Tag: machine learning

How free funds can help you go further with Google Cloud

Blog 5: How free funds can help you go further with Google Cloud

Google Cloud is changing what’s possible in the cloud with advanced technologies like analytics and machine learning capabilities. That means cloud migrations are no longer just about lifting and shifting workloads to the cloud, but about fundamentally transforming the way…

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Don’t skip the most important part of your Google Cloud journey!

Blog 3: Don’t skip the most important part of your Google Cloud journey!

Organizations are turning to the cloud to reap the benefits of scalability, flexibility and cost savings as part of their data transformation efforts. But these environments are complex and require a strategic approach from the outset. Google Cloud is increasingly…

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Machine Learning: The Why, When and How

Why Machine Learning?

Why machine learning? At its simplest, machine learning (ML) uses mathematical models to analyze large volumes of data, identify patterns and make decisions. ML models can imitate human behavior to predict outcomes, such as those used for language translation, chatbot…

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Putting ML Prototypes Into Production Using TensorFlow Extended (TFX)

Introduction Machine learning projects start by building a proof-of-concept or a prototype. This entails choosing the right dataset (features), the appropriate ML algorithm/model and the hyper-parameters for that algorithm. As a result of a POC, we would have a trained…

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Five Ways Your Machine Learning Model Is like Cookie Monster

At the highest, simplest level, a machine learning (ML) model is an algorithm that ingests data and spits out insights, predictions or recommendations. It has two important phases—first you have to train your model (training) then you let the model…

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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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