Machine Learning For Biologists – alle Bücher

Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 15540

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 16424

This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2--4, 2025.The 14 full papers presen…

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John Paul Mueller, Luca Massaron
Machine Learning For Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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Machine Learning for Biomedical Engineers

This book combines machine learning (ML) and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, cus…

lieferbar ab 31.8.2026.

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Yan Jin
Machine Learning for Engineering Applications

The book begins by presenting the necessary mathematical foundations in an accessible, engineering-centered way and then builds up machine learning (ML) concepts step by step, always linking them to engin…

lieferbar ab 2.9.2026.

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Oscar Mauricio Caicedo Rendon
Machine Learning for Network Management

Textbooks in Telecommunication Engineering

This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases …

lieferbar ab 14.10.2026.

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Machine Learning for Astrophysics 2024

This proceedings book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed …

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Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan
Machine Learning for Wireless Communication

Synthesis Lectures on Communications

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement le…

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Machine Learning for Cyber Security

Lecture Notes in Computer Science - Band 16456

This book constitutes the proceedings of the 7th International Conference on Machine Learning for Cyber Security, ML4CS 2025, which taking place during December 12-14, 2025 held in Hangzhou, China.The 18 …

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Marcos M. Lopez de Prado
Machine Learning for Asset Managers

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should conce…

lieferbar in mind. 4 Wochen

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Jen-Tsung Chen
Machine Learning for Plant Biology

A comprehensive and current summary of machine learning-based strategies for constructing digital plant biologyMachine Learning for Plant Biology provides a comprehensive summary of the latest development…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Mashallah Rezakazemi, Kiran Mustafa, Rao Muhammad Mahtab Mahboob
Machine Learning for Membrane Separation Applications

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As…

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Machine Learning for Data-Centric Geotechnics

Challenges in Geotechnical and Rock Engineering

Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive t…

lieferbar ab 25.8.2026.

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Machine Learning for Sustainable Energy Solutions

Comprehensive insights into integrating modern engineering techniques with machine learning and renewable energy to create a more sustainable worldThrough an interdisciplinary approach, Machine Learning f…

lieferbar in mind. 4 Wochen

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Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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Anand Rangarajan, Jaemoon Lee, Liangji Zhu, Qian Gong
Machine Learning Methods for Scientific Data Compression

This groundbreaking book, Machine Learning Methods for Scientific Data Compression , delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. As sci…

lieferbar ab 27.11.2026.

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IoT and Machine Learning for Smart Applications

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine lea…

lieferbar in mind. 4 Wochen

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