'Exploratory data' presentation slideshows

Understanding and Comparing Remote Sensing Data to Model Output

Understanding and Comparing Remote Sensing Data to Model Output. Chris A. Mattmann Senior Computer Scientist, NASA Jet Propulsion Laboratory Adjunct Assistant Professor, Univ. of Southern California Member, Apache Software Foundation. Roadmap. Motivation Background Earth System Grid, NASA

836 views • 73 slides

MD 5108 Biostatistics for Basic Research

MD 5108 Biostatistics for Basic Research. Lecturer: Dr K. Mukherjee Office: S16-06-100 Tel: 874 2764 Email: stamk@nus.edu.sg. Objectives To train practitioners of the biomedical sciences in the use and interpretation of statistical data analysis.

944 views • 61 slides

STAT131 Week7 L1a Exponential Distribution

STAT131 Week7 L1a Exponential Distribution. Anne Porter alp@uow.edu.au. Lecture Outline. Review Poisson Introduction to the Exponential Context/assumptions Probability Centre Spread Calibration of the model Goodness of fit. Poisson. Video Clip : Blowhole.

659 views • 43 slides

Exploratory Data Analysis

Explore in detail about Exploratory Data Analysis. Checkout: http://bit.ly/2Pfinm3 Any Queries, Call us@ 91 9884412301 / 9600112302 #DataScience #DataMining #Training #MachineLearning #AI #DeepLearning #CredoSystemz #Chennai #Python #hadoop #traininginstitute #datasciencetraining

463 views • 39 slides

Introduction to Biostatistics

837 views • 35 slides

Stat 226

Stat 226. Note Set 1 James D. Abbey. Statistics?. The age old question of all courses: What is ______? For our purposes, we need to know what statistics does for us. Perhaps we will have an answer by the end of the course!

557 views • 33 slides

What is Statistics?

What is Statistics? Definition of Statistics Statistics is the science of collecting, organizing, analyzing, and interpreting data in order to make a decision. Branches of Statistics

2.17k views • 30 slides

E.D.A.

523 views • 30 slides

What is Statistics?

What is Statistics?. Definition of Statistics Statistics is the science of collecting, organizing, analyzing, and interpreting data in order to make a decision. Branches of Statistics

5.46k views • 30 slides

CS 479, section 1: Natural Language Processing

This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . CS 479, section 1: Natural Language Processing. Lecture # 32: Text Clustering with Expectation Maximization. Thanks to Dan Klein of UC Berkeley for some of the materials used in this lecture. .

408 views • 30 slides

Data Scientist Roles and Responsibilities | Data Scientist Career | Data Science Training | Edureka

** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka "Data Scientist Roles and Responsibilities" PPT talks about the various Job Descriptions and specific skill sets for the different kinds of Data Scientists that are there. It explains why Data Science is the best career move, right now. Learn about various job roles and what they actually mean and the learning path to make a career in Data Science. Below are the topics covered in this module: What is Data Science? Who is a Data Scientist? Types of Data Scientists Skills Required to Become a Data Scientist Data Science Masters Program @Edureka Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist Instagram: https://www.instagram.com/edureka_lea... Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

2.2k views • 28 slides

Data Scientist Roles and Responsibilities | Data Scientist Career | Data Science Training | Edureka

** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka "Data Scientist Roles and Responsibilities" PPT talks about the various Job Descriptions and specific skill sets for the different kinds of Data Scientists that are there. It explains why Data Science is the best career move, right now. Learn about various job roles and what they actually mean and the learning path to make a career in Data Science. Below are the topics covered in this module: What is Data Science? Who is a Data Scientist? Types of Data Scientists Skills Required to Become a Data Scientist Data Science Masters Program @Edureka Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist Instagram: https://www.instagram.com/edureka_lea... Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

363 views • 28 slides

Using Growth Models to improve quality of school accountability systems

Using Growth Models to improve quality of school accountability systems. October 22, 2010. State Agency should state reasons for incorporating growth into the accountability system.

361 views • 25 slides

Guess the Distance

Guess the Distance. By Amanda Cunha and Ashley Kershaw. Description of topic. Depth perception- the ability to judge how far away an object is as well as how far away objects are from each other With glasses depth perception can be impaired

357 views • 21 slides

Clustering

Clustering. Jarno Tuimala. Clustering. Aim Grouping objects (genes or chips) into clusters so that the objects inside one cluster are more closely related to each other than to objects in other clusters Exploratory data analysis View all data simultaneously

301 views • 17 slides

Statistical Marketing Analytics with Big Data

442 views • 17 slides

Stat E-150 Statistical Methods

337 views • 16 slides

134 views • 13 slides

Statistics 501 Methods of Applies Statistics Using MINITAB

358 views • 12 slides

You will get idea about the present fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. The goal of this course is to equip you with biostatistics and quantitative scientists with core applied statistical concepts. See More: https://bit.ly/30dYVbQ

97 views • 9 slides