The real driver of #MachineLearning innovation is the need to build ever more useful products: https://
linkedin.com/posts/damienbe
nveniste_machinelearning-datascience-artificialintelligence-activity-7057378198384181248-FlJ7
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#RecSys #Martech #BigData #Analytics #DataScience #AI #DataScientists #DeepLearning #NeuralNetworks
MACHINE LEARNING
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Machine Learning Innovation Driven by Building Useful Products
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97 Things About Ethics for Data Science Professionals
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97 Things About Ethics Everyone in #DataScience Should Know: https://
linkedin.com/posts/shroff-p
ublishers–distributors-pvt-ltd_ethicsinai-dataethics-datascience-activity-7057626511067021313-Tbh5
… via @billfranksga @OReillyMedia ————
#DataLiteracy #DataEthics #BigData #AI #MachineLearning #DataScientists -
Stay Updated with 27 Essential AI Tools and Technologies
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Stay on top of AI with these 27 #AI tools: https://
linkedin.com/posts/ruben-ha
ssid_artificialintelligence-ai-technology-activity-7057333561044914176-k4X9
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#artificalintelligence #DataScience #DataScientists #MachineLearning #DeepLearning #NLProc #ComputerVision #ChatGPT -
New Book on Data Analysis for Social Science Recommended
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Excellent new book “Data Analysis for Social Science: A Friendly and Practical Introduction” by @ellaudet See it here: http://
amzn.to/3EHhf2w Learn all about it in this very informative thread: https://
x.com/ellaudet/statu
s/1597567265607933952?s=46&t=KCdT-0P1tmkjJakYDnaePw
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#Rstats #Statistics #DataScience #DataLiteracy #ML -
Gradient Descent Creates Complexity, Not Humans
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The complicated parts aren't created by humans, they're created by gradient descent.
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14 Different Types of Learning in Machine Learning
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14 Different Types of Learning in Machine Learning: https://
machinelearningmastery.com/types-of-learn
ing-in-machine-learning/
… by @TeachTheMachine =====
#BigData #DataScience #Statistics #ML #MachineLearning #DeepLearning #Mathematics #Python #Coding #DataScientists #100DaysOfCode -
Calculate Precision, Recall, F1 for Deep Learning Models
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How to Calculate Precision, Recall, F1 and more for #DeepLearning Models: https://
machinelearningmastery.com/how-to-calcula
te-precision-recall-f1-and-more-for-deep-learning-models/
… by @TeachTheMachine =====
#BigData #DataScience #Statistics #ML #MachineLearning #Mathematics #Python #Coding #DataScientists #100DaysOfCode -
Apache Spark to Lakehouse ML: MLOps Community Podcast
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From the origins of #ApacheSpark to the concept of #Lakehouse ML, there are tons of great pieces of knowledge in this episode of the @mlopscommunity podcast! Check out the full convo between @matei_zaharia and @Dpbrinkm
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94 Million Embedded Passages Across 10 Languages
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4/ Languages included: English, German, French, Spanish, Italian, Japanese, Arabic, Chinese (Simplified), Korean, and Hindi. That's a total of 94 million embedded passages!
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Cohere Multilingual Embeddings Index Wikipedia Articles
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2/ What's inside? Using Cohere's Multilingual embedding model, we've embedded millions of Wikipedia articles in multiple languages. Each article is broken down into passages, with an embedding vector calculated for each passage.