Machine Learning

Introduction to the Python Deep Learning Library TensorFlow

Last Updated on December 20, 2019 TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post you will discover the TensorFlow library for Deep Learning. Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code […]

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Machine Learning

Introduction to Machine Learning with scikit-learn

Last Updated on August 21, 2019 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 videos that show you exactly how to get started in machine learning with scikit-learn. In this post you will […]

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Machine Learning

scikit-learn Cookbook Book Review

Last Updated on August 15, 2020 The scikit-learn library is the premiere library for machine learning in Python. The online documentation is quite good but sometimes can feel fragmented or limited by narrow examples. In this post you will discover the book Scikit-Learn Cookbook by Trent Hauck that provides a desktop reference to supplement the online documentation and help you get started with scikit-learn quickly. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials […]

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Machine Learning

Introduction to Python Deep Learning with Keras

Last Updated on September 13, 2019 Two of the top numerical platforms in Python that provide the basis for Deep Learning research and development are Theano and TensorFlow. Both are very powerful libraries, but both can be difficult to use directly for creating deep learning models. In this post, you will discover the Keras Python library that provides a clean and convenient way to create a range of deep learning models on top of Theano or TensorFlow. Kick-start your project […]

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Machine Learning

How To Load Machine Learning Data in Python

Last Updated on August 21, 2019 You must be able to load your data before you can start your machine learning project. The most common format for machine learning data is CSV files. There are a number of ways to load a CSV file in Python. In this post you will discover the different ways that you can use to load your machine learning data in Python. Kick-start your project with my new book Machine Learning Mastery With Python, including […]

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Machine Learning

How to Train Keras Deep Learning Models on AWS EC2 GPUs (step-by-step)

Last Updated on August 19, 2019 Keras is a Python deep learning library that provides easy and convenient access to the powerful numerical libraries like TensorFlow. Large deep learning models require a lot of compute time to run. You can run them on your CPU but it can take hours or days to get a result. If you have access to a GPU on your desktop, you can drastically speed up the training time of your deep learning models. In […]

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Machine Learning

Understand Your Machine Learning Data With Descriptive Statistics in Python

Last Updated on December 11, 2019 You must understand your data in order to get the best results. In this post you will discover 7 recipes that you can use in Python to learn more about your machine learning data. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples. Let’s get started. Update Mar/2018: Added alternate link to download the dataset as the original appears […]

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Machine Learning

Visualize Machine Learning Data in Python With Pandas

Last Updated on December 11, 2019 You must understand your data in order to get the best results from machine learning algorithms. The fastest way to learn more about your data is to use data visualization. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples. Let’s […]

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Machine Learning

Crash Course On Multi-Layer Perceptron Neural Networks

Last Updated on August 15, 2020 Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. In this post you will get a crash course in the terminology and processes used in the field of multi-layer perceptron artificial neural networks. After reading this post you will know: The building blocks of neural networks including neurons, […]

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Machine Learning

How To Prepare Your Data For Machine Learning in Python with Scikit-Learn

Last Updated on December 11, 2019 Many machine learning algorithms make assumptions about your data. It is often a very good idea to prepare your data in such way to best expose the structure of the problem to the machine learning algorithms that you intend to use. In this post you will discover how to prepare your data for machine learning in Python using scikit-learn. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials […]

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