Title: Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data, Author: Victor Lee Ph. D
Title: Data Science and Analytics Strategy: An Emergent Design Approach, Author: Kailash Awati
Title: Machine Learning and Deep Learning in Neuroimaging Data Analysis, Author: Anitha S. Pillai
Title: Equipment Intelligent Operation and Maintenance: Proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023), Hefei, China, 21st - 23rd September, 2023 (Volume I), Author: Ruqiang Yan
Title: TensorFlow Developer Certification Guide, Author: Patrick J
Title: Machine Learning. Supervised Learning Techniques and Tools: Nonlinear Models Exercises with R, SAS, Stata, Eviews and SPSS, Author: César Pérez López
Title: Big Data, Data Mining and Data Science: Algorithms, Infrastructures, Management and Security, Author: George Dimitoglou
Title: Causal Inference in Python: Applying Causal Inference in the Tech Industry, Author: Matheus Facure
Title: Outlier Detection in Python, Author: Brett Kennedy
Title: Build a Machine Learning Platform (From Scratch), Author: Benjamin Tan Wei Hao Pre-Order Now
Title: DEEP LEARNING IN BIOLOGY AND MEDICINE, Author: Davide Bacciu
Title: Neural Network Programming: How To Create Modern AI Systems With Python, Tensorflow, And Keras, Author: Rob Botwright
Title: Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R, Author: Yigit Aydede
Title: Revolutionizing Communication: The Role of Artificial Intelligence, Author: Raquel V. Benítez Rojas
Title: Recent Trends in Computational Intelligence and Its Application: Proceedings of the 1st International Conference on Recent Trends in Information Technology and its Application (ICRTITA, 22), Author: Sugumaran D
Title: Machine Learning Methods for Engineering Application Development, Author: Prasad Lokulwar
Title: Advanced Techniques for Anomaly Detection: Beyond the Basics, Author: Abdul Wahid
Title: Graph Algorithms for Data Science: With examples in Neo4j, Author: Tomaz Bratanic
Title: Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps (English Edition), Author: Saurabh D. Dorle
Title: Fairness and Machine Learning: Limitations and Opportunities, Author: Solon Barocas

Pagination Links