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176. Optimization Techniques and Applications
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177. Trends in Sustainable Computing and Machine Intelligence
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178. Advances in Artificial Intelligence and Machine Learning in Big Data Processing: Second International Conference, AAIMB 2024, Chennai, India, December 12-13, 2024, Proceedings, Part I
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179. New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance
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180. A Guide to Implementing Mlops: From Data to Operations (Synthesis Lectures on Engineering, Science, and Technology)
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181. Bayesian Statistical Methods: With Applications to Machine Learning
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182. Integrating Meta-Heuristics and Machine Learning F
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183. Recent Trends in Modelling the Continuous Time Series Using Deep Learning
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184. Artificial Intelligence in Education Technologies: New Development and Innovative Practices
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185. Integrating Meta-Heuristics and Machine Learning F
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186. Graduate Students in Data Science Consulting
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187. Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0
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188. Variable Gain Design in Stochastic Iterative Learning Control
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189. Machine Learning With Julia: an Algorithmic Exploration (Machine Learning: Foundations, Methodologies, and Applications)
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190. Machine Learning With Julia: an Algorithmic Exploration (Machine Learning: Foundations, Methodologies, and Applications)
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191. Cross-Device Federated Recommendation
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192. New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance
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193. Bayesian Statistical Methods
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194. Bayesian Statistical Methods: With Applications to Machine Learning
by Reich, Brian J, and Ghosh, Sujit K
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195. An Introduction to Materials Informatics: the Elements of Machine Learning
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196. Bayesian Statistical Methods: With Applications to Machine Learning
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197. Handbook of Markov Chain Monte Carlo
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198. Cybernetics, Human Cognition, and Machine Learning in Communicative Applications
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