In case you missed this year's PyData London event, our Machine Learning Engineers Ilse van Beelen and Sofia Chatzopoulou summarized in our latest blog some of their favorite talks at the event. Visit the link to know more about them 👉 https://lnkd.in/e6QEE5nS #Pydata #pydatalondon #machinelearningengineers #machinelearningengineering
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Just got back from an amazing seminar on wisdom of the crowds and data engineering, where I had the pleasure of giving a keynote on multimodal machine learning to a room full of brilliant engineers. It's wild to see how quickly this field is evolving. Combining different types of data - text, images, you name it - is opening up so many new possibilities for robustness and improving model performance. Huge shoutout to Ron Hamburger and Yanai for making everything run like clockwork. You guys rock! #MachineLearning #DataEngineering #TechConference #IsraelTech #AIInnovation
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Data Scientist | Driving Data-Driven Decisions with Advanced Analytical Skills in R and Python | Expert in Machine Learning, Statistical Modeling, and Data Visualization.
Excited to share my latest Kaggle notebook. In this machine learning project, I delved into the world of healthcare insurance by predicting medical charges. Leveraging the power of Linear Regression, LassoCV, RandomForestRegressor, and GradientBoostingRegressor, I harnessed the tools of data science to uncover meaningful insights. 💡 Feature selection using RFE added an extra layer of precision to my models. Curious to see how data can drive predictions in the medical field? https://lnkd.in/dHTXK-Q6
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Discover the power of Fourier Transform in the digital realm. Unravel the hidden frequencies of data and explore endless possibilities with this incredible mathematical tool. 🌐📈 #BPBOnline #ITPublisher #FourierTransform #DigitalSignalProcessing #Mathematics #DataAnalysis #SignalProcessing #DataScience #MathMagic #FrequencyAnalysis #DigitalWorld #ITInsights #DataAnalytics #AnalysisTools
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Read this...The industry owe's Bill Kleyman 🇺🇦 a round of applause for his advocacy in the mission critical industry. Bill is a walking/talking industry newsboard, and does a great job wrapping up all the knowledge I personally gained attending 2023's MC industry events (7x24/DICE/DCD, etc.) into a special report for Data Center Frontier. Well laid out, well spoken, backed up by plenty of the worlds best data points, along with specific examples. How he hit modularization, AI, speed to market, SGE...all in one paper is beyond me. Kudo's Bill.
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I'll be speaking at Data Engineering and Machine Learning Summit tonight! (2am AEDT haha) Will post the link to the talk slides afterwards! Thanks for organising Xinran Waibel and Benjamin Rogojan 😁 Keen to speak alongside some cool folks in the data & ML space 🚀
Tomorrow will be the very first Data Engineering And Machine Learning Summit. I am so excited to see over 3,000 people signed up to join us tomorrow and Thursday to hear talks from so many amazing speakers. But none of this was done by one person or even two! There are so many people and companies that I need to say thank you to! First off Thank You Xinran Waibel! You are an irreplaceable co-host. You've helped keep the communication and logistics of the entire event running smoothly and I am excited to set up the next event with you. Thank you Jonathan Kazarian for helping us get set-up on Accelevents. It's really been an amazing platform. It really has helped make managing the logistics of this conference that much easier. Also, to all the volunteers, there are a lot! THANK YOU! Mert Bozkir Andrew C. Madson Matthew Hoang Tom (Bao Khanh) Cu Filip Gibarac Pravin Kumarappan Aishwarya Prasad And of course, thank you to our sponsors! Segment Decube and Onehouse! If you haven't signed up yet, then check out the link below. See you all tomorrow!
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Explore the fascinating realm of machine learning on the edge – TinyML & Limited Data. Did your curiosity spark? Ready to begin your journey? Visit: https://lnkd.in/g_myQjkh or contact us for a discovery call! #TinyML #Machinelearning #Dataservices #datascience #prudentconsulting #itconsulting
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Today İlkim Canlı presented our paper with Sinan Kalkan at the #eCAADe conference on daylighting illuminance prediction using machine learning. In this paper, we tackle the data imbalance problem in predictive models and successfully implemented a SMOTE based approach to augment UDI classes with less data. You can read the paper here https://lnkd.in/djWwrCfB
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🚀 Just completed a Kaggle notebook on cirrhosis outcome prediction! Explored patient data, preprocessed with Label Encoding and Standard Scaling, and fine-tuned a RandomForestClassifier for a Log Loss of 0.46 on the validation set. 📊💡 Exciting journey in #HealthTech and #DataScience! Check it out: https://lnkd.in/d_JgPw5y #DataAnalytics #MachineLearning #HealthcareInnovation 🌐👩⚕️👨💻
Cirrhosis Outcome Prediction: Exploration & Model
kaggle.com
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We've been putting serious effort into our machine learning capabilities! For anyone interested in mixing the Lindt Chocolate of machine learning with the chili pepper of graph technology- this webinar is for you! https://okt.to/PWwz1N #GraphML #webinar #datascience
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