Implemented #NeuralNetworks Projects: https://
medium.com/coders-mojo/im
plemented-neural-networks-projects-d25a6476d72b
… compiled by @NainaChaturved8 ————
#DataScience #DataScientists #AI #Coding #Python #MachineLearning #DeepLearning ————
Also see below the repository of 60+ implemented Applied ML Projects with code…
MACHINE LEARNING
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Implemented Neural Networks Projects and Applied Machine Learning Repository
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Data Preprocessing: The Foundation of Data Science Solutions
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#Data preprocessing –The foundation of #DataScience solution
by Shehryar Mallick @DataScienceDojo Read more: https://
buff.ly/47Tuf2h #DataScientists #ArtificialIntelligence #MI #MachineLearning cc: @pascal_bornet @yvesmulkers @kuriharan -
Brain Learning Mechanisms Mirror Computational Models
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The brain may learn about the world the same way some computational models do
by Anne Trafton @MIT Read more: https://
buff.ly/49rILjc #BigData #MachineLearning #ML #MI #DataScience cc: @pbalakrishnarao @bigdata @rtehrani -
AI Models Learn Faster With Less Training Data
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Doubt it. As models get smarter, less data will be needed to teach them new things. So if today, it takes millions of examples to teach it a new language, a couple years from now, it may only need a few thousand.
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High-Quality Data Training for AI Models
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Really good data with that style. You don’t need a ton of it (few hundred examples is totally fine), just make sure it’s really high-quality.
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Zipline Unveils New Aerial Delivery Drone Technology
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Zipline unveiled a new Aerial Delivery Drone
— Ronald van Loon (@Ronald_vanLoon) 23 mars 2024
by @CNET#ArtificialIntelligence #AI #MachineLearning #Drone #Tech #Innovation
cc: @bigdata @yvesmulkers @kuriharan pic.twitter.com/y52POOad7uZipline unveiled a new Aerial Delivery Drone by @CNET #ArtificialIntelligence #AI #MachineLearning #Drone #Tech #Innovation cc: @bigdata @yvesmulkers @kuriharan
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Axolotl and Mistral for Synthetic Data Generation
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Axolotl. Fucking awesome. Shoutout to @winglian
. For synthetic data, Mistral models are great. Pair that with some real-world data for grounding/diversity/inspiration for good results. @csahil28 is building an even better solution here. Costs depend on the task at hand. Can be -
Pre-training vs Fine-tuning: Learning Strategies in AI Models
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When you’re pre-training, you basically learn from everything in the dataset. When fine-tuning, you often only want the model to learn from the text in the output, not the prompt itself.
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The Little Book of Deep Learning by Kirk D. Borne
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The Little Book of #DeepLearning
by @KirkDBorne Read more: https://
buff.ly/42dUTQa #ArtificialIntelligence #ML #MachineLearning cc: @ravikikan @yvesmulkers @pbalakrishnarao