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 […]

September 29, 2020 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 […]

September 29, 2020 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 […]

September 29, 2020 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 […]

September 29, 2020 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 […]

September 29, 2020 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 […]

September 29, 2020 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. […]

September 29, 2020 Machine Learning

How To Estimate A Baseline Performance For Your Machine Learning Models in Weka

Last Updated on December 13, 2019 It is really important to have a performance baseline on your machine learning problem. It will give you a point of reference to which you can compare all other models that you construct. In this post you will discover how to develop a baseline of performance for a machine learning problem using Weka. After reading this post you will know: The importance in establishing a baseline of performance for your machine learning problem. How […]

September 29, 2020 Machine Learning

Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras

Last Updated on August 28, 2020 Time series prediction problems are a difficult type of predictive modeling problem. Unlike regression predictive modeling, time series also adds the complexity of a sequence dependence among the input variables. A powerful type of neural network designed to handle sequence dependence is called recurrent neural networks. The Long Short-Term Memory network or LSTM network is a type of recurrent neural network used in deep learning because very large architectures can be successfully trained. In […]

September 29, 2020 Machine Learning

How To Use Regression Machine Learning Algorithms in Weka

Last Updated on August 22, 2019 Weka has a large number of regression algorithms available on the platform. The large number of machine learning algorithms supported by Weka is one of the biggest benefits of using the platform. In this post you will discover how to use top regression machine learning algorithms in Weka. After reading this post you will know: About 5 top regression algorithms supported by Weka. How to use regression machine learning algorithms for predictive modeling in […]

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