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Toward Intelligent Humanoids | iCub 2012
⏲ 7 min 89 sec ✓ 09-Oct-2012
How optimization for machine learning works, part 1
⏲ 10 minutes 9 seconds 👁 20.6K
Gradient Descent, Step-by-Step
⏲ 23 minutes 54 seconds 👁 637.4K
Apache Spark: A Unified Engine for Big Data Processing
⏲ 2 min 40 sec ✓ 05-Oct-2016
Ernest Chan (Predictnow.ai) - \"How to Use Machine Learning for Optimization\"
⏲ 1 hour 3 minutes 41 seconds 👁 3.4K
Lecture 3 | Loss Functions and Optimization
⏲ 1 hour 14 minutes 40 seconds 👁 431.9K
PICO Portal- Basic Setup of a web-based tool for collaborative citation screening for systematic reviews
⏲ 1 min 3 sec ✓ 13-Oct-2020
Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
⏲ 15 minutes 52 seconds 👁 15.4K
Adam Optimization Algorithm (C2W2L08)
⏲ 7 minutes 8 seconds 👁 112.1K
Yieldmo’s Dynamic Format Optimization (DFO)
⏲ 60 sec ✓ 18-Oct-2022
Mastering Bias and Variance in Machine Learning Models | ML Optimization
⏲ 4 minutes 41 seconds 👁 2.1K
Optimization for Machine Learning I
⏲ 1 hour 5 minutes 21 seconds 👁 21.2K
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_toward-intelligent-humanoids-124-icub-2012.webp "Director / Screenwriter / Voice Over: Mikhail FranknCo-Director / Cinematographer / Editor: Tomás Donoso (www.tomasdonoso.com)nMusic: Magnus Birgersson aka Solar Fields (www.solarfields.com) Ultimae Records (www.ultimae.com)nnPrincipal Researchers (alphabetical):nnMikhail Frank -nRobotics (Planning and Control)nM.S. and B.S. Mechanical Engineering, University of Connecticut, USAnB.S. German Language, University of Connecticut, USAnnSimon Harding -nMachine Learning and VisionnPh.D. Electronics,")
_how-optimization-for-machine-learning-works-part-1.webp "Brandon Rohrer")
_gradient-descent-step-by-step.webp "StatQuest with Josh Starmer")
_apache-spark-a-unified-engine-for-big-data-processing.webp "Matei Zaharia discusses")
_ernest-chan-predictnow-ai-9234how-to-use-machine-learning-for-optimization9234.webp "Cornell Financial Engineering Manhattan CFEM")
_lecture-3-124-loss-functions-and-optimization.webp "Stanford University School of Engineering")
_pico-portal-basic-setup-of-a-web-based-tool-for-collaborative-citation-screening-for-systematic-reviews.webp "This is a basic setup of PICO Portal. A new web-based tool for collaborative citation screening for systematic reviews. It features cutting-edge machine learning models that are integrated into an intuitive interface, thus combining the respective strengths of existing commercial and academic citation screening tools. PICO Portal is designed to support a team’s systematic review process through it’s entire life cycle; while maintaining an emphasis on academic rigor, workflow optimization a")
_optimization-for-deep-learning-momentum-rmsprop-adagrad-adam.webp "DeepBean")
_adam-optimization-algorithm-c2w2l08.webp "DeepLearningAI")
_yieldmos-dynamic-format-optimization-dfo.webp "Dynamic Format Optimization uses machine learning to choose the best Yieldmo Smart Format experience in real time, with no additional effort from the buyer, to maximize KPI performance. DFO happens after the impression is won, so it does not reduce scale or impact CPM. Contact sales@yieldmo.com to learn more and activate it today.")
_mastering-bias-and-variance-in-machine-learning-models-124-ml-optimization.webp "IBM Technology")
_optimization-for-machine-learning-i.webp "Simons Institute")
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