Twitter
Лечу на хлеборезке!
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8 hours ago
Twitter
Care for those who care about you. Don't spend your time with people that don't give a damn about you. That friend…
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yesterday
Twitter
I love it when you follow someone and 2 seconds later you get a DM offering you something. It's connect…
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yesterday
Twitter
Anyone else noticed how you’ll see more spam by looking into your Twitter DMs than if you just opened your email sp…
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yesterday
Twitter
House Buying Guide for Millennials
from twitter
yesterday
xkcd.com + Artificial Intelligence – Towards Data Science
Just to remind you, we have used comics to create a topic model. Here are the topic model vectors for each comic, and here are the topic labels (just integers) for each comic. I’ve organized stuff into a github repo for your coding pleasure.
XKCD  DataScience  TSNE 
yesterday
Twitter
Cockroaches are becoming big business in China.
from twitter_favs
2 days ago
Twitter
Here's everything you need to know about Automated Modeling space - check out our very own ’s on…
blog  from twitter_favs
2 days ago
Twitter
This new feature alone should get you jumping out of your chair - seamless integration of Turbo Prep in…
from twitter_favs
3 days ago
Twitter Sentiment Analysis using Python - GeeksforGeeks
Why sentiment analysis?

Business: In marketing field companies use it to develop their strategies, to understand customers’ feelings towards products or brand, how people respond to their campaigns or product launches and why consumers don’t buy some
products.
Politics: In political field, it is used to keep track of political view, to detect consistency and inconsistency between statements and actions at the government level. It can be used to predict election results as well!
Public Actions: Sentiment analysis also is used to monitor and analyse social phenomena, for the spotting of potentially dangerous situations and determining the general mood of the blogosphere.
Python3  SentimentAnalysis  Twitter 
3 days ago
Automated Web Scraping in R
analysis on historical data, it is not useful when wanting to use timely or frequently updated data.

Scenario: You would like to tap into news sources to analyze the political events that are changing by the hour and people’s comments on these events. These events could be analyzed to summarize the key discussions and debates in the comments, rate the overall sentiment of the comments, find the key themes in the headlines, see how events and commentary change over time, and more. You need a collection of recent political events or news scraped every hour so that you can analyze these events.
R  WebDevelopment 
3 days ago
DSC-2-julia-chicago-homicide
So what did I find? With the exception of several annoyances such as the absence of a vectorized "in" operator, I was pretty much able to mimic in Julia the programming style I used with Python/Pandas. In fact, Julia was somewhat more facile than Pandas with "by group" processing, as its functions acknowledge missing values, unlike Pandas, which ignores them.
JuliaLanguage  Python3 
3 days ago
Twitter
Current Project: Natural Language Processing of German words and creation of a WordNet with semi-super…
DataScience  from twitter_favs
4 days ago
Twitter
Stellar speakers lineup, hands-on training, and a lot of networking... that's SF! Grab your early bird ti…
H2OWorld  from twitter_favs
4 days ago
Twitter
Changing Pinboard Tags with Python
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4 days ago
Twitter
Add sentiment analysis to your monitoring!
We list all the top you need here =>…
SocialMedia  tools  from twitter_favs
4 days ago
Twitter
Congrats Leland Wilkinson of for his legendary work, Grammar of Graphics in - also homage to Tu…
DataScience  from twitter_favs
4 days ago
Twitter
New to awesome--interpretability list:
smbinning:
woe:…
MachineLearning-interpretability  from twitter_favs
5 days ago
Twitter
Teamwork makes the dream work! Congrats, team !
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5 days ago
Twitter
That's a really nice tutorial on how to use Snowflake Datawarehouse from . Great stuff.
KNIME  from twitter_favs
5 days ago
What’s New in KNIME Analytics Platform 3.7 and KNIME Server 4.8 | KNIME
KNIME has had good support for calling/using Python for a while now, and we continue to improve it. For v3.7 we have added support for importing and running code from Jupyter notebooks. So now your code can stay in Jupyter but still be used from within your KNIME workflows; you no longer need to copy/paste code between the notebook and KNIME.
KNIME  DataScience 
5 days ago
‘Hyperalarming’ study shows massive insect loss - The Washington Post
In 2014, an international team of biologists estimated that, in the past 35 years, the abundance of invertebrates such as beetles and bees had decreased by 45 percent. In places where long-term insect data are available, mainly in Europe, insect numbers are plummeting. A study last year showed a 76 percent decrease in flying insects in the past few decades in German nature preserves. - THIS SCARES THE CRAP OUT OF ME.
Ecology  ClimateChange  Environment 
5 days ago
Twitter
Let's take a look under the hood of the now available Azure Machine Learning service w/ added support for popular o…
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5 days ago
Twitter
Let's take a look under the hood of the now available Azure Machine Learning service w/ added support for popular o…
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5 days ago
mariostoev/finviz: Unofficial API for finviz.com
Finviz.com aims to make market information accessible and provides a lot of data in visual snapshots, allowing traders and investors to quickly find the stock, future or forex pair they are looking for. The site provides advanced screeners, market maps, analysis, comparative tools and charts.
FinViz  Python3 
6 days ago
Twitter
This is really cool. Many data scientists love using Jupyter. I’m going to see how did this!!!
KNIME  from twitter
6 days ago
Twitter
IT'S MONDAY, ONLY ROBOCOP ON A UNICORN CAN SAVE US!!!
from twitter
6 days ago
Twitter
Automate Feed Extraction and Posting it to Twitter
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6 days ago
Twitter
Zürich, Schweiz: I AM IN YOU!!!
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6 days ago
Monologue of the Algorithm: how Facebook turns users data into its profit on Vimeo
Does Facebook identify and manipulate your feelings? Is it able to recognize your personality type, habits, interests, political views, level of income? Does it use all the information in order to reach us with personalized ads or sponsored content? You bet! Mark Zuckerberg's empire is based on analysing the digital dandruff that we leave behind on the Internet, transforming it into a valuable consumer profiles and selling it to advertisers. In this factory we are not even a product - we are just a human biomass, which only gains value after being shaped and worked on by algorithm. How exactly does it work? Take a look. - THIS IS TRUE AND SCARY!
Facebook  Privacy 
7 days ago
Twitter
You will not remember how much money you made throughout your career.

However, you will remember every single pers…
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7 days ago
Twitter
No we don't. And it's a good thing they don't know that.

I don't know how I'd take it if I was forc…
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7 days ago
Twitter
My son: “Thanks for holding me. I’m gonna start falling asleep now...”
* I put him down...
* 1 min later...
My son:…
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8 days ago
Twitter
Been cranking out posts and scheduling the ahead. Feels great to do that. Right now I'm one week ahead and I hope t…
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9 days ago
Twitter
Flux: A Machine Learning Framework for Julia
from twitter
9 days ago
Automatic Differentiation for the Greeks - Wilmott
Julia is modern, high-performance programming language aimed at numerical computing. In particular, it has several features which make it appealing for use with AD:
JuliaLanguage  AutomaticDifferentiation  Greeks 
9 days ago
Twitter
Be Fearful Before Others Are Fearful And Less Greedy In General - fresh on my blog $spy…
from twitter_favs
9 days ago
Be Fearful Before Others Are Fearful And Less Greedy In General - Howard Lindzon
Be Fearful Before Others Are Fearful And Less Greedy In General - fresh on my blog $spy…
from twitter_favs
9 days ago
Home · Flux
Flux is a library for machine learning. It comes "batteries-included" with many useful tools built in, but also lets you use the full power of the Julia language where you need it. We follow a few key principles:

Doing the obvious thing. Flux has relatively few explicit APIs for features like regularisation or embeddings. Instead, writing down the mathematical form will work – and be fast.
You could have written Flux. All of it, from LSTMs to GPU kernels, is straightforward Julia code. When in doubt, it’s well worth looking at the source. If you need something different, you can easily roll your own.
Play nicely with others. Flux works well with Julia libraries from data frames and images to differential equation solvers, so you can easily build complex data processing pipelines that integrate Flux models.
JuliaLanguage  Flux  MachineLearning 
9 days ago
Twitter
Julia vs Python: Which programming language will rule machine learning in 2019? - TechRepublic

Read more here:…
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9 days ago
Twitter
As I speak with users, data privacy is a huge concern to everyone. This is actually very nice to hear people…
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9 days ago
Twitter
Wow... AlphaZero (artificial neural network) just smashed Stockfish (open source, community run, best engine based…
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9 days ago
Twitter
An ode to the creative people, don't let the world get you down and think about how you empower the future generati…
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10 days ago
Twitter
Yup, it's amazing what you can do with AWS, a little bit of elbow grease, and living in a low cost area…
from twitter
10 days ago
Twitter
This is key. If an algo identifies you as a Terrorist and you're not, how do you appeal? Your data point will be fo…
from twitter
10 days ago
Twitter
You want C++ or Java if you need speed. Like HFT, but I suspect you just wand to codify your 'rules', like…
from twitter
10 days ago
Facebook workers turn on Zuckerberg: Founder and CEO could be forced out | Daily Mail Online
Amid the anger, Zuckerberg was forced to defend himself on Wednesday night, saying in a lengthy Facebook post that the company 'never sold anyone's data'. - OF COURSE NOT, THEY JUST MONETIZED IT FOR RENT
Facebook 
10 days ago
Twitter
I spit my water on this one! LOL!
from twitter
10 days ago
Twitter
Mine are too. They're aware that they're going to be part of a generation that's going to see mass ext…
from twitter
10 days ago
10 Reasons to Learn Python in 2018 – Hacker Noon
On average also, they are very good paying, ranging from 70,000 USD to 150,000 USD depending upon their experience, location, and domain.
Python  Java  C++ 
10 days ago
Twitter
This was a great read. The evolution of looks like warp speed.
DriverlessAI  makersgonnamake  from twitter
10 days ago
The Making of H2O Driverless AI - Automatic Machine Learning - Open Source Leader in AI and ML
The only guidance for the development team was:

use existing open source projects (not just those written by H2O.ai)
if something is missing, create it and open source it
H2Oai  DriverlessAI 
10 days ago
Twitter
Celebrating the new release of at our HQ in Mountain View today! We are thankful to all the a…
makers  DriverlessAI  from twitter_favs
10 days ago
Receiver Operating Characteristic Curves Demystified (in Python)
While ROC curves are common, there aren’t that many pedagogical resources out there explaining how it is calculated or derived. In this blog, I will reveal, step by step, how to plot an ROC curve using Python. After that, I will explain the characteristics of a basic ROC curve.
Python  DataScience 
10 days ago
Twitter
I'm poking around with my blog statistics and loading them into . The time series capabilities have gr…
DriverlessAI  from twitter
11 days ago
Why Automated Feature Engineering Will Change the Way You Do Machine Learning
Automated feature engineering is a relatively new technique, but, after using it to solve a number of data science problems using real-world data sets, I’m convinced it should be a standard part of any machine learning workflow. Here we’ll take a look at the results and conclusions from two of these projects with the full code available as Jupyter Notebooks on GitHub.
DataScience  FeatureEngineering  Jupyter 
11 days ago
Twitter
RT : Yet another new feature in - a new tree API for inspecting tree-based models. giving an…
H2O  from twitter
11 days ago
Twitter
Agree. 100%. Always be creating, always been learning.
from twitter
11 days ago
Twitter
. is a bad ass. 'We Have Not Come Here to Beg World Leaders to Care,' 15-Year-Old Greta Thunberg Tell…
from twitter
11 days ago
Twitter
It's official: reached 100,000 followers early this morning! Let's break out the happy dance and celebrate…
from twitter_favs
11 days ago
COMMENT: Is Python really the best language for data science in finance? | eFinancialCareers
Python’s syntax is very terse (just think of list comprehensions!), yet natural and readable. It’s hardly surprising that Python is often the data scientist’s weapon of choice.

Software engineers (rather than data scientists), who develop large, robust, industrial-grade software systems, will probably exclaim at this stage: but Python is slow and unsafe! Slow, because the Global Interpreter Lock (GIL) prevents multiple threads from executing Python bytecode at once. Unsafe, because Python is dynamically, rather than statically, typed, and lacks the compile-time type checks that prevent users from running nonsensical code - the type checks that would be afforded by the stipulation of data types in function signatures.
Python  Finance  Java  C++  JuliaLang 
11 days ago
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