Working or want to work in #MachineLearning in the #enterprise / #industry ?
Here are 10 things to keep in mind for building #ML solutions in the enterprise.
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A very engaging poster session at #SciPy2022 yesterday. Had a great time talking to everyone. Thanks for dropping by!
Onto day-2 of the main conference @SciPyConf !
A #DataScience role may involve conversing with non-technical and non-statistical business #stakeholders to explain your model's output, why and what it is doing, and why it is a good solution for the business.
In industrial applications of #DataScience, #ModelComplexity, #ModelExplainability, efficiency, and ease of deployment play a large role, even if that means you're settling for a slightly less accurate model. This is even more common for first-time baseline models.
A popular focus of the majority of #DataScience courses, degrees, and online competitions is on creating a model that has the highest accuracy / best fit. On the contrary, model accuracy may not be the most or only important factor in the industry.
Curious about applications of #NLP#NaturalLanguageProcessing across different industries? I'll be talking at @pythonwebconf on 21st March at 8am Pacific Time / 11am Eastern Time. Tune in if you want to learn about implementing popular applications with #Python & #OpenSource.
The PyDev of the Week is Jyotika Singh! Jyotika is the maintainer of pyAudioProcessing and a speaker at multiple conferences.
Check out the full interview over @mousevspython to see what else Jyotika has been up to!
https://t.co/ROT2uG5VIu @JyotikaSingh_#Python
If you are new to #MachineLearning seeking opportunities in the field but don't have work experience, working on #ML projects will be helpful. It will help enhance your understanding and give you something you can put on your resume & talk about in interviews.
#HappyLearning
Speaking at a new time now on 10th June at 12.10pm PDT (3.10pm EDT). https://t.co/QeQQoCU09H
Giveaway: I've got two tickets to the Women Tech Global Conference 2022!
Interested individuals- please reach out. First come first serve.
#ArtificialIntelligence#DataScience#WTGC2022
Lots of datasets available at https://t.co/ObKExLm1Om
#Python libraries to help you get started:
@scikit_learn for #ML models (check out their examples to understand usage) https://t.co/aOCQIXK1V4, and numpy @numpy_team and pandas for data manipulation.