Probability & Statistics in 2023
How to Expect the Unexpected: The Science of Making Predictions--And the Art of Knowing When Not to
by
Yates, Kit
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
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Mbobi, Aimé, Thimothée Mauline, Peggy, Mbobi, Gaëlle
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.
Introduction to Stochastic Processes Using R
by
Madhira, Sivaprasad, Deshmukh, Shailaja
Numerical Methods for Solving Discrete Event Systems: With Applications to Queueing Systems
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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.
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
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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
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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
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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
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Hinton, Andrew
Interaction Models
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Golder, Matt, Clark, William Roberts
Interaction Models
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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
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Ewert, Winston, Dembski, William A.
Machine Learning Algorithms: Adversarial Robustness in Signal Processing
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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
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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
Optimization Algorithms for Distributed Machine Learning
by
Joshi, Gauri
Data Analysis: A Gentle Introduction for Future Data Scientists
by
Brawn, Dan, Upton, Graham
Data Analysis: A Gentle Introduction for Future Data Scientists
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Upton, Graham, Brawn, Dan
The Cramér-Lundberg Model and Its Variants: A Queueing Perspective
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Mandjes, Michel, Boxma, Onno
The Theory of Statistical Implicative Analysis: Or the Implausibility of Falsehood ... When the Exception Confirms the Rule
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Bodin, Antoine, Couturier, Raphaël, Gras, Régis
Visualization and Imputation of Missing Values: With Applications in R
by
Templ, Matthias
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
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Harel, Daphna, Weinberg, Sharon Lawner, Abramowitz, Sarah Knapp
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
Estimating Presence and Abundance of Closed Populations
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Seber, George A. F., Schofield, Matthew R.
Big Qual: A Guide to Breadth-And-Depth Analysis
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Davidson, Emma, Edwards, Rosalind, Weller, Susie
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
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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
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
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.
Critical Factors for Adoption of Customer Relationship Management: A Study of Palestine SMEs
by
Salah, Omar Hasan, Mohamed, Hazura, Yusof, Zawiyah Mohammad
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
