Name: Bosheng (Daniel) Zhang
Type: User
Company: VisionHQ Pty Ltd
Bio: ๐จโ๐ป AI and Machine Learning enthusiast with a passion for Data Analysis and Programming. Experienced in Python, ML solutions, and Google Cloud infrastructure.
Twitter: danielzhangau
Location: Brisbane, Australia
Blog: https://danielzhangau.github.io/
Bosheng (Daniel) Zhang 's Projects
spatial & multimedia databases: multidimensional data management concepts, theories, and technologies, focusing on data access methods and similarity query processing for spatial, multimedia, and Web-based databases, with particular emphasis on video indexing and search.
Analysis of algorithms. The solution of summation & recurrence equations. Algorithm paradigms: divide-&-conquer, greedy algorithms, dynamic programming, backtracking, branch-&-bound. Advanced graph algorithms. Amortised analysis. Self-adjusting data structures. Complexity classes, NP-completeness. Approximation algorithms. Randomized algorithms.
Advanced lane detection using computer vision
Methods & techniques within the field of artificial intelligence, including problem-solving and optimization by search, representing, and reasoning with uncertain knowledge and machine learning. Specific emphasis on the practical utility of algorithms and their implementation in software.
a simple version of Asteroids
Model Zoo of BDD100K Dataset
Bioinformatics is about applying computational and mathematical thinking to the biological sciences, changing how we approach scientific problems and increasing the scale and complexity of the problems we are able to solve.
OSI & Internet reference models. Communication protocols for Local, Metropolitan & Wide Area Networks. BISDN networks. The Internet protocol suite. Mobile Networks. Quality of service in communication protocols. Network security. Trends in communication networks.
This repository contains all the solutions for the assignments of the course - Algorithmic Toolbox offered on Coursera.
My solutions to Courseras - Algorithmic Toolbox, in Java
My personal portfolio website
Techniques used for data cleaning, finding patterns in structured, text, and web data; with application to areas such as customer relationship management, fraud detection & homeland security.
The application will provide users with an incentive to use public transport and allow them to collaborate socially with other commuters and add friends1. It will also inform users of the impact they are having on the environment2 and allow them to redeem gift cards and free ride vouchers with points they earned by using public transport3.
Solution of simple AC and DC Circuits. Electrical units & measurements. Voltage, current, impedance. Equivalent circuits. Electrical energy & power. Resistors, inductors, capacitors, phasors, filters. Introduction to analog and digital telecommunication systems. Operational amplifiers, sensors & actuators, simple controllers. Use of laboratory instruments, simulators and mathematical software tools.
Easy TOC creation for GitHub README.md
Example code for a Tensorflow + Keras workshop. https://challenge2018.isic-archive.com/
During the โITEE Summer of AIโ running by Shekhar S. Chandra, I participated in advanced seminars and masterclasses to enhance my knowledge of AI, ANN, and deep learning. I learned about the new and latest work of AI to keep up with the vast and rapidly growing research area. In addition, this program also provided me with opportunities to share and develop ideas with like-minded people and participate in the AI "culture" of competition and challenge.
Machine learning is a branch of artificial intelligence concerned with the development & application of adaptive algorithms that use example data or previous experience to solve a given problem.
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Theory of Computing
Video discussing this curriculum:
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Topics and algorithms will include fractal geometry, classification methods such as random forests, recognition problems using deep learning and models of the human vision system.
Pattern recognition and image processing library for Tensorflow
Working on large and complex software systems and ensuring those systems remain maintainable requires disciplined, individual practices.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A Desktop Application implemented by Python
road damage detection challenge 2020