1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 - PDF document

Mar 14, 2023 •618 likes •908 views

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28

  1. 1

  2. • • 2

  3. 3

  4. 4

  5. 5

  6. 6

  7. 7

  8. 8

  9. • • 9

  10. 10

  11. 11

  12. 12

  13. • • • 13

  14. 14

  15. • • • 15

  16. • • • 16

  17. 17

  18. 18

  19. 19

  20. 20

  21. 21

  22. 22

  23. • • • 23

  24. 24

  25. • • 25

  26. • • 26

  27. • • 27

  28. 28

Recommend

Pain Management in Hospital Medicine Dan Burkhardt M.D. Associate Professor Department of

Pain Management in Hospital Medicine Dan Burkhardt M.D. Associate Professor Department of

10/16/2014 Pain Management in Hospital Medicine Dan Burkhardt M.D. Associate Professor Department of Anesthesia and Perioperative Care University of California San Francisco burkhard@anesthesia.ucsf.edu Disclosures I have nothing to

326 views • 22 slides
Dark Matter Interactions with Nuclei Michael Wagman P.I. Phiala Shanahan Blue Waters Symposium

Dark Matter Interactions with Nuclei Michael Wagman P.I. Phiala Shanahan Blue Waters Symposium

Dark Matter Interactions with Nuclei Michael Wagman P.I. Phiala Shanahan Blue Waters Symposium 2019 What we know e e e Gravity Electromagnetism e Weak Force Strong Force e 2 What we know 3 <latexit

433 views • 20 slides
Risers Fa3gue Analysis in Ultra-Deep Waters 1. Coupled

Risers Fa3gue Analysis in Ultra-Deep Waters 1. Coupled

Eduardo Ogasawara 1,2 , Jonas Dias 1 , Daniel de Oliveira 1 Fabio Porto 3 , Patrick Valduriez 4 , Marta MaAoso 1 1 Federal University of Rio de Janeiro,

540 views • 29 slides
Introductory Chemical Engineering Thermodynamics Chapter 9 - Introduction to Multicomponent

Introductory Chemical Engineering Thermodynamics Chapter 9 - Introduction to Multicomponent

Introductory Chemical Engineering Thermodynamics Chapter 9 - Introduction to Multicomponent Systems By J.R. Elliott and C.T. Lira INTRODUCTION TO MULTICOMPONENT SYSTEMS The primary difference between pure and multicomponent systems is that we

171 views • 14 slides
What can we learn from the history? Yugoslav tradition of comprehensive Interprofessional

What can we learn from the history? Yugoslav tradition of comprehensive Interprofessional

11.5.2014 What can we learn from the history? Yugoslav tradition of comprehensive Interprofessional collaboration in family approach since 1922 Andrija tampar (September 1, practice in Slovenia 1888 June 26, 1958) From 1931 to

232 views • 4 slides
NTCIR-7 MOAT Overview Yohei Seki, Lun-Wei Ku, David Kirk Evans, Le Sun 1 Opinion Analysis

NTCIR-7 MOAT Overview Yohei Seki, Lun-Wei Ku, David Kirk Evans, Le Sun 1 Opinion Analysis

NTCIR-7 MOAT Overview Yohei Seki, Lun-Wei Ku, David Kirk Evans, Le Sun 1 Opinion Analysis Given a sentence: Does it contain any opinions? What are the opinions Polarity? (Positive, Negative, Neutral) Who expresses the

730 views • 33 slides
The Development of Chinese Literacy Culture By Wenjia Liu, Zhifan Zhang,Yuyi Zhou Introduction

The Development of Chinese Literacy Culture By Wenjia Liu, Zhifan Zhang,Yuyi Zhou Introduction

The Development of Chinese Literacy Culture By Wenjia Liu, Zhifan Zhang,Yuyi Zhou Introduction Writing in China dates back to the hieroglyphs that were used in the Shang Dynasty of 1700 1050 BC. Chinese literature is a vast subject

679 views • 56 slides
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning Chengliang Zhang

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning Chengliang Zhang

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning Chengliang Zhang , Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu* Hong Kong University of Science and Technology University of Nevada, Reno

744 views • 26 slides
Supervised Classification with Logistic Regression CMSC 470 Marine Carpuat The Perceptron What

Supervised Classification with Logistic Regression CMSC 470 Marine Carpuat The Perceptron What

Supervised Classification with Logistic Regression CMSC 470 Marine Carpuat The Perceptron What you should know What is the underlying function used to make predictions Perceptron test algorithm Perceptron training algorithm How

376 views • 22 slides
PKU_ICST at TRECVID 2017: Instance Search Task Yuxin Peng, Xin Huang, Jinwei Qi, Junchao Zhang,

PKU_ICST at TRECVID 2017: Instance Search Task Yuxin Peng, Xin Huang, Jinwei Qi, Junchao Zhang,

TRECVID 2017 PKU_ICST at TRECVID 2017: Instance Search Task Yuxin Peng, Xin Huang, Jinwei Qi, Junchao Zhang, Junjie Zhao, Mingkuan Yuan, Yunkan Zhuo, Jingze Chi, and Yuxin Yuan Institute of Computer Science and Technology, Peking University,

652 views • 52 slides
CAPS: A Cross-genre Author Profiling System Ivan Bilan and Desislava Zhekova Center for

CAPS: A Cross-genre Author Profiling System Ivan Bilan and Desislava Zhekova Center for

CAPS: A Cross-genre Author Profiling System Ivan Bilan and Desislava Zhekova Center for Information and Language Processing, LMU Munich, Germany ivan.bilan@gmx.de zhekova@cis.uni-muenchen.de CAPS: A Cross-genre Author Profiling System

370 views • 19 slides
1 Z-Score Test for Comparing One-sided vs Two-sided Tests Learned Hypotheses Assumes h 1 is

1 Z-Score Test for Comparing One-sided vs Two-sided Tests Learned Hypotheses Assumes h 1 is

Evaluating Inductive Hypotheses Accuracy of hypotheses on training data is obviously biased since the hypothesis was CS 391L: Machine Learning: constructed to fit this data. Experimental Evaluation Accuracy must be evaluated on an

357 views • 4 slides
L ECTURE 9: E VALUATION Prof. Julia Hockenmaier juliahmr@illinois.edu Admin Homework 1 is being

L ECTURE 9: E VALUATION Prof. Julia Hockenmaier juliahmr@illinois.edu Admin Homework 1 is being

CS446 Introduction to Machine Learning (Fall 2015) University of Illinois at Urbana-Champaign http://courses.engr.illinois.edu/cs446 L ECTURE 9: E VALUATION Prof. Julia Hockenmaier juliahmr@illinois.edu Admin Homework 1 is being graded.

660 views • 34 slides
Training, test and validation splits Dmitriy (Dima) Gorenshteyn Lead Data Scientist, Memorial

Training, test and validation splits Dmitriy (Dima) Gorenshteyn Lead Data Scientist, Memorial

DataCamp Machine Learning in the Tidyverse MACHINE LEARNING IN THE TIDYVERSE Training, test and validation splits Dmitriy (Dima) Gorenshteyn Lead Data Scientist, Memorial Sloan Kettering Cancer Center DataCamp Machine Learning in the

872 views • 53 slides
ECE 4524 Artificial Intelligence and Engineering Applications Lecture 23: Learning Theory

ECE 4524 Artificial Intelligence and Engineering Applications Lecture 23: Learning Theory

ECE 4524 Artificial Intelligence and Engineering Applications Lecture 23: Learning Theory Reading: AIAMA 18.4-18.5 Todays Schedule: Evaluating Hypotheses/Models PAC Learning and Sample Complexity Assumptions about Training and

566 views • 12 slides
Laboratory of Machine Learning with Python Numpy / Matplotlib / Scikit-learn Luca Erculiani

Laboratory of Machine Learning with Python Numpy / Matplotlib / Scikit-learn Luca Erculiani

Laboratory of Machine Learning with Python Numpy / Matplotlib / Scikit-learn Luca Erculiani University of Trento Setup (on lab machines) Download and extract the Scikit-learn lecture material from:

291 views • 10 slides
Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture Xiaochuan

Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture Xiaochuan

Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture Xiaochuan Zhang zhangxiaochuan@outlook.com Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China

635 views • 20 slides
Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 5 of Data Mining by

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 5 of Data Mining by

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 5 of Data Mining by I. H. Witten, E. Frank and M. A. Hall Credibility: Evaluating whats been learned Issues: training, testing, tuning Predicting

1.06k views • 68 slides
The Walking School Bus: Combining Safety, Fun, and the Walk to School Wha hat t is is a W a

The Walking School Bus: Combining Safety, Fun, and the Walk to School Wha hat t is is a W a

Walking School Bus VolunteerTraining Special Thanks to: The Walking School Bus: Combining Safety, Fun, and the Walk to School Wha hat t is is a W a Wal alki king ng Scho hool ol Bus us? a group of children walking to school with one

761 views • 18 slides
Machine Learning Lecture 7 Some feature engineering and Cross validation Justin Pearson 1 2020 1

Machine Learning Lecture 7 Some feature engineering and Cross validation Justin Pearson 1 2020 1

Machine Learning Lecture 7 Some feature engineering and Cross validation Justin Pearson 1 2020 1 http://user.it.uu.se/~justin/Teaching/MachineLearning/index.html 1 / 35 Over Fitting vs Bias 4.0 3.8 3.6 3.4 3.2 3.0 0.00 0.25 0.50 0.75

720 views • 35 slides
Overview of Cross-cutting Requirements Part 2: Uniform Relocation Act (URA) and Labor Standards

Overview of Cross-cutting Requirements Part 2: Uniform Relocation Act (URA) and Labor Standards

Overview of Cross-cutting Requirements Part 2: Uniform Relocation Act (URA) and Labor Standards 2019 CDBG-DR Problem Solving Clinic Kansas City Overland Park | J u l y 3 0 A u g u s t 1 , 2 0 1 9 2019 CDBG-DR PROBLEM SOLVING CLINIC

820 views • 42 slides
Traits and Generics Ryan Eberhardt and Armin Namavari April 21, 2020 The Plan for Today Introduce

Traits and Generics Ryan Eberhardt and Armin Namavari April 21, 2020 The Plan for Today Introduce

Traits and Generics Ryan Eberhardt and Armin Namavari April 21, 2020 The Plan for Today Introduce traits Introduce generics See examples in real world systems! (if time permits) Next time: wrap up traits/generics + discuss smart

632 views • 14 slides
Comments on Personality Psychology and Economics by Almund, Duckworth, Heckman and Kautz Steven

Comments on Personality Psychology and Economics by Almund, Duckworth, Heckman and Kautz Steven

Comments on Personality Psychology and Economics by Almund, Duckworth, Heckman and Kautz Steven N. Durlauf 12/10/10 This is a wonderful overview, sure to be standard citation in economics. What I want to do in these comments is indicate some

703 views • 45 slides
Build Server Build Server Protocol and new Protocol and new IDEAs IDEAs 1 Justin Justin

Build Server Build Server Protocol and new Protocol and new IDEAs IDEAs 1 Justin Justin

Build Server Build Server Protocol and new Protocol and new IDEAs IDEAs 1 Justin Justin @ebenwert @ebenwert Build tools engineer at Jetbrains I work on the IntelliJ sbt integration I believe in tools before rules Obsession : build tools

672 views • 39 slides

More recommend