APS1070, Fall 2021: Lecture 2 Based on course material by . PS1070 Class Representatives If you have any complaints or suggestions about this course, please talk to me or email me directly. Alternatively, talk to one of the class reps who will then talk to me and the teaching team. ▶ Morning Section ▶ ▶ […]
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APS1070 Foundations of Data Analytics and Machine Learning Fall 2021 Week 3: • End-to-endMachineLearning • Data Retrieval and Preparation • Plotting and Visualization • MakingPredictions • Decision Trees Prof. Agenda ➢Today’s focus is on Foundations of Learning 1. End-to-end machine learning 2. Python Libraries —NumPy —Matlplotlib —Pandas —Scikit-Learn 3. Decision Trees 2 Part 1 End-to-End
L3 APS1070 Week 3 Lecture Code¶ Data Exploration¶ It is strongly suggested that you follow along and run your own code during the lecture. By the end of this lecture, you should be able to: Setup and use Google Colab. Be able to perform basic operations using NumPy. Be able to plot using matplotlib. Be
APS1070 Foundations of Data Analytics and Machine Learning Fall 2021 Lecture 1: • Introduction • CourseOverview • Machine Learning Overview • K-nearestNeighbourClassifier Prof. 1 2 Instruction Team Instructor: Prof. Head-TA: Zadeh TA: TA: Haoyan (Max) A: TA: Get to know the instruction team: https://q.utoronto.ca/courses/223861/pages/course-contacts 3 Communication ➢Preferred contact method for a quick response: Piazza; 1.
Nondeterministic Finite Automata COMP1600 / COMP6260 Australian National University Semester 2, 2021 DFA Minimisation Elimination of equivalent states. if two states are equivalent, one can be eliminated Elimination of Unreachable States if a state cannot be reached from the initial state then it can also be eliminated. Example. S not reachable ?0 3
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COMP90038 Algorithms and Complexity Lecture 6: Recursion (with thanks to Harald Søndergaard) DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License Recursion We’ve already seen some examples • A very natural approach when the data structure is • recursive (e.g. lists, trees) But
Structural Induction COMP1600 / COMP6260 Australian National University Semester 2, 2020 1/60 Induction on Lists Q. How do we make all finite lists? A. All lists (over type A) can be obtained via the following: the empty list [] is a list (of elements of type A) given a list as and an element a
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COMP90038 Algorithms and Complexity Priority Queues, Heaps and Ohrimenko (Slides from Harald Søndergaard) Lecture 13 Semester 2, 2021 …………… . …. …………….. … Algorithms and Complexity (Sem 2, 2021) Priority Queues, Heaps and Heapsort © University of Melbourne 1 / 1 New lecturer Dr Olya Ohrimenko (part 2) PhD from Brown University 6 years Microsoft
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1. Introduction and JUnit Module 1 Part 1 of 2 Introduction and Agents 1 1 Class Learning Objectives Understand objectives of AI Apply agents 2 The word “AI” has become ubiquitous. But what, exactly, does it mean? This part answers that question. A good portion of AI approaches problems from the perspective of agents—autonomous objects
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CSCI 4061 Introduction to Operating Systems Instructor: General Information Lectures: Sec 1: Tu/Th 8.15 am-9.30 am Sec 10: Tu/Th 1pm-2.15pm Course Modality: Lecture, labs in-person (subject to change) Live streamed and recorded lectures, labs All office hours via zoom Course material and information: Via Canvas page
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