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Data Geek's Discussions (41)

Discussions Started (41) Replies Latest Activity

Question about connected cars

With automated cars communicating with each other (machine-to-machine communications - thus the word connected cars), could we envision the…

Started by Data Geek

1 May 19, 2016
Reply by Page Schorer

Book: Deep Learning With Python

From First Model, To State-of-the-Art Results Deep learning is the most interesting and powerful machine learning technique right now. Top…

Started by Data Geek

1 Jun 30, 2016
Reply by Patrick J. Hagan

Kaggle Releases Data Sets About Global Warming: Make your own Predictions

Analyze the data, make your own conclusions about global warming and climate change (especially predictions), and post your results in the…

Started by Data Geek

0 Apr 13, 2016

Book: Mastering Python for Data Science

About This Book Master data science methods using Python and its libraries Create data visualizations and mine for patterns Advanced tec…

Started by Data Geek

1 Jun 30, 2016
Reply by Patrick J. Hagan

Cheat sheet: data visualization in Python

We have published several cheat sheets recently, click here for the full list: they cover everything from Python to visualization, includin…

Started by Data Geek

0 Apr 13, 2016

What pays most: R, Python, or SQL?

Salary mostly depends on experience, education, location, industry, and unfortunately, factors such as gender. Also, most data scientists h…

Started by Data Geek

4 Apr 12
Reply by Richard Boire

The scariest use of machine learning

Just like nuclear physics, machine learning, AI, and data science can be used either for the better of for the worse. You can make either u…

Started by Data Geek

6 Dec 13, 2016
Reply by MI

What are the differences between prediction, extrapolation, and interpolation?

Interpolation is a mathematical technique to estimate values of an unknown function f(x) for specific arguments x in some interval [a, b],…

Started by Data Geek

9 Sep 11, 2016
Reply by Jacob Zahavi

Free Book: Probabilistic and Statistical Modeling in Computer Science

From Algorithms to Z-Scores:Probabilistic and Statistical Modeling in Computer Science. By Norm Matloff, University of California, Davis. …

Started by Data Geek

3 Jun 3, 2016
Reply by Kostyantyn Borysenko

How to design computer systems that keep data alive for 100 years?

I am just curious about how digital data is kept alive for like a hundred years. Obviously, so far, there is not a single chip or computer…

Started by Data Geek

1 Mar 14, 2016
Reply by Franz Dill

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