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Oracle

Oracle Analytics Cloud – RPD Best Practices 3/3

November 19, 2019November 19, 2019

So, having taken a look through the physical and logical RPD layers of OACS.  Now lets move onto the presentation layer.   Many people see the presentation layer as a simple ‘this is what the customer sees’ non-entity that has to be produced, however […]

Oracle

Oracle Analytics Cloud – RPD Best Practices 2/3

November 19, 2019November 19, 2019

In part one, we discussed best practices for the OACS RPD Physical Layer.  In this section we assume that your physical layer is complete and you have moved onto the OACS RPD Logical Layer.  RPD Logical Layer Best Practices  Logical Joins  Apply one-to-many logical joins between […]

Oracle

Oracle Analytics Cloud – RPD Best Practices – 1/3

November 19, 2019November 19, 2019

It’s an early start and a fairly solid commute for me to a client site in Winchester, so I thought I’d open up the new blog by talking about something fairly common across the industry.  Let’s look at OACS best practices.  I’ll […]

Deep Learning
Deep Learning Machine Learning Python

Predicting Customer Churn with Neural Networks in Keras

May 27, 2019June 23, 2019

Why Predict Customer Churn? This is a big one for organisations everywhere and one of the main areas in which we see high adoption rate of machine learning, this is probably down to the fact that we are predicting customer […]

Simple Keras Neural Network
Data Science Deep Learning Machine Learning Python

Simple Neural Network Sentiment Analyser Using Keras

May 19, 2019July 10, 2019

What is a Sentiment Analyser? Want to know how a product owner can find out heaps on insight about how their products are received by customers, without having to read millions of articles and reviews? A Sentiment Analyser is the […]

Model Evaluation
Analytics Strategy Data Science Data Science Process

The Data Science Process – Part 5 – Deployment and Feedback

May 6, 2019May 6, 2019

So we’ve arrived, seemingly at the end of our journey. I wouldn’t be ready to pull the rip-cord just yet. We still need to get the customer to agree that our model is fit for purpose, and present our results […]

Data Science Modelling
Analytics Strategy Data Science Data Science Process

The Data Science Process – Part 4 – Modelling and Evaluation

May 6, 2019July 10, 2019

Not all Models are Created Equal… On to the fancy part of the Data Science process. This is what Data Scientists are renowned for: producing a model that takes data, performs some magic, then spits out the correct answer – […]

Data Science Process
Analytics Strategy Data Science Data Science Process

The Data Science Process – Part 3 – Acquire, Understand and Prepare Data

May 6, 2019July 10, 2019

This is the 3rd post in the Data Science Process Series.  Now we have taken a look at the process holistically, performed the necessary, planning, agreed the architecture and defined the problem from both a business ‘human’  and analytical ‘techy’ […]

Data Science Process
Analytics Strategy Data Science

The Data Science Process – Part 2 – Defining the Project

May 6, 2019July 10, 2019

Post Two in the Data Science Process series looks into the below areas, highlighted in green. Lets Recap: Define Business Problem Here we work closely with business subject matter experts to understand the business problem.  What is the issue?  What […]

High Level Data Science Process Model
Analytics Strategy Data Science

The Data Science Process – Part 1 – High Level Introduction

May 6, 2019July 10, 2019

I feel the urge to throw my two-cents in regarding the data science process.  There are plenty of competing opinions circulating the industry regarding how we do what we do.  I have spent (probably too much) time researching the Data […]

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