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Julia is a high-level, dynamic programming language, designed to give users the speed of C/C++ while remaining as easy to use as Python. This means that developers can solve problems faster and more…
Microsoft Excel is a powerful tool for learning the basics of data science and machine learning.
By Nagesh Singh Chauhan, Big data developer at CirrusLabs What is Clustering?? Clustering is a technique that groups similar objects such that the objects in the same group are more similar to each…
Demystifying Apache Arrow - some observations from a data scientist. Learning more about a tool that can filter and aggregate two billion rows on a laptop in two seconds
Here’s to making this next year productive, satisfying, and all-around beneficial.
I remember those days, oh so long ago, it seems like another lifetime. I haven’t used Pandas in many a year, decades, or whatever. We’ve all been there, done that. Pandas I mean. I would dare say it’s…
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A checklist for your first days on the job
«Set up your computer, log-in details, and remote access. Acquire necessary hardware, software downloads, and get tech support, if needed. Set up phone access, if needed. Join communication channels such as Teams or Slack, depending on what your organization offers.Request data access on Day 1. Given that this may take some time to proces»
Appen’s latest State of AI Report reveals advances in helping enterprises overcome barriers to sourcing and preparing their data.
An informative and apolitical new book reminds us that statistics are not always what they seem.
«But for the most part, official statistics are imperfect but good enough.»
Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task
Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.
Wanna switch to a career in Artificial Intelligence? Here's what you need to know in terms of must have skills and salary expectations.
The next big thing, or just massively overhyped?
The Data50 are the bellwether data startups across the most exciting categories in data, such as AI/ML, ELT and orchestration, and data observability.
To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.
«A neural network is a little bit like a Rube Goldberg machine. You don’t know which part of it is really important.»
The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.
Discussion on an entry level data science interview question
Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Co-Founder of @HiddenDoorCo. Formerly Founder of @FastForwardLabs (acquired by @Cloudera). I ♥ data and cheeseburgers. She/her.
CTO @ Amazon
Sr Director of DS at @HelioCampus || Author of SQL for Data Scientists (Wiley) || @DataSciGuide @NewDataSciJobs || @paix120 || Not views of employer || she/her
KD stands for Knowledge Discovery. Covering #DataScience #MachineLearning #AI #Analytics. Edited by @mattmayo13. Founded by Gregory Piatetsky-Shapiro.
Part of the DSC Community and TechTarget, our focus is on data science, ML, AI, deep learning, dataviz, Hadoop, IoT and BI.
A Medium publication sharing concepts, ideas, and codes. Share your insights and projects with like-minded readers: http://bit.ly/write-for-tds.
We're a community of millions of people who are building new skills and getting new jobs together. A 501(c)(3) public charity. Tweets by @abbeyrenn.
Big ideas in science and math. Because you want to know more. Launched by @SimonsFdn. 2022 Pulitzer Prize in Explanatory Reporting. http://quantamagazine.org
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