An introduction to blockchain
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Blockchain is a method for storing information that makes it difficult or impossible to change, hack, or cheat the system. It involves a network of computers called nodes that maintain an identical history of transactions. Whenever a transaction occurs, it is validated by all nodes and added to the transaction history if approved. Blockchain technology is not only used for Bitcoin but Bitcoin uses it to function as a digital currency. Key components of a blockchain include hashes, the mempool of pending transactions, merkle roots to validate transactions efficiently, nonces as random numbers, and proof of work puzzles to validate transactions.
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Behind the Scenes of ChatGPT.pptxfsxflyer789Productio This document provides an overview of ChatGPT and how it works. It begins with introductions and then provides examples of deep learning applications. It explains that ChatGPT is a type of neural network called a Generative Pre-Trained Transformer (GPT) that is trained on large amounts of text data to predict the next word. GPTs work using an autoregressive approach where each word prediction depends on the previous words generated. The document concludes by explaining how very large GPT models like GPT-3 are able to generate full sentences and conversations.
GDSC Git event 2023.pptx
GDSC Git event 2023.pptxfsxflyer789Productio Github Desktop is a graphical user interface for GitHub that allows users to more easily perform version control functions like cloning repositories, committing and pushing code changes, resolving merge conflicts, and branching. Key features of Github Desktop include its compatibility with multiple operating systems, fast performance on terminals, and very user-friendly interface that makes collaboration easier compared to command line tools.
SKLearn Workshop.pptx
SKLearn Workshop.pptxfsxflyer789Productio The document discusses machine learning concepts and the machine learning pipeline using the scikit-learn library in Python. It covers different machine learning techniques like decision trees, logistic regression, and neural networks. It also outlines the standard machine learning steps of gathering and preprocessing data, selecting a model, training and evaluating models, and tuning hyperparameters.
OpenCV with Python
OpenCV with Pythonfsxflyer789Productio This document provides an introduction and overview of OpenCV with Python for computer vision. It discusses:
1) OpenCV is a leading computer vision and machine learning software library that can be used with Python. It provides basic functions for tasks like object recognition, computational photography, and autonomous vehicles.
2) The document outlines how to set up a Python environment with OpenCV, including installing Python, PyCharm, and the OpenCV package. It also provides resources for sample files and code repositories.
3) Finally, it previews some basic OpenCV concepts that will be covered like the computer vision pipeline, color spaces, blurring/filtering algorithms, edge detection, and the Viola-Jones face detection technique.
Building robots with Robot Operating System (ROS)
Building robots with Robot Operating System (ROS)fsxflyer789Productio The document discusses Robot Operating System (ROS), an open-source robotics middleware. It allows for reusable robot software programs through a messaging system and development tools. ROS provides services like hardware abstraction, messaging, and device control between nodes, which are individual executable programs. Key components include the ROS master, nodes, messages, topics, and the publisher-subscriber model for communication between nodes.
GDSC x Fintech Algorithmic Investing event
GDSC x Fintech Algorithmic Investing eventfsxflyer789Productio The document discusses algorithmic investing and technical indicators like simple moving averages (SMA), exponential moving averages (EMA), and moving average convergence divergence (MACD). It provides formulas for SMA and explains how EMA puts more emphasis on recent price data. The document also discusses using MACD as a trading strategy and combining it with relative strength index (RSI). It concludes with an overview of demonstrating these concepts in a live algorithmic trading program.
Unity workshop
Unity workshopfsxflyer789Productio The document provides an introduction to 2D game development with Unity. It discusses key Unity concepts such as scenes, game objects, components and scripts. It then demonstrates how to build a basic 2D platformer game in Unity, including creating a player character, allowing movement with scripts, adding animations, developing platforms, and enabling jumping. The document recommends resources for further learning Unity and 2D game development.
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An introduction to blockchain
- 2. Workshops & Talks McMaster University Parsa Salamatian Speaker
- 3. What even is blockchain? ● Blockchain is a method for storing information in a way that makes it difficult or impossible to change, hack, or cheat the system. ● Blockchain is basically a network of computers called nodes which all have same history of transactions. ● Whenever a transaction occurs, it gets validated by everyone and if approved, it is placed ahead in that history of transactions of that network. ● Please note that blockchain is not only about Bitcoin. Bitcoin is simply a digital currency which is built using blockchain technology.
- 4. Key components of a blockchain ● Hash ● Mempool ● Merkle Root ● Nonce ● Proof of work
- 5. Hash Hashing is simply passing some data through a formula that produces a result, called a hash. Characteristics of a good hash function ● Free input size ● Specific output length ● Efficiently Computable; O(n) Characteristics of a good cryptographic hash function ● Difficult to brute force ● Collision resistance
- 6. Mempool The mempool (memory pool) is a smaller database of unconfirmed or pending transactions which every node keeps. Merkle Root The mempool is a smaller database of unconfirmed or pending transactions which every node keeps.
- 7. Nonce A nonce just is a random number that is generated. The term stands for "number used once" or "number once" Proof Work In a proof-of-work system, a computer is required to solve a computational problem of a predetermined level of difficulty and if this is done before all other computers, it will receive a reward for being the first to solve the puzzle
- 9. Let's go through the steps together
- 11. Thank You!