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Computer Science 572 Exam(1) Monday, March 2, 2020, 8:00am – 8:50am Name: Student Id Number: 1. This is a closed book exam. Copyright By PowCoder代写 加微信 powcoder 2. Please answer all questions. 3. There are a total of 25 questions. Each question is worth 4 points. 4. Place your answer immediately below the question. Limit
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Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, , , , , Cauley, . Franklin, , Ion Stoica University of California, Berkeley We present Resilient Distributed Datasets (RDDs), a dis- tributed memory abstraction that lets programmers per- form in-memory computations on large clusters in a fault-tolerant manner. RDDs are motivated by
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ECE 219 Large-Scale Data Mining: Models and Algorithms Project 1: End-to-End Pipeline to Classify News Articles Statistical classification broadly refers to the task of learning to identify a subset of categories that pertain to a data point (sample of text, an image, a video clip, a time-signal etc..) from a predefined (generally human-guided) larger set
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COSC1125/1127: Artificial Intelligence Week 9: Reinforcement Learning Instructor: Prof. RMIT University, Melbourne, Australia [These slides were created by and for CS188 Intro to AI at UC Berkeley. All CS188 materials are available at http://ai.berkeley.edu.] Please retain proper attribution, including the reference to ai.berkeley.edu. Thanks! ‹#› Week 9: From MDP to Reinforcement Learning Some news… Take
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