CSC 311: Introduction to Machine Learning Lecture 3 – Bagging, Linear Models I Roger G. of Toronto, Fall 2021 Intro ML (UofT) CSC311-Lec3 1 / 49 Copyright By PowCoder代写 加微信 powcoder Today we will introduce ensembling methods that combine multiple models and can perform better than the individual members. I We’ve seen many individual models […]
CS代考 CSC 311: Introduction to Machine Learning Read More »
Lecture 2: Linear regression 1 Introduction Let’s jump right in and look at our first machine learning algorithm, linear regression. In regression, we are interested in predicting a scalar-valued target, such as the price of a stock. By linear, we mean that the target must be predicted as a linear function of the inputs. This
留学生代考 Lecture 2: Linear regression Read More »
Problem 1. For CS4473 (40 points) and CS5473 (20 points) We are going to develop a new cryptocurrency, called PDNcoinTM. At the Initial Coin Offering (ICO), everyone will be able to buy one PDNcoin for one US dollar. Only a trillion PNDcoins will be offered to create artificial scarcity. We expect that one PDNcoin will
CS代写 CS4473 (40 points) and CS5473 (20 points) Read More »
Week 6 part mining Miner’s role • Validate new transactions • Mine blocks Copyright By PowCoder代写 加微信 powcoder • Store and broadcast blockchains • Vote (by hash power) on consensus But who are the miners? So you want to be a miner? Klondike gold rush of 1898 (northwest Canada). Prospective miners ascending the Chilkoot pass.
CS代考 SHA256(SHA256(HDR)) < (65535 << 208)/ DIFFICULTY) Read More »
Week 6 part 1 mining Miner’s role • Validate new transactions • Mine blocks Copyright By PowCoder代写 加微信 powcoder • Store and broadcast blockchains • Vote (by hash power) on consensus But who are the miners? So you want to be a miner? Klondike gold rush of 1898 (northwest Canada). Prospective miners ascending the Chilkoot
代写代考 SHA256(SHA256(HDR)) < (65535 << 208)/ DIFFICULTY) Read More »
Intro to Parallel Computing Topic 12: Intro to CUDA COSC 407: Intro to Parallel Computing Topic 12: Intro to CUDA COSC 407: Intro to Parallel Computing Copyright By PowCoder代写 加微信 powcoder Today’s topics: • Intro to GPU programming • CPU vs GPU programming • Latency vs. Throughput • CUDA basics: the hardware layout • CUDA
代写代考 COSC 407: Intro to Parallel Computing Read More »
Intro to Parallel Computing Topic 13: CUDA Threads COSC 407: Intro to Parallel Computing Topic 13: CUDA Threads COSC 407: Intro to Parallel Computing Copyright By PowCoder代写 加微信 powcoder Previous pre-recorded lecture (Students’ led Q/As): – CUDA basics: program structure – Useful Built-in CUDA functions – Function Declarations (global, device, host) – Error Handling, cudaDeviceSynchronize
程序代写 COSC 407: Intro to Parallel Computing Read More »
Intro to Parallel Computing Topic 11 – Speedup vs. Efficiency COSC 407: Intro to Parallel Computing Topic 11 – Speedup vs. Efficiency COSC 407: Intro to Parallel Computing Copyright By PowCoder代写 加微信 powcoder Introduction • Speed of execution depends on many factors, one of them is good algorithm and code • Factors that affect the
留学生代考 COSC 407: Intro to Parallel Computing Read More »
Intro to Parallel Computing Topic 14: Scheduling, Warps and memory COSC 407: Intro to Parallel Computing Topic 14: Scheduling, Warps and Memory COSC 407: Intro to Parallel Computing Copyright By PowCoder代写 加微信 powcoder Previously: – Kernel Launch Configuration: nD grids/blocks – CUDA limits – Thread Cooperation – Running Example: Matrix Multiplication – Tiling (Improving Performance
CS代写 COSC 407: Intro to Parallel Computing Read More »
Intro to Parallel Computing Topic 13: CUDA Threads – Part 2 COSC 407: Intro to Parallel Computing Topic 13: CUDA Threads – Part 2 COSC 407: Intro to Parallel Computing Copyright By PowCoder代写 加微信 powcoder Previously: – Error Handling, cudaDeviceSynchronize – Hardware architecture: sp → SM → GPU – Thread Organization: threads → blocks →
程序代写 COSC 407: Intro to Parallel Computing Read More »