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You're reading from  Mastering Predictive Analytics with scikit-learn and TensorFlow

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789617740
Edition1st Edition
Languages
Python
Tools
Scikit-learnTensorFlow
Concepts
Predictive Analytics
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Author (1)
Alvaro Fuentes
Alvaro Fuentes
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Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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Predictions with TensorFlow

We will perform the hello world example of deep learning. This example is used to check and ensure that a model is working as intended. For this, we will use the MNIST dataset.

Introduction to the MNIST dataset

MNIST stands for Mixed National Institute of Standards and Technology, which has produced a handwritten digits dataset. This is one of the most researched datasets in machine learning, and is used to classify handwritten digits. This dataset is helpful for predictive analytics because of its sheer size, allowing deep learning to work its magic efficiently. This dataset contains 60,000 training images and 10,000 testing images, formatted as 28 x 28 pixel monochrome images. The following screenshot...

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Mastering Predictive Analytics with scikit-learn and TensorFlow
Published in: Sep 2018Publisher: PacktISBN-13: 9781789617740
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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