Matthew Weaver matthewweaver

Portfolio

Completed Courses

Machine Learning	Deep Learning	Reinforcement Learning	Generative Adversarial Networks
Supervised Learning -- Linear Regression -- Logistic Regression -- Cost Function -- Gradient Descent -- Model Representation -- Jupyter -- Feature Engineering -- Feature Scaling -- Multi Variable Linear Regression -- Vectorisation -- SKLearn -- Classification -- Logistic Cost Function -- Decision Boundary -- Logistic Gradient Descent -- Logistic Loss -- Overfitting -- Regularisation -- Sigmoid Advanced Learning Algorithms -- Neural Networks for Binary Classification -- Neural Networks for Multiclass Classification -- Appling Machine Learning -- Decision Trees -- Coffee Roasting Case Study - Numpy -- Coffee Roasting Case Study - Tensorflow -- Neurons and Layers -- Multiclass Tensorflow -- Relu -- Softmax -- Bias and Variance -- Model Evaluation -- Information Gain -- Tree Ensembles Unsupervised Learning -- Anomaly Detection -- K Means Clustering -- Collaborative Filtering Recommender -- Content Based Filtering Recommender -- Deep Q Learning -- Principal Component Analysis	Neural Networks -- Numpy -- Logistic Regression -- Planar Data Classification -- Deep Neural Network -- Image Classification Hyperparameter tuning, Regularization and Optimization -- Initialisation -- Regularisation -- Gradient Checking -- Optimisation -- Tensorflow Convolutional Neural Networks -- Convolutional Model -- Convolutional Application -- Residual Networks -- Transfer Learning -- Car Detection with YOLO -- Image Segmentation with U-Net -- Face Detection -- Neural Style Transfer Sequence Models -- Recurrent Neural Network -- Character Level Language Model -- Long Short Term Memory -- Word Vectors -- Emojify -- Neural Machine Translation -- Trigger Word Detection -- Transformers Network -- Transformer Pre-Processing -- Transformer Named Entity Recognition -- Transformer Question Answering	Fundamentals -- Bandits and Exploration-Exploitation -- Dynamic Programming Sample Based Learning Methods -- Blackjack -- Temporal Difference -- Q Learning and Expected Sarsa -- Dyna Q Prediction and Control with Function Approximation -- Semi Gradient TD with State Aggregation -- Semi Gradient TD with Neural Network -- Function Approximation and Control -- Actor-Critic A Complete Reinforcement Learning System (Capstone) -- Case Study -- Lunar Landing Agent -- Parameter Study	Build Basic GANs -- PyTorch -- Basic GAN -- Deep Convolutional GAN -- Wasserstein GAN -- Conditional GAN -- Controllable Generation -- InfoGAN -- ProteinGAN -- Spectrally Normalised GAN -- Video Generation TGAN Build Better GANs -- Frechet Inception Distance -- Bias -- StyleGAN -- StyleGAN2 -- BigGAN -- GAN Debiasing -- Neural Radiance Fields -- Perceptual Path Length -- Score Based Generative Modelling -- Variational Autoencoder Apply GANs -- Data Augmentation -- UNet -- Pix2Pix -- Pix2PixHD -- CycleGAN -- CycleGAN Generator -- CycleGAN Consistency Loss -- GauGAN -- Generative Teaching Networks -- MUNIT

Projects

Garnet - Generative Adversarial Reinforcement Network Exploitation Tool
Combining a GAN with a Deep Reinforcement Learning agent to produce novel ideas for penetration testing, which the agent implements and gets feedback.

Scalable Streaming Data Platform
A web app written in Python with Flask allows input of search terms; a Scala app on Flink ingests matching tweets into Kafka in real time; a Python sentiment analysis model on Flink adds feature to tweet; Kubernetes deploys all services either locally with Minikube or AWS hosted with EKS; Kafka Connect indexes data with Elasticsearch and visualises on a Kibana dashboard allowing searching/aggregation and displays sentiment on a map

House Prices Application
Python app to search properties on Zoopla’s API; ingest historical house price data; calculate transport times using Google Maps API; crawl the Zoopla website for additional search and filter capabilities; applied regression models and a neural net to predict house values and compare to asking price\

Books


Deep Learning	Artificial Intelligence: A Modern Approach	Fluent Python	Designing Data-Intensive Applications	Scala for the Impatient

and more technical books and non-technical books about data and AI

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Matthew Weaver matthewweaver

Block or report matthewweaver

Portfolio

Completed Courses

Projects

Books

Popular repositories Loading

Uh oh!