Springer Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Springer - Applications of Machine Learning Book

Springer

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Machine Learning Applications in Medicine and Biology

Springer

Machine Learning for Advanced Functional Materials

Springer

Machine Learning in Biological Sciences: Updates and Future Prospects

Springer

Applied Machine Learning for Assisted Living

Springer

Math for Data Science

Springer

Springer - Trustworthy Machine Learning under Imperfect Data

Springer

Data Driven Model Learning for Engineers: With Applications to Univariate Time Series

Springer

Springer - Machine Learning and Metaheuristics Book

Springer

Mathematical Introduction to Data Science

Springer

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

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Machine Learning for Real World Applications (Transactions on Computer Systems and Networks)

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Springer Practicable Learning Analytics Book - Education

Springer

Multi-faceted Deep Learning: Models and Data

Springer

Machine Learning and Data Science: Fundamentals and Applications

John Wiley & Sons Inc

Machine Learning Applications in Electronic Design Automation

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Alternating Direction Method of Multipliers for Machine Learning

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Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

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Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

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Springer - Federated Learning: Fundamentals and Advances Book

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Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Mathematical Problems in Data Science: Theoretical and Practical Methods

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Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

Springer