SAS Intelligent Decisioning enables users to create, test, control versioning and trace analytically driven decisions all in one solution.
SAS Intelligent Decisioning: Intro and Update was published on SAS Users.
Tag: python
SAS or Python? Why not use both? Using Python functions inside SAS programs
Two sayings I’ve heard countless times throughout my life are “Work smarter, not harder,” and “Use the best tool for the job.” If you need to drive a nail, you pick up a hammer, not a wrench or a screwdriver. In the programming world, this could mean using an existing […]
SAS or Python? Why not use both? Using Python functions inside SAS programs was published on SAS Users.
Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS
In my ongoing quest to track The Popularity of Data Science Software, I’ve just updated my analysis of the job market. To save you from reading the entire tome, I’m reproducing that section here. Continue reading →
Data Science Software Used in Journals: Stat Packages Declining (including R), AI/ML Software Growing
In my neverending quest to track The Popularity of Data Science Software, it’s time to update the section on Scholarly Articles. The rapid growth of R could not go on forever and, as you’ll see below, its use actually declined … Continue reading →
Gartner’s 2019 Take on Data Science Software
I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here’s just the updated section: Continue reading →
Visualize your own image fitler
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…
Gartner’s 2018 Take on Data Science Tools
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 →
Coding in Python with SAS University Edition
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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