Convolutional neural networks are a powerful artificial neural network technique. These networks preserve the spatial structure of the problem and were developed for object recognition tasks such as handwritten digit recognition. They are popular because people can achieve state-of-the-art results on challenging computer vision and natural language processing tasks. In this post, you will discover […]
Machine Learning Mastery With Weka Discover How To Build Predictive Models In Minutes Without The Code, Without The Math and Without the Confusion Getting Started in Applied Machine Learning is Hard …it’s hard for more reasons than you even know When you start out in applied machine learning, there is so much to learn. For example: […]
Why start with Weka over another tool like the R environment or Python for applied machine learning? In this post you will discover why Weka is the perfect platform for beginners interested in rapidly getting good at applied machine learning. After reading this post you will know: Why getting started in applied machine learning is hard. […]
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Deep Learning with Python Tap the Power of TensorFlow and Keras, Develop Your First Model, Achieve state-of-the-Art Results Why Are Deep Learning Models So Powerful? …the secret is “Representation Learning“ Deep learning techniques are so powerful because they learn the best way to represent the problem while learning how to solve the problem. This is […]
The scikit-learn library is one of the most popular platforms for everyday machine learning and data science. The reason is because it is built upon Python, a fully featured programming language. But how do you get started with machine learning with scikit-learn. Kevin Markham is a data science trainer who created a series of 9 […]
The Python ecosystem is growing and may become the dominant platform for machine learning. The primarily rationale for adopting Python for machine learning is because it is a general purpose programming language that you can use both for research and development and in production. In this post you will discover the Python ecosystem for machine learning. Let’s get started. […]
A downside of K-Nearest Neighbors is that you need to hang on to your entire training dataset. The Learning Vector Quantization algorithm (or LVQ for short) is an artificial neural network algorithm that lets you choose how many training instances to hang onto and learns exactly what those instances should look like. In this post […]
There are so many deep learning libraries to choose from. Which are the good professional libraries that are worth learning and which are someones side project and should be avoided. It is hard to tell the difference. In this post you will discover the top deep learning libraries that you should consider learning and using […]
Machine Learning Mastery With Python Discover The Fastest Growing Platform For Professional Machine Learning With Step-By-Step Tutorials and End-To-End Projects Machine Learning Mastery with Python is for Developers ….with a little Background in Machine Learning …and LOTS of Interest in Making Accurate Predictions and Delivering Results I have carefully designed this Ebook for developers that already know a little background in […]
