Lecture 1: Overview
(SDU) Overview September 6, 2023 4 / 57 Suggested Readings Hang Li, Statistical Machine Learning (2nd Ed.), The Tsinghua Press, 2019 Zhihua Zhou, Machine Learning, Tsinghua Press, 2016 Tom M. Mitchell 2016 Trevor Hastie, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Ed.), World Publishing Corporation, 2015 Christopher M. Bishop, Pattern Recognition and Machine Learning0 码力 | 57 页 | 2.41 MB | 1 年前3IstioCon 2021 Partner Packages
the winners are mentioned, the sponsor will provide the rewards. 1st place: Bose headset $400 usd 2nd place: Google Nest hub 10" $230 usd 3rd place: Google Nest hub 7" $70 usd Trivia winners gifts Available0 码力 | 23 页 | 3.18 MB | 1 年前3Experiment 2: Logistic Regression and Newton's Method
condition pos = find (y == 1 ) ; neg = find ( y == 0 ) ; % Assume the f e a t u r e s are in the 2nd and 3rd % columns of x plot ( x ( pos , 2) , x ( pos , 3 ) , ’+’ ) ; hold on plot ( x ( neg , 2)0 码力 | 4 页 | 196.41 KB | 1 年前3金融级云原生 PaaS 探索与实践
Replica/Partition Allocator Pod A-1 Pod A-2 Pod A-3 Pod A-4 Pod A-5 Beta Group 1st Group 2nd Group InPlaceSet A CafeDeployment partition:1 …… Pod Upgrade 机房A – 单元A • 精准分组,自定义拓扑 • IP不变,无损升级0 码力 | 20 页 | 1.71 MB | 5 月前3Kubernetes + OAM 让开发者更简单
alibaba- inc.com/v1 kind: APIGateway spec: hostname: app.alibaba.com path: / service_port: 8001 # 2nd component - componentName: redis Open Application Model Platform 部署 应用配置 (Application Configuration)0 码力 | 22 页 | 10.58 MB | 1 年前3Machine Learning Pytorch Tutorial
function, file IO, class, ... ■ refs: link1, link2, link3 2. Deep Learning Basics ■ Prof. Lee’s 1st & 2nd lecture videos from last year ■ ref: link1, link2 Some knowledge of NumPy will also be useful! What0 码力 | 48 页 | 584.86 KB | 1 年前3腾讯基于 Kubernetes 的企业级容器云实践-罗韩梅
每层分别做种 • 优化blob下载策略 发表论文:《FID: A Faster Image Distribution System for Docker Platform》 2017 IEEE 2nd International Workshops on FASW 安全 能力扩展:弹性伸缩 Pod Pod Pod 微服务/通用服 务 Autoscaler controller prometheus0 码力 | 28 页 | 3.92 MB | 1 年前3机器学习课程-温州大学-04机器学习-朴素贝叶斯
Scaling up the accuracy of naïve Bayes classifiers: A decision-tree hybrid[C]// Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD), Portland, OR, 202-207, 19960 码力 | 31 页 | 1.13 MB | 1 年前3机器学习课程-温州大学-05机器学习-机器学习实践
Scaling up the accuracy of naïve Bayes classifiers: A decision-tree hybrid[C]// Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD), Portland, OR, 202-207, 19960 码力 | 33 页 | 2.14 MB | 1 年前3《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniques
float32) vector.set_shape((None, MAX_SEQ_LEN, WORD2VEC_LEN)) return vector, label Notice that in the 2nd for loop above, we limit the representation to the first MAX_SEQ_LEN words in the sequence. We are0 码力 | 56 页 | 18.93 MB | 1 年前3
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