100E Projects

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Industries

Automotive

Building and Infrastructure

Finance

Financial Services

Government Agency

Healthcare

Insurance

Lifestyle

Logistics

Manufacturing

Technology

Automotive

Fault Detection and Resolution in IT systems

Methods

NLP (e.g. TF-IDF, SVD, word embeddings)
TSNE
Clustering (K-means, DBscan)
Classification (Logistic regression)

Tools

Scikit-learn
Dash / Plotly
Polyaxon

Building and Infrastructure

Predictive Lift Maintenance

Methods

Fourier analysis
Statistical text mining
Time series analysis
Classification

Tools/Platforms

Spark
Python
Scikit-learn
Javascript
Azure

Finance

AI for Price Forecasting

Methods

NLP language models
Web scrapers

Tools

Google BERT

Financial Services

AI for Monitoring and
Summarization of Key Updates

Methods

Ensemble Learning
Google BERT
Rules matching

Tools

Spacy NLP
Google BERT
SK Learn

AI for Credit Scoring

Methods

Time series analysis
Recurrent neural network
Regression
Anomaly detection

Tools

Tensorflow
Keras
SK Learn

FMCG

AI to Increase Customer Lifetime Value

 (Behavioral Insights and Campaign Optimisation)

Methods

Recurrent neural network
Hidden markov model
Anomaly detection
Social media scraping
NLP

Tools

Tensorflow
SK Learn

Government Agency

Automatic Speech Recognition for
Call Centre Transcription

Methods

Markov model
Language and acoustic models
Sequence-to-sequence LSTM network
distributed computing

Tools

Kaldi
Tensorflow
Airflow

Healthcare

AI to Assess Chronic Wounds in
Diabetic and Elderly Patients

Methods

Image processing
Semantic segmentation
Neural architecture search
Augmentation search

Tools/Platforms

OpenCV
Tensorflow
Android
HPC
MLFlow

AI to Perform Real Time Prediction for Occurrence of Particular Medical Condition

Methods

Supervised, unsupervised machine learning algorithms
Time series forecasting

Tools/Platforms

Python
Scikit-learn

AI to Predict Re-hospitalisation Risk for Particular Medical Condition

Methods

Logistic regression
NLP
Signal processing
Medical feature engineering

Tools/Platforms

Python
Scikit-Learn
Spacy

AI for Smart Biopsy Needle Path Planning

Methods

DICOM Image Processing
Nodule Localisation and Classification
Path & Cost Planning

Tools/Platforms

PyTorch
Keras
OpenCV
VTK

Fraud Detection in Medical Claims

Methods

Supervised and unsupervised machine learning algorithms

Tools/Platforms

Python
Scikit-learn
Azure

AI to Classify Dermatological Conditions

Methods

CNN
Image segmentation
Object detection
YOLO
Transfer learning

Tools

Metal
CoreML
Tensorflow
Amazon Lambda

Insurance

Claim Fraud Detection

Methods

Deep learning
NLP
Sequence models
Anomaly detection

Tools

Tensorflow
SK Learn
Spacy

Lifestyle

Guiding Meaningful Interaction
through Understanding of
Chat History and Attributes

Methods

NLP (e.g. TF-IDF, SVD, word embeddings)
BERT

Tools

Elasticsearch / ETK stack

Logistics

Dynamic Vehicle Route Planning

Methods

Exploring data based enhancements that might be employed (using CV, profiling of drivers, routes etc.)

Tools

Java and Python programming together with open-source VRP tools

Manufacturing

Product Failure Prediction

Methods

Deep convolutional neural network
CAM
Survival analysis
Classification

Tools

Keras
Python
Scikit-learn
Azure/NSCC

Technology

Intelligent Monitoring of Mobile Devices for Protection Against Malware

Methods

Distance-based method
For k-Nearest Neighbor (kNN) the primary hyperparameter to tune is the number of neighbors.

Deep learning methods
For Long Short Term Memory (LSTM), the hyperparameters to tune are the number of layers and the cells in each layer.
For Convolutional Neural Network (CNN), the hyperparameters are the number of convolution and pooling layers, the kernel size, number of filters for each convolutional layer, pooling size and strategy of the pooling layers.

Tools

Keras
Python
Android
Java

AI to Assess FPGA Design

Methods

Convolutional Neural Networks
Network Models

Tools/Platforms

Python
Keras
NetworkX
Proprietary FPGA compiler

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Introduction to Machine Learning with Python