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Homework 31 Due by 11:59pm 11/11/2018 Objective This assignment is about building a reinforcement learning agent. In particular, you will have to build a ​Frogger​ agent, who must navigate its way home. Your frog needs to learn to perform the right actions — up, down, left, right, or “no op” — using Q-Learning. Preliminaries ● […]

CSE 158, Fall 2018: Homework 3 Instructions Please submit your solution by the beginning of the week 7 lecture (Wednesday, Nov 14). Submissions should be made on gradescope. Please complete homework individually. These homework exercises are intended to help you get started on potential solutions to Assignment 1. We’ll work directly with the Assignment 1

CPSLP Programming assignment 1 Introduction – Speech Synthesiser Your task for this assignment is to create a Speech Synthesiser! So, your Python program will take text input from a user and convert it to a sound waveform containing intelligible speech. This will be a very basic waveform concatenation system, whereby the acoustic units are recordings

Developing an OCR system COM2004/3004 Assignment Due: 3:00pm on Wednesday 12th December Contents • 1. Objective • 2. Background • 3. The task • 4. What you are given – 4.1. The data – 4.2. The code • 5. How to proceed – Step 1: Read and understand the code provided – Step 2: Test

Infographic In this PA, you will be writing a program that reads in a text file (perhaps containing the contents of a book, poem, article, etc) and produces an infographic based on the text. You will need to use one or more dictionaries to count words in the program. You may also use lists and

COLLEGE OF ENGINEERING AND APPLIED SCIENCES DEPARTMENT OF COMPUTER SCIENCE Fall 2018 – CSI213 Data Structures Project 2 Instructions: 1. All projects are individual projects unless it is notified otherwise. If one of the following is true, no credits will be given: The project is late. The class design is missing. Wrong files are submitted

Key information QBUS2820 Predictive Analytics Semester 2, 2018 Assignment 2 Required submissions: Written report (word or pdf format, through Turnitin submission) and Jupyter Notebook (through Ed). Group leader needs to submit the Written report and Jupyter Notebook. Due date: Saturday 3rd November 2018, 2pm (report and Jupyter notebook submission). The late penalty for the assignment

COMP6245: Coursework 1 Due date The hand-in date for the assignment is Monday, December 3, 2018 . 2 Introduction You should implement all the exercises for yourself. Tools such as scikit- learn are there for you to use in practical contexts, but for understanding the underpinnings of many of those implementations you need to work

CMPT 419/726: Assignment 2 (Fall 2018) Instructor: Greg Mori Assignment 2: Classification / Deep learning Due October 29 at 11:59pm This assignment is to be done individually. Important Note: The university policy on academic dishonesty (cheating) will be taken very seriously in this course. You may not provide or use any solution, in whole or

Assignment 4 Week 1 Northern California Temperature Anomaly In this assignment, we’ll look at some climate change data from the National Oceanic and Atmospheric Administration (the US government agency in charge of weather and climate data, among other things). In particular, we’ll look at one of the “headline” datasets, global temperature anomaly over the last