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The #MLcode is only a small part of the puzzle... bridging the gap from POC to Production requires a lot more work - @AndrewYNg #NASSCOMXperienceAI
LeetCode is your best friend 😊 #programmingtip #codinginterviews #MLcode
Day50,51,52: Built model which predicts cat or dog for given image with pretty good accuracy applying Cnn, it was first time i processed that amount of data in terms of preprocessing. It tooked 10hrs to process which was longer but can be improved using GPU.#100DaysOfCode #mlcode
@xLaszlo is joining our next #MLOps Live Q&A to share his experience on writing clean, production-level #MLcode.
Day 24: Performed sentimental analysis on some public chats of social media , interesting to learn bit different libraries and their applications, as it is part of our academics applied and implemented successfully, will continue with clustering tomorrow. #100daysOfCode #MLcode
Day 35: Break was little extended due to academic exams, continued with reinforcement learning, in that performed thompson sampling algo where major difference in UCB and thompson sampling was probabilistic approach and calculations with random library. #100DaysOfCode #MLcode
Day 22: As i failed to mention yesterday, decision tree classifies by spliting observations while training the model, i applied it model showed me overfiting case, kudos as now i have good idea about several classifiers to apply on various datasets. #100DaysOfCode #MLcode
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I have used "assert False" far too many times, for debugging purposes ; ) #MLcode
Day 3 of #100DaysofMLCode. Spent days 1 and 2 working on PyTorch models and @fastdotai v1. Figured out how to speed up my dataloader 3x. Simply had to resize my images from 1024x1024 to 340x340 and store them on disk. Simple fix! #MLCode #100DaysofMLCode
At this point, I'm thinking #100DaysofMLCode is becoming more of a daily #MLCode. Which I believe is exactly the point - to familiarize & keep practicing ML / deep learning on a daily basis. Lucky to have a job that enables this.
Build best-in-class Machine Learning applications using drag-and-drop processors in #Sparkflows and make data driven decisions in real time. Download a free 90 day trial version to kickstart your journey. sparkflows.io/download #lowcode #ml #DataScience #mlcode
Yesterday shaped me. Today, I showed up stronger. RCB’s win reminded me — perseverance pays off 🏆🔥 Back to ML coding 🤖, one line at a time. Not chasing perfection ✨ Just staying consistent 🧠💻 #TheRisingGeek #MLCode #RCBinspo
"Unit testing machine learning models isn't like regular code! Drop the mocking madness and test the actual model. Learn the difference or fail! #MachineLearning #UnitTesting #MLCode" eugeneyan.com/writing/unit-t…
I'll continue the pledge for #100DaysOfMLCode, however I don't count it by exact days since I believe everyday is #MLCode day for me 😁 anyway looking forward to more GANs & RL this year!
LeetCode is your best friend 😊 #programmingtip #codinginterviews #MLcode
Data scientists: Uncover how writing #GlueCode detracts from your overall mission and helpful ways to shed this burden when working on data science and ML projects: | bit.ly/3EwbCUU | #MachineLearning #MLCode
@xLaszlo is joining our next #MLOps Live Q&A to share his experience on writing clean, production-level #MLcode.
Improve Productivity Using ML-Enhanced Code Completion #PythonDevelopmentCompany #PythonDevelopment #mlCode #ImproveProductivity bit.ly/3e999X8
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at sparkflows.io/post/models-in… #apachespark #lowcode #mlcode #sparkML
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at sparkflows.io/post/models-in… #apachespark #lowcode #mlcode #sparkML
How to build a recommendation engine? Our short #Youtube video shows how fast it is to start implementing one today. Watch at youtu.be/_aWdFKtk60k #ml #mlcode #datascience #MachineLearning
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at sparkflows.io/post/models-in… #apachespark #lowcode #mlcode #sparkML
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at sparkflows.io/post/models-in… #apachespark #lowcode #mlcode #sparkML
How to build a recommendation engine? Our short #Youtube video shows how fast it is to start implementing one today. Watch at youtu.be/_aWdFKtk60k #ml #mlcode #datascience #MachineLearning
The #MLcode is only a small part of the puzzle... bridging the gap from POC to Production requires a lot more work - @AndrewYNg #NASSCOMXperienceAI
@xLaszlo is joining our next #MLOps Live Q&A to share his experience on writing clean, production-level #MLcode.
Day50,51,52: Built model which predicts cat or dog for given image with pretty good accuracy applying Cnn, it was first time i processed that amount of data in terms of preprocessing. It tooked 10hrs to process which was longer but can be improved using GPU.#100DaysOfCode #mlcode
Day 35: Break was little extended due to academic exams, continued with reinforcement learning, in that performed thompson sampling algo where major difference in UCB and thompson sampling was probabilistic approach and calculations with random library. #100DaysOfCode #MLcode
Day 22: As i failed to mention yesterday, decision tree classifies by spliting observations while training the model, i applied it model showed me overfiting case, kudos as now i have good idea about several classifiers to apply on various datasets. #100DaysOfCode #MLcode
Day 24: Performed sentimental analysis on some public chats of social media , interesting to learn bit different libraries and their applications, as it is part of our academics applied and implemented successfully, will continue with clustering tomorrow. #100daysOfCode #MLcode
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at sparkflows.io/post/models-in… #apachespark #lowcode #mlcode #sparkML
Want to integrate custom models written outside of Sparkflows. We got you covered on that too using our easy and intuitive "Custom Node" processor. Read more about it at sparkflows.io/post/custom-no… #analytics #mlcode #sparkflows
How to build a recommendation engine? Our short #Youtube video shows how fast it is to start implementing one today. Watch at youtu.be/_aWdFKtk60k #ml #mlcode #datascience #MachineLearning
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