#featureengineering 搜索结果

#VrtrEX Daily Contract Knowledge Point (New Issue 111) 💡 Topic: Feature Engineering in AI Quantization 🔹 Different features determine the model's "mindset" 🔹 Precisely selecting metrics to improve prediction accuracy #VrtrEX #FeatureEngineering #AIQuantization

VrtrexCom's tweet image. #VrtrEX Daily Contract Knowledge Point (New Issue 111)

💡 Topic: Feature Engineering in AI Quantization

🔹 Different features determine the model's "mindset"

🔹 Precisely selecting metrics to improve prediction accuracy

#VrtrEX #FeatureEngineering #AIQuantization

Feature engineering is the secret sauce for strong machine learning in healthcare. Choosing and shaping the right data points can greatly boost model performance. #MachineLearning #FeatureEngineering #HealthcareAnalytics #ClinicalData #DataScience


🚀 Feature Engineering in Machine Learning — The Game Changer! Raw data alone doesn’t drive results — smart features do. 📚 Ready to build your ML career? DM “ML” to get started! #MachineLearning #FeatureEngineering #DataScience #SkillsSetu #AICourse #MLModels

skillssetu's tweet image. 🚀 Feature Engineering in Machine Learning — The Game Changer!

Raw data alone doesn’t drive results — smart features do.

📚 Ready to build your ML career?
DM “ML” to get started!

#MachineLearning #FeatureEngineering #DataScience #SkillsSetu #AICourse #MLModels

🚀 New Post: Boost Models Unlock model potential with expert feature engineering techniques.... 🔗 Read more: kubaik.github.io/boost-models #FeatureEngineering #MachineLearning #WomenWhoCode #AIModeling #coding


So the next phase of my project is experimenting with feature ideas and measuring how each affects ROC-AUC. Small, steady improvements, that’s how real performance is built. Progress > Perfection 💪🔥 #MachineLearning #FeatureEngineering #Kaggle #DataScience #AIJourney


Vertex AI unifies feature engineering across BigQuery, Cloud Storage & orchestration for reliable ML pipelines. #VertexAI #FeatureEngineering #MachineLearninghttps://zilliz.com/ai-faq/how-does-vertex-ai-support-custom-container-training


#VrtrEX Daily Contract Knowledge Point (New Issue 111) 💡 Topic: Feature Engineering in AI Quantization 🔹 Different features determine the model's "mindset" 🔹 Precisely selecting metrics to improve prediction accuracy #VrtrEX #FeatureEngineering #AIQuantization

VrtrexCom's tweet image. #VrtrEX Daily Contract Knowledge Point (New Issue 111)

💡 Topic: Feature Engineering in AI Quantization

🔹 Different features determine the model's "mindset"

🔹 Precisely selecting metrics to improve prediction accuracy

#VrtrEX #FeatureEngineering #AIQuantization

So the next phase of my project is experimenting with feature ideas and measuring how each affects ROC-AUC. Small, steady improvements, that’s how real performance is built. Progress > Perfection 💪🔥 #MachineLearning #FeatureEngineering #Kaggle #DataScience #AIJourney


🚀 New Post: Boost Models Unlock model potential with expert feature engineering techniques.... 🔗 Read more: kubaik.github.io/boost-models #FeatureEngineering #MachineLearning #WomenWhoCode #AIModeling #coding


Feature engineering is the secret sauce for strong machine learning in healthcare. Choosing and shaping the right data points can greatly boost model performance. #MachineLearning #FeatureEngineering #HealthcareAnalytics #ClinicalData #DataScience


未找到 "#featureengineering" 的结果

#FeatureEngineering allows us to transform raw data into detection by extracting features like elevation, slope & mineral composition from the ground. By combining them with chemical analysis, we can predict #emerald presence more efficiently!💎 Read.

theemeraldco's tweet image. #FeatureEngineering allows us to transform raw data into detection by extracting features like elevation, slope & mineral composition from the ground.

By combining them with chemical analysis, we can predict #emerald presence more efficiently!💎

Read.

Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.

dsaic_dekut's tweet image. Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.
dsaic_dekut's tweet image. Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.
dsaic_dekut's tweet image. Our very own @maryk_analyst took us through the techniques and strategies for data transformation under our topic of the week #FeatureEngineering. She's completing her degree in #BBIT, and yes, she's a good teacher/coach/guide/instructor.

"Soledad Galli provides a comprehensive guide to feature engineering in Python" --Russell Pollari, CEO of SharpestMinds Pick up the book here: packt.link/j3T5H #MachineLearning #FeatureEngineering #Python #Tensforflow #Pytorch

PacktPublishing's tweet image. "Soledad Galli provides a comprehensive guide to feature engineering in Python" --Russell Pollari, CEO of SharpestMinds
Pick up the book here: packt.link/j3T5H
#MachineLearning #FeatureEngineering #Python #Tensforflow #Pytorch

#FeatureEngineering in Practice — Approaching (Almost) Any #MachineLearning Problem! ⬇️ Get book: amzn.to/2XJUczh by @abhi1thakur (4X @Kaggle Grandmaster) -or- Download PDF copy: github.com/abhishekkrthak… ————— #BigData #AI #DataScience #DataScientists #DeepLearning #Python

KirkDBorne's tweet image. #FeatureEngineering in Practice — Approaching (Almost) Any #MachineLearning Problem!
⬇️
Get book: amzn.to/2XJUczh by @abhi1thakur (4X @Kaggle Grandmaster)
-or-
Download PDF copy: github.com/abhishekkrthak…
—————
#BigData #AI #DataScience #DataScientists #DeepLearning #Python

🚀 Built an AI agent using CrewAI and llama-3.3-nemotron-super-49b-v1 for feature engineering! It suggests new features & writes Python code—saving hours for data scientists. Want to see it in action? Drop a 🔥! 💡 #AI #DataScience #featureengineering

Data_Prof_SXR's tweet image. 🚀 Built an AI agent using CrewAI and llama-3.3-nemotron-super-49b-v1 for feature engineering! It suggests new features & writes Python code—saving hours for data scientists. 

Want to see it in action? Drop a 🔥!

💡 #AI #DataScience #featureengineering

Happy Friday! #ICYMI we have added @bytewax to show the streaming side of our "write once & run anywhere" #featureengineering example. With Hamilton you can have a whole feature + #ML pipeline set up & easily change what you need to execute for #batch, #streaming, & #online. 1/3

hamilton_os's tweet image. Happy Friday!
#ICYMI we have added @bytewax to show the streaming side of our "write once & run anywhere" #featureengineering example.

With Hamilton you can have a whole feature + #ML pipeline set up & easily change what you need to execute for #batch, #streaming, & #online. 1/3

Happy Tuesday! Exciting new writeup on #featureengineering with #hamiltonos. We discuss how you can use hamilton to share code between batch and online contexts, making well-organized, extensible, and consistent feature pipelines. blog.dagworks.io/p/feature-engi…

hamilton_os's tweet image. Happy Tuesday! Exciting new writeup on #featureengineering with #hamiltonos. We discuss how you can use hamilton to share code between batch and online contexts, making well-organized, extensible, and consistent feature pipelines.

blog.dagworks.io/p/feature-engi…

Both Pandas and Polars are robust data manipulation tools, but their syntaxes differ subtly. Polars tends to use more explicit, verb-based methods, while Pandas leverages more concise bracket notation. #DataScience #pandas #FeatureEngineering #DataPreprocessing

KhuyenTran16's tweet image. Both Pandas and Polars are robust data manipulation tools, but their syntaxes differ subtly. Polars tends to use more explicit, verb-based methods, while Pandas leverages more concise bracket notation.

#DataScience #pandas #FeatureEngineering #DataPreprocessing

Happy Tuesday! 🗞️ News: New Release 1.55.0 is out! 🎉 New user contributed @DataPolars materializers. 📚 Documentation updates: Hamilton vs @dagster vs @ApacheAirflow 🎥 Recordings on building a #FeatureCatalog & #FeatureEngineering More in thread... 1/n

hamilton_os's tweet image. Happy Tuesday! 
🗞️ News: New Release 1.55.0 is out! 
🎉 New user contributed @DataPolars materializers.
📚 Documentation updates: Hamilton vs @dagster vs @ApacheAirflow 
🎥 Recordings on building a #FeatureCatalog & #FeatureEngineering

More in thread... 1/n

[対談動画公開] dotData社CEOの藤巻遼平氏と弊社CSO 鈴木いっぺいとの対談動画です。 #生成ai #featureengineering hubs.ly/Q02gSNLX0

creationline's tweet image. [対談動画公開]
dotData社CEOの藤巻遼平氏と弊社CSO 鈴木いっぺいとの対談動画です。
#生成ai
#featureengineering
hubs.ly/Q02gSNLX0

🧹 Data Preprocessing = prepping your canvas before the ML masterpiece 🎨 From cleaning to scaling, it's the unsung hero behind great models. 🔗 linkedin.com/in/octogenex #ML #DataPreprocessing #FeatureEngineering

octogenex's tweet image. 🧹 Data Preprocessing = prepping your canvas before the ML masterpiece 🎨 From cleaning to scaling, it's the unsung hero behind great models. 🔗 linkedin.com/in/octogenex #ML #DataPreprocessing #FeatureEngineering

🍳 Feature Engineering = the secret sauce of ML! Transform raw data into smart features to unlock better predictions. Mix, create, and elevate your model’s flavor! 🔗 linkedin.com/in/octogenex #FeatureEngineering #ML #AI #DataTransformation

octogenex's tweet image. 🍳 Feature Engineering = the secret sauce of ML! Transform raw data into smart features to unlock better predictions. Mix, create, and elevate your model’s flavor! 🔗 linkedin.com/in/octogenex #FeatureEngineering #ML #AI #DataTransformation

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