Tag: machine learning

Heart Disease Prediction Using Keras Deep Learning

Heart disease covers a range of different conditions that could affect your heart. It is one of the most complex diseases to predict given the number of potential factors in your body that can lead to it. Identifying and predicting…

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Deep Learning: Techniques to Avoid Overfitting and Underfitting

Machine Learning is all about striking the right balance between optimization and generalization. Optimization means tuning your model to squeeze out every bit of performance from it. Generalization refers to making your model generic enough so that it can perform…

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Three Announcements from Oracle OpenWorld You Probably Didn’t Hear

The buzz from OpenWorld this year was the permanently free Oracle Cloud offering, the new Exadata X8M (reportedly capable of 12 million I/O per second!), Oracle Autonomous Cloud at Customer, and the new Blockchain table. Here are three interesting or…

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Report: Data Warehouses Are Heading To The Cloud

Unisphere Research Report uncovers the trends that are driving analytics workloads to the cloud, including real-time analytics and machine learning.   Data strategies are now commonplace, machine learning adoption has doubled in a year, and data warehouses are still a go-to…

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Making a business case for Machine Learning

The first step to kick off a Machine Learning (ML) project is to have a written proposition for the business problem, and second, to frame the ML problem. Before even discussing an ML method, it is necessary first to understand…

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An overview of best practices for implementing ML systems – Part 1

In this series of blog posts, we will recommend some best practices identified from our own failures and successes throughout our time implementing machine learning (ML) systems. We won’t discuss ML techniques here, but instead, provide an upper-level overview of…

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Datascape Podcast Ep 34 – Recapping Microsoft Build 2019 with Warner Chaves

Today on the Datascape Podcast we are joined by Warner Chaves to discuss the most exciting announcements from the recent Microsoft Build 2019 Conference! We run through a host of different products and services with Warner, hand-picking the most most…

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An Oracle-based approach to the “taxi fare” prediction problem – episode 2

This is the second part of the series on the Taxi Fare prediction problem from an Oracle perspective. You can read Episode 1 here. In this Episode, I will put our model to work. That is, I will show several…

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An Oracle-based approach to the “taxi fare” prediction problem – episode 1

Although I haven’t produced a lot of posts, those I have produced were always strictly related to the Oracle RDBMS as a whole product, basically a record of interesting findings that came up during my day-to-day job. Now, this is…

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An explanation of machine learning algorithms

Machine learning algorithms help to identify hidden insights in data without needing explicit, complicated programmes. Machine learning uses algorithms which learn from previous data to help produce reliable and repeatable decisions. It’s important to know the iterative aspect of machine learning, as…

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