Probability & Statistics in 2027
Kodierungen Analysieren Und Visualisieren: Mixed-Methods-Datenanalyse Mit Maxqda Und R
by
Iten, Glena, Galle, Marco
Elementary Probability: The Ideas Before the Theory
by
Baldi, Paolo
Field Theory for Point Processes: Random Measures, Empirical Fields, and Variational Structure
by
Clark, Daniel
Regression with R and Python: Description, Prediction, and Causal Analysis in Social Science and Medicine
by
Sun, Jiajing, Johansson, Per
Stochastic Control: Fundamentals and Applications
by
Sydykova Méndez, Nuria, Hernández‐hernández, Daniel
Using Python to Solve Statistical Problems: A Practical Guide to the Book "Statistics for Chemical and Process Engineers"
by
Shardt, Yuri A. W.
Reinforcement Learning for Engineering
by
Gajic, Zoran, Xu, Lingyi
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability: Volume 2: Advanced Models and Applications
by
Balakrishnan, Narayanaswamy, Rychlik, Tomasz
The Complete Guide to Statistical Theory, Simulation and Probability: A Bridge to the Future Volume 1
by
Dasgupta, Anirban
Linked Data: Eine Einführung in Theorie Und PRAXIS
by
Schenker, Rolf
High-Dimensional Imaging Data Analysis: From Classical Pca to Tensor Robust Pca with Ai/ML, Vol. 1
by
Likassa, Habte Tadesse, Chen, Ding-Geng
Statistical Concepts - A First Course
by
Lomax, Richard G., Hahs-Vaughn, Debbie L.
Statistical Concepts - A First Course
by
Hahs-Vaughn, Debbie L., Lomax, Richard G.
Vom Excel-Nutzer Zum Data Scientist: Python, Machine Learning & Production - Der Vollständige Lernpfad
by
Mechler, Merlin
Analysing Experiments with Mixed-Effects Models
by
Forkman, Johannes
Intelligente Lernende Systeme: Eine Fundierte Einführung in Theorie Und PRAXIS Der Künstlichen Intelligenz Und Des Maschinellen Lernens
by
Knoblauch, Andreas
Stochastik: Mit Zahlreichen Beispielen Und Übungsaufgaben
by
Wiebe, Hartmut, Becker, Claas, Storch, Uwe
Search Trajectory Networks: Analyzing Stochastic Optimization Algorithms Graphically
by
Ochoa, Gabriela, Blum, Christian, Chacón Sartori, Camilo
Get Things Done with AI: A Practitioner's Guide to Ai-Native Knowledge Work
by
Agrawal, Ravish
Parameter Estimation in Gaussian Models and Nonlinear Diffusions: Selected Fractional, Tempered, and Mean-Reverting Models
by
Yakovliev, Mykyta, Mishura, Yuliya, Ralchenko, Kostiantyn
Agentic Large Language Models
by
Plaat, Aske, Van Duijn, Max, Van Der Meer, Michiel
Research Methodology Essentials for Computer Science Students
by
Haindl, Philipp, Eigner, Oliver
Research Methodology Essentials for Computer Science Students
by
Haindl, Philipp, Eigner, Oliver
Gamma-Order Shape Generalized Continuous Distributions
by
Stamatiou, Ioannis S., Kitsos, Christos P.
Data Science Under Uncertainty: Inference, Prediction, and Decision-Making with Python
by
Unpingco, José
Probability Distributions Vol. 1: A Comprehensive Approach
by
Dhanavanthan, P., Sakthivel, K. M.
Discrete Mathematics: Theory and Techniques for Solving Counting and Existence Problems
by
Triesch, Eberhard
Inference and Collective Steering for Stochastic and Deterministic Systems: New Directions in Schrödinger Bridges and Optimal Transport
by
Eldesoukey, Asmaa
Probability Distributions Vol. 2: A Comprehensive Approach
by
Dhanavanthan, P., Sakthivel, K. M.
Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences
by
Van Oijen, Marcel, Brewer, Mark
Engineering AI Knowledge Systems: Designing Enterprise Retrieval, Search, and Intelligent Assistants at Scale
by
Rodriguez, Ivan
Hands-On Intelligent Iot with the Application of Machine Learning
by
Mukhopadhyay, Subhas
Time Series Anomaly Detection: Foundations and Practices
by
Palpanas, Themis, Boniol, Paul, Paparrizos, John
Architecting Secure Ai-Native and ML Cloud Systems on Azure: Design Patterns for Building Intelligent, Trusted, and Scalable Platforms
by
Singh, Harvendra, Prasad, Amit
Patterns in Ai-Augmented Software Development: Designing Reliable Software with Prompts, Context, Memory, and Agent Workflows
by
Lee, Graham
Azure AI and Machine Learning in the Agentic Era: A Practitioner's Guide to Building Production Systems
by
Sengar, Urvi
Mathematics of Machine Learning: A Handbook
by
Lei, Ming
Mathematical Theory of Deep Learning
by
Zech, Jakob, Petersen, Philipp
A Practical Guide to Productizing AI and Unlocking Growth: Frameworks, Architectures, and Strategies for Monetizing AI at Scale
by
Krishnamoorthy, Durga, Para, Raghu
The Predictability Loop: A Control Layer for Enterprise Software Delivery in the Age of AI
by
Lobus, Roman
Generative Bayesian Computation: Quantile Neural Networks for Inference and Surrogates
by
Polson, Nicholas G., Sokolov, Vadim
Generative Bayesian Computation: Quantile Neural Networks for Inference and Surrogates
by
Sokolov, Vadim, Polson, Nicholas G.
Thinking Data Science: A Data Science Practitioner's Guide
by
Sarang, Poornachandra
Bayes, Ai, and Deep Learning: Foundations of Data Science
by
Polson, Nick, Sokolov, Vadim
Bayes, Ai, and Deep Learning: Foundations of Data Science
by
Polson, Nick, Sokolov, Vadim
Data Science Quick Start: An Introductory Crash Course for Technical Professionals
by
Pulipaka, Srikar Kashyap, Kasaraneni, Chaitanya Krishna, Thalapaneni, Sarmista
Natural Language Processing: Neural Networks and Large Language Models
by
Xiao, Tong, Zhu, Jingbo
AI Agents in Business: Mastering Langchain and Autogen
by
Jain, Ankit, Kadre, Shailendra, Kumar, Nishant
Introduction to Statistical Machine Learning
by
Sugiyama, Masashi, Ishida, Takashi
Agentic AI for Enterprise Roi: From Systems to Outcomes
by
Jeyaraman, Brindha Priyadarshini
Small Language Models for Efficient AI: A Practical Guide to Deciding, Designing, Developing, and Deploying Slm Systems
by
Bhattacharjee, Santanu
Data Analysis in Power Bi: Going Deep Into Data Using Visualization
by
Robinson, Scott
The Probable Error of a Mean
by
Student (William Sealy Gosset)
Design and Analysis of Accelerated Life Tests
by
Pan, Rong
Analysis of Longitudinal Studies in Epidemiology
by
Jewell, Nicholas P., Hubbard, Alan
Statistics for Biological Networks: How to Infer Networks from Data
by
Purutcuoglu, Vilda, Wit, Ernst, Vinciotti, Veronica
Evolutionary Factor Analysis
by
Motta, Giovanni
An Introduction to Information Theory and Probabilistic Inference
by
Cheng, Samuel
An Introduction to Information Theory and Probabilistic Inference
by
Cheng, Samuel
Advanced Variance Reduction Techniques for MCMC
by
Samsonov, Sergey, Belomestny, Denis
Statistical Foundations for Biomarker Research
by
Landsittel, Douglas
Estimation of Mutual Information
by
Suzuki, Joe
Systems Analysis of Livestock Production
by
Pittroff, Wolfgang
