At Indiegogo for $259 you can buy an autoblow sex toy, which, using machine learning, will show you "the best blowjob practices of the world" (10 modes), the main thing is to plug it into a power outlet.
And now for the really nice part:
A documentary made by the company says that the system was trained mainly by people.
A group of people in Serbia was instructed to sit on Pornhub for hours and use a special browser plug-in to capture the rhythm of how this happens on video.
No comment🍆
And now for the really nice part:
A documentary made by the company says that the system was trained mainly by people.
A group of people in Serbia was instructed to sit on Pornhub for hours and use a special browser plug-in to capture the rhythm of how this happens on video.
No comment🍆
Apache Spark is the major talking point in Big Data pipelines, boasting performance 10-100x faster than comparable tools. But how achievable are these speeds if you use a slow Python interpreter?
https://luminousmen.com/post/spark-tips-dataframe-api
https://luminousmen.com/post/spark-tips-dataframe-api
When the p-values hack you we need to go deeper
https://youtu.be/UXd0EDy7aTY
https://youtu.be/UXd0EDy7aTY
YouTube
2018 AnacondaCON
Pyception
Building an AWS Serverless ML Pipeline with Step Functions
https://tech.olx.com/building-an-aws-serverless-ml-pipeline-with-step-functions-b39feed12bab
#aws
https://tech.olx.com/building-an-aws-serverless-ml-pipeline-with-step-functions-b39feed12bab
#aws
Medium
Building an AWS serverless ML pipeline with Step Functions
Warning: this article does not intend to compare AWS Step Functions with other workflow processing engines (e.g. airflow). Please refer to…
Existing ML platform architectures:
Stanford’s DAWN
Uber’s Michelangelo
Facebook’s FBLearner Flow
Google’s TFX
Netflix
Airbnb's Bighead
DataBricks’ MLflow
#big_data #ml
Stanford’s DAWN
Uber’s Michelangelo
Facebook’s FBLearner Flow
Google’s TFX
Netflix
Airbnb's Bighead
DataBricks’ MLflow
#big_data #ml
Cool list of pandas tricks by Kevin Markham
https://www.dataschool.io/python-pandas-tips-and-tricks/
#python
https://www.dataschool.io/python-pandas-tips-and-tricks/
#python
Twitter
Kevin Markham (@justmarkham) | Twitter
The latest Tweets from Kevin Markham (@justmarkham). I make it easier for you to learn Data Science by explaining complex topics simply 💡 Founder of Data School 🎓 Courses: https://t.co/sNuh0cFUSj. Asheville, NC
Services by type in various clouds and on-premises.
The picture from the beginning of 2019 is useful for finding similar services in different clouds.
For those who work only with AWS and consider it the leader (which it is), it may be a revelation that the range of services in Azure is larger (true story).
#aws
The picture from the beginning of 2019 is useful for finding similar services in different clouds.
For those who work only with AWS and consider it the leader (which it is), it may be a revelation that the range of services in Azure is larger (true story).
#aws
The poem about what it feels like to be an impressionist
https://twitter.com/Sham00k/status/1180687344543916032
#stuff
https://twitter.com/Sham00k/status/1180687344543916032
#stuff
Twitter
SHAM00K
Taking @jimrossmeskimen 's already incredible impressions to the next level! Is this the future of impressions? @Nick_Offerman @BryanCranston #RobertDeNiro #GeorgeClooney #JackNicholson #DrPhil #Arnold #deepfake #impression #deepfakes #creepy #sham00k ht…
Python 3.8 is out
Good feature is
For more check out the presentation or go to official docs.
#python
Good feature is
importlib.metadata all the others are garbage. Positional-only arguments I consider a dangerous feature, I can't imagine ever use it. When the time comes and we will remove all useless crap from Python? Then there would be a great language.For more check out the presentation or go to official docs.
#python
Speaker Deck
What's new in Python 3.8?
These Python Interview Questions will make sure that you will be ready for the next Python interview
Python interview questions. Part I. Junior
Python interview questions. Part II. Middle
Python interview questions. Part III. Senior
Python interview questions. Part I. Junior
Python interview questions. Part II. Middle
Python interview questions. Part III. Senior
Blog | iamluminousmen
Python Interview Questions. Part I. Junior
Get ready for your Junior Python interview with essential questions covering basics, data types, OOP, modules, coding challenges, and more in this comprehensive Python Interview Questions Part I.
Modules and Packages: Live and Let Die! — David Beasley's insane three-hour presentation about the construction of modules, packages and import systems in Python. Everything is pretty comprehensive, from the very basics to the internals with examples.
Recommended👌
#python
Recommended👌
#python
