichungen, Fourier- Und Vektoranalysis, Laplace-Transformation Und Stochastik by Goebbels, Steffen, Ritter, Stefan
Multivariate Discrete Q-Distributions by Charalambides, Charalambos A.
Maximum Likelihood Estimation with Stata, Fifth Edition by Gould, William, Pitblado, Jeffrey, Poi, Brian
Statistical Inference Under Mixture Models by Chen, Jiahua
Introduction to Responsible AI: Implement Ethical AI Using Python by Manure, Avinash, Bengani, Shaleen, S, Saravanan
Stochastic Approximation: A Dynamical Systems Viewpoint: Second Edition by Borkar, Vivek S.
Foundations of Applied Statistical Methods by Lee, Hang
Statistik: Eine Interdisziplinäre Einführung Mit Interaktiven Elementen by Mittag, Hans-Joachim, Schüller, Katharina
Python Deep Learning - Third Edition: Understand how deep neural networks work and apply them to real-world tasks by Vasilev, Ivan
Distributed Machine Learning with Pyspark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz
Decision Intelligence: Proceedings of the International Conference on Information Technology, Incite 2023, Volume 1 by
Modern Biostatistical Methods for Evidence-Based Global Health Research by
Machine Learning for Causal Inference by
Optimization Algorithms for Distributed Machine Learning by Joshi, Gauri
Recent Advances on Sampling Methods and Educational Statistics: In Honor of S. Lynne Stokes by
New Frontiers in Bayesian Statistics: Baysm 2021, Online, September 1-3 by
Case Studies in Innovative Clinical Trials by
Data Analysis: A Gentle Introduction for Future Data Scientists by Brawn, Dan, Upton, Graham
Data Analysis: A Gentle Introduction for Future Data Scientists by Upton, Graham, Brawn, Dan
The Cramér-Lundberg Model and Its Variants: A Queueing Perspective by Mandjes, Michel, Boxma, Onno
Recent Developments in Statistics and Data Science: Spe2021, Évora, Portugal, October 13-16 by
The Theory of Statistical Implicative Analysis: Or the Implausibility of Falsehood ... When the Exception Confirms the Rule by Bodin, Antoine, Couturier, Raphaël, Gras, Régis
Emerging Topics in Modeling Interval-Censored Survival Data by
Visualization and Imputation of Missing Values: With Applications in R by Templ, Matthias
Bayesian Statistics, New Generations New Approaches: Baysm 2022, Montréal, Canada, June 22-23 by
Kafka Troubleshooting in Production: Stabilizing Kafka Clusters in the Cloud and On-Premises by Eldor, Elad
Survey Data Harmonization in the Social Sciences by Tomescu-Dubrow, Irina
Statistics Using Stata by Harel, Daphna, Weinberg, Sharon Lawner, Abramowitz, Sarah Knapp
Artificial Intelligence: Towards Sustainable Intelligence: First International Conference, Ai4s 2023, Pune, India, September 4-5, 2023, Proceedings by
Statistical Inference and Machine Learning for Big Data by Alvo, Mayer
The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence by Hatfield, Neil J., Saldanha, Luis, Chernoff, Egan J.
Visualizing Surveys in R by Valtonen, Teppo
Stochastic Geometric Analysis with Applications by Calin Ovidiu
Diskurse Der Datenökonomie: Kontroversen Und Prozesse Kollektiver Wissensproduktion by Reinecke, Pauline Charlotte Marguerite
Interdisciplinary Statistics in Mexico: AME Virtual Meeting, September 10-11, 2020, and 34 Fne, Acatlán, Mexico, September 22-24, 2021 by
Estimating Presence and Abundance of Closed Populations by Seber, George A. F., Schofield, Matthew R.
Big Qual: A Guide to Breadth-And-Depth Analysis by Davidson, Emma, Edwards, Rosalind, Weller, Susie
Data Science and Machine Learning: 21st Australasian Conference, Ausdm 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings by
Das Management-Handbuch Für Chief Data Officer: Aufbau Und Betrieb Der Daten-Supply Chain Eines Unternehmens by Treder, Martin
Machine Learning Methods by Li, Hang
Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions by Downey, Allen B.
Tales of the Tail: Legendary Cats Throughout History by Raj, Solomon
Statistics Using R by Weinberg, Sharon Lawner, Harel, Daphna, Abramowitz, Sarah Knapp
Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners by Bishop, Dorothy V. M., Thompson, Paul
Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners by Thompson, Paul, Bishop, Dorothy V. M.
An Introduction to Optimization with Applications in Machine Learning and Data Analytics by Wheeler, Jeffrey Paul
Industry 4.0: Technologies, Applications, and Challenges by
The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence by Hatfield, Neil J., Saldanha, Luis, Chernoff, Egan J.
Spatial Statistics for Data Science: Theory and Practice with R by Moraga, Paula
ChatGPT for Beginners: Features, Foundations, and Applications by Sarrion, Eric
The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python by Hu, Michael
Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data by Bernasconi, Anna
Spatio-Temporal Methods in Environmental Epidemiology with R by Schmidt, Alexandra M., Zidek, James V., Shaddick, Gavin
Statistical Modelling and Risk Analysis: Selected Contributions from Icra9, Perugia, Italy, May 25-27, 2022 by
A Course in the Large Sample Theory of Statistical Inference by Hall, W. Jackson, Oakes, David
Introductory Statistics 2e (hardcover, full color) by Illowsky, Barbara, Dean, Susan
An Advanced Course in Probability and Stochastic Processes by Botev, Zdravko, Kroese, Dirk P.
Handbook on Federated Learning: Advances, Applications and Opportunities by
Big Data: 11th Ccf Conference, Bigdata 2023, Nanjing, China, September 8-10, 2023, Proceedings by
Critical Factors for Adoption of Customer Relationship Management: A Study of Palestine SMEs by Salah, Omar Hasan, Mohamed, Hazura, Yusof, Zawiyah Mohammad
Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains by
From Possibilities to Results: Grasping Probability and Statistics by Vikram Mehta
Python Debugging for Ai, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach by Vostokov, Dmitry
Concise Guide to Quantum Machine Learning by Pastorello, Davide
Statistics for Economists by Yamane Linus
Statistics for Economists by Yamane Linus
Introduction to NFL Analytics with R by Congelio, Bradley J.
Introduction to NFL Analytics with R by Congelio, Bradley J.
Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications by Manokhin, Valery
Session-Based Recommender Systems Using Deep Learning by Ravanmehr, Reza, Mohamadrezaei, Rezvan
Business Statistics Using Excel: A Complete Course in Data Analytics by Panneerselvam, R.
Business Statistics Using Excel: A Complete Course in Data Analytics by Panneerselvam, R.
Statistik und Wahrscheinlichkeit: leicht gemacht by Grönnäs, Gustav
Statistics Using Python by Campesato, Oswald
A Pen and Paper Introduction to Statistics by Marco, Antonio
A Pen and Paper Introduction to Statistics by Marco, Antonio
Stochastische Partielle Differentialgleichungen by Tappe, Stefan
Starting Quantitative Analysis with R by Fruehwald, Josef
DNA Symmetry: A Statistical View by Bastos, Carlos A. C., Ferreira, Paulo J. S. G., Afrexio, Vera
Statistical Inference for Copula and Tail Copula Models with Applications to Finance and Insurance by Zhang, Zhengjun, Peng, Liang
Fractional Deterministic and Stochastic Calculus by Ascione, Giacomo, Mishura, Yuliya, Pirozzi, Enrica
Precision Medicine and Companion Diagnostic Devices by Li, Meijuan
Rough Sets: International Joint Conference, Ijcrs 2023, Krakow, Poland, October 5-8, 2023, Proceedings by