First load necessary packages import pandas as pdimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Dense, Dropout, Conv2Dimport keras.backend as Kimport scipy, imageioimport matplotlib.pyplot as pltfrom PIL import Image%matp...
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I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, … Continue reading →
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Good news learners! SAS University Edition has gone back to school and learned some new tricks. With the December 2017 update, SAS University Edition now includes the SASPy package, available in its Jupyter Notebook interface. If you're keeping track, you know that SAS University Edition has long had support for
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In keras, we can visualize activation functions' geometric properties using backend functions over layers of a model. We all know the exact function of popular activation functions such as 'sigmoid', 'tanh', 'relu', etc, and we can feed data to these f...
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One of the big benefits of the SAS Viya platform is how approachable it is for programmers of other languages. You don't have to learn SAS in order to become productive quickly. We've seen a lot of interest from people who code in Python, maybe because that language has become
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Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles. The section is also integrated into the main paper itself. New … Continue reading →
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What tools do we use most for data science, machine learning, or analytics? Python, R, SAS, KNIME, RapidMiner,…? How do we use them? We are about to find out as the two most popular surveys on data science tools have … Continue reading →
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Thanks to a new open source project from SAS, Python coders can now bring the power of SAS into their Python scripts. The project is SASPy, and it's available on the SAS Software GitHub. It works with SAS 9.4 and higher, and requires Python 3.x. I spoke with Jared Dean
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