This document outlines a mathematics lesson on interpreting and computing division of fractions. The lesson includes examples and exercises for students to practice dividing fractions with unlike denominators. Students are asked to use visual models like fraction bars and area models to represent the division problems. The lesson aims to help students make connections between visual models and the multiplication of fractions when dividing fractions with different denominators. Students work through sample problems step-by-step and are given exit tickets to demonstrate their understanding of dividing fractions visually and numerically.
Amirkabir University of Technology
Advanced Database Course
Conference Presentation
Review on Data Mining and its techniques.
Supervisor: Dr. Bagheri
November 2016
In English Presented in Persian
دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
دانشکده مهندسی کامپیوتر و فناوری اطلاعات
ارائه کنفرانس درس پایگاه داده پیشرفته
داده کاوی و تکنیک های آن
استاد: دکتر علیرضا باقری
آذرماه 1395
What is an "ensemble learner"? How can we combine different base learners into an ensemble in order to improve the overall classification performance? In this lecture, we are providing some answers to these questions.
This presentation is about Multiple Classifier System (Ensemble of Classifiers). At first tell about the general idea of decision making, then address reasons and rationales of using Multiple Classifier System, after that concentrate on designing Multiple Classifier System: 1.Create an Ensemble 2.Combining Classifiers.
Lecture 02: Machine Learning for Language Technology - Decision Trees and Nea...Marina Santini
In this lecture, we talk about two different discriminative machine learning methods: decision trees and k-nearest neighbors. Decision trees are hierarchical structures.k-nearest neighbors are based on two principles: recollection and resemblance.
Amirkabir University of Technology
Advanced Database Course
Conference Presentation
Review on Data Mining and its techniques.
Supervisor: Dr. Bagheri
November 2016
In English Presented in Persian
دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
دانشکده مهندسی کامپیوتر و فناوری اطلاعات
ارائه کنفرانس درس پایگاه داده پیشرفته
داده کاوی و تکنیک های آن
استاد: دکتر علیرضا باقری
آذرماه 1395
What is an "ensemble learner"? How can we combine different base learners into an ensemble in order to improve the overall classification performance? In this lecture, we are providing some answers to these questions.
This presentation is about Multiple Classifier System (Ensemble of Classifiers). At first tell about the general idea of decision making, then address reasons and rationales of using Multiple Classifier System, after that concentrate on designing Multiple Classifier System: 1.Create an Ensemble 2.Combining Classifiers.
Lecture 02: Machine Learning for Language Technology - Decision Trees and Nea...Marina Santini
In this lecture, we talk about two different discriminative machine learning methods: decision trees and k-nearest neighbors. Decision trees are hierarchical structures.k-nearest neighbors are based on two principles: recollection and resemblance.