Hey bitgriter,
It's been a hectic time around the office as things have been heating up all over the data science world. New releases, new competitions, and even new job opportunities are popping up like daisies. So, sit back and savor this extra-beefy edition of Deep Grit.
Enjoy!
-Team bitgrit
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Right Here
For our NEW competition, scientists have determined that a known species of bird should be divided into 3 distinct and separate species.
A non-profit conservation society has taken up the task. They need to be able to log which species they have encountered based on the characteristics that their field officers observe in the wild.
Using certain genetic traits and location data, can you predict the species of bird that has been observed?
Competition Start
18/05/2022
Prizes
This is a learning competition. Aside from knowledge (and bragging rights), there is no monetary prize at stake.
Will you answer the call?
Sign up now and upload your submissions!
If you have any questions, please contact us at info@bitgrit.net
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For the Birds
We've prepared a beginners guide notebook that walks you through step by step on how to make your first submission to the Bird Species Classification Challenge!
It covers:
- Exploratory Data Analysis
- Dealing with missing data
- Feature preprocessing and engineering
- Building a simple Decision Tree Classifier
You can find the guide under the "Resources" section of the Bird Species Classification Challenge competition.
More information can be found in the guidelines.
Join Today!
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Work the World
The bit Job Board has a brand NEW look with improved functionality. Find the role that you've been looking for in a place built by data science for the IT field.
Build your own personal roadmap to a dream career with bitgrit.
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Upcoming Events
Mind the Gap - From the Alpha to the Omega of a DS Project
From the moment you start cleaning your data, everything is gravy. You can code your way around blindfolded. But how do you get the actual party started and what happens after you set your model to work?
In the month of June, join us for a webinar that focuses on the Before & After of data science projects.
Learn pre-production strategy and problem evaluation from an amazing IT crowdsourcing platform and finish up with a founder-led workshop on one of the fastest-growing OSS Libraries for post-deployment data.
⚡️Event Date: Thursday, June 23rd
Stayed tuned to Deep Grit and the bitgrit Meetup page for more info.
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bitgrit JOB BOARD
Calling all senior data scientists! An established Japanese software development company wants you on the team. If you have 5+ years of experience in the field and are interested in a flexible salary range APPLY now.
*VISA sponsorship available. No language restrictions.*
Do you have:
- A Bachelor's degree in science or engineering
- Strong understanding of aspects of data science including deep learning, statistical analysis, and mathematical modeling.
- Strong experience in writing software in Python for data science, using SQL or another database, and AWS.
Let us know!
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Our blog posts
Here’s the latest from our Medium blog. We cover data science, AI, cryptocurrency and more.
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NannyML
Open-source python library NannyML fights the curse of delayed performance and predicts how well your model will behave in the future - before the ground truth data is available. Check them out on Github.
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How to get AI to confuse a shark with a clam
What happens when you're trying to work with an AI that's overwhelmingly seen online examples of the thing you don't want?
Find out more here.
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Monthly Quiz
What is the curse of dimensionality?
Tweet us your answers with #deepgritquiz and we will reveal the answer in our next newsletter!
Last Month's Solutions
How would you evaluate a logistic regression model?
There are thousands of tests one can apply to inspect a logistic regression model, and much of this depends on whether one's goal is prediction, classification, variable selection, inference, causal modeling, etc.
Check out this article for examples of how to evaluate it.
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Feedback
Do you like what you see? Rate Deep Grit or send us suggestions at info@bitgrit.com
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