Homework 5 Due date: 2/10/2021 right before class Problem 1 Consider a blob of text in need of formatting. Suppose our text consists of a sequence of words, W = w1, w2, …, wn, where wi consists of ci characters. We have a maximum line length of L . A formatting of W consists of […]
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List 1 List 2 Copyright By PowCoder代写 加微信 powcoder Recursive Applications The University of 1 Recursive Solution – Recursivesolution–conditionalsandfunctioncallstoitself. – Towriterecursivesolution: – Decomposetheproblemintosimplersolutionofitsownself. • Identify the base case and recurrence relation. – Checkwhetherthebasecasecanbereached. – Ifithasn’tbeenreached,callthesamefunctionwithdifferent arguments. – Thealternativetoarecursivesolutionisaniterativesolution: – Iterativesolution–whileorforloops – Ourexamples–iterativeBlastoff! The University of 2 Recursive Applications – Factorial – Fibonacci – Binomialcoefficients –
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Machine Learning for Financial Data December 2020 FEATURE ENGINEERING (CONCEPTS – PART 3) Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Feature Engineering Contents ◦ Feature Selection ◦ Filter-based Feature Selection ◦ Feature Selection using Pearson’s Correlation ◦ Feature Selection using Hypothesis Testing ◦ Feature Transformation ◦ Feature Transformation using Principal Component Analysis
Machine Learning for Financial Data December 2020 UNDERSTANDING MACHINE LEARNING (CONCEPTS) Contents ◦ What is Machine Learning ◦ Case Study: Using Machine Learning to Classify Emails ◦ Machine Learning Models – Regression – Classification – Clustering – Deep Learning ◦ The Machine Learning Process Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Understanding
UNSUPERVISED LEARNING Machine Learning for Financial Data March 2021 Contents ◦ Introduction ◦ Cluster Analysis ◦ K-Means Clustering ◦ K-Modes Clustering ◦ Density-based Clustering Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Unsupervised Learning Introduction Machine learning focuses primarily on supervised learning but the vast majority of the available data is unlabelled! ▪
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Machine Learning for Financial Data December 2020 FEATURE ENGINEERING (CONCEPTS – PART 2) Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Feature Engineering Contents ◦ Feature Improvement ◦ Feature Construction Feature Improvement Data Probability Distribution Variable Transformations ▪ Linear and logistic regression assume that the variables are normally distributed ▪ If they are
REGRESSION – CONCEPTS (PART 1) Machine Learning for Financial Data January 2021 Contents ◦ Supervised Learning ◦ Linear Regression ◦ Polynomial Regression ◦ Regularized Regression ◦ Time Series Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Regression Supervised Learning Supervised Learning Supervised learning is the machine learning task of learning a function that
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Machine Learning for Financial Data January 2021 CLASSIFICATION (CONCEPTS – PART 1) Contents ◦ The Iris Dataset ◦ Training & Testing Data Partitioning ◦ Evaluation by Accuracy Score ◦ k-Nearest Neighbours Classifier ◦ Decision Tree Classifier Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Classification The Iris Dataset The Iris dataset has a
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Machine Learning for Financial Data January 2021 DEEP LEARNING (PART 1) Contents ◦ What is Deep Learning ◦ Multilayer Perceptrons (MLP) ◦ Convolutional Neural Networks (CNN) ◦ Recurrent Neural Networks (RNN) ◦ Generative Adversarial Networks (GAN) ◦ Deep Reinforcement Learning ◦ Gradient Descent Optimization Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Deep
Machine Learning for Financial Data February 2021 CLASSIFICATION (CONCEPTS – PART 2) Contents ◦ Naive Bayes Classifier ◦ Support Vector Machine (SVM) ◦ Random Forest ◦ Logistic Regression Copyright (c) by Daniel K.C. Chan. All Rights Reserved. 2 Classification Naive Bayes Classifier Naïve Bayes classifier relies on the probability function of pedal & sepal measures