Category: Machine Learning

Articles About Machine Learning

Machine Learning

Applied Deep Learning in Python Mini-Course

Last Updated on December 11, 2019 Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning. Which library should you use and which techniques should you focus on? In this post you will discover a 14-part crash course into deep learning in Python with the easy to use and powerful Keras library. This mini-course is intended for […]

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Machine Learning

Crash Course in Recurrent Neural Networks for Deep Learning

Last Updated on August 14, 2019 There is another type of neural network that is dominating difficult machine learning problems that involve sequences of inputs called recurrent neural networks. Recurrent neural networks have connections that have loops, adding feedback and memory to the networks over time. This memory allows this type of network to learn and generalize across sequences of inputs rather than individual patterns. A powerful type of Recurrent Neural Network called the Long Short-Term Memory Network has been […]

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Machine Learning

How to Transform Your Machine Learning Data in Weka

Last Updated on December 13, 2019 Often your raw data for machine learning is not in an ideal form for modeling. You need to prepare or reshape it to meet the expectations of different machine learning algorithms. In this post you will discover two techniques that you can use to transform your machine learning data ready for modeling. After reading this post you will know: How to convert a real valued attribute into a discrete distribution called discretization. How to […]

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Machine Learning

How To Handle Missing Values In Machine Learning Data With Weka

Last Updated on December 13, 2019 Data is rarely clean and often you can have corrupt or missing values. It is important to identify, mark and handle missing data when developing machine learning models in order to get the very best performance. In this post you will discover how to handle missing values in your machine learning data using Weka. After reading this post you will know: How to mark missing values in your dataset. How to remove data with […]

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Machine Learning

Deep Learning Courses

Last Updated on August 19, 2019 It can be difficult to get started in deep learning. Thankfully, a number of universities have opened up their deep learning course material for free, which can be a great jump-start when you are looking to better understand the foundations of deep learning. In this post you will discover the deep learning courses that you can browse and work through to develop and cement your understanding of the field. This is a long post […]

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Machine Learning

How to Perform Feature Selection With Machine Learning Data in Weka

Last Updated on December 13, 2019 Raw machine learning data contains a mixture of attributes, some of which are relevant to making predictions. How do you know which features to use and which to remove? The process of selecting features in your data to model your problem is called feature selection. In this post you will discover how to perform feature selection with your machine learning data in Weka. After reading this post you will know: About the importance of feature […]

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Machine Learning

8 Inspirational Applications of Deep Learning

Last Updated on August 19, 2019 It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. A fact, but also hyperbole. There is a lot of excitement around artificial intelligence, machine learning and deep learning at the moment. It is also an amazing opportunity to get on on the ground floor of some really powerful tech. I try hard to convince friends, colleagues and students to get started in deep learning and bold statements like the […]

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Machine Learning

How to Use Machine Learning Algorithms in Weka

Last Updated on August 22, 2019 A big benefit of using the Weka platform is the large number of supported machine learning algorithms. The more algorithms that you can try on your problem the more you will learn about your problem and likely closer you will get to discovering the one or few algorithms that perform best. In this post you will discover the machine learning algorithms supported by Weka. After reading this post you will know: The different types of […]

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Machine Learning

How To Estimate The Performance of Machine Learning Algorithms in Weka

Last Updated on August 22, 2019 The problem of predictive modeling is to create models that have good performance making predictions on new unseen data. Therefore it is critically important to use robust techniques to train and evaluate your models on your available training data. The more reliable the estimate of the performance on your model, the further you can push the performance and be confident it will translate to the operational use of your model. In this post you […]

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Machine Learning

Time Series Prediction With Deep Learning in Keras

Last Updated on August 28, 2020 Time Series prediction is a difficult problem both to frame and to address with machine learning. In this post, you will discover how to develop neural network models for time series prediction in Python using the Keras deep learning library. After reading this post you will know: About the airline passengers univariate time series prediction problem. How to phrase time series prediction as a regression problem and develop a neural network model for it. […]

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