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Intelligible Machine Learning Models for Health Care Richard Caruana
⏲ 38 min 77 sec ✓ 25-Apr-2015
Artificial Intelligence at Carnegie Mellon University
⏲ 2 minutes 17 seconds 👁 4.1K
I Dropped Computer Science at CMU: Here's Why
⏲ 11 minutes 26 seconds 👁 163.9K
Could Black Hole-Sized Magnetic Fields Be Created on Earth?
⏲ 1:27 👁 2.6M
Advice for getting a PhD in robotics | Boris Sofman and Lex Fridman
⏲ 7 minutes 52 seconds 👁 13.4K
CS PhD application & planning: How I got into everywhere (MIT, Berkeley, etc.)
⏲ 13 minutes 53 seconds 👁 17.1K
Mercedes-AMG E 53 HYBRID 4MATIC+ Estate Interior Design
⏲ 2:3 👁 18.2M
Advice for graduate students in AI | Andrej Karpathy and Lex Fridman
⏲ 4 minutes 14 seconds 👁 11K
Worst PhD defense ever.
⏲ 4 minutes 43 seconds 👁 65.3K
Dr. Lucio Soibelman: Data Management, Visualization, and Knowledge Discovery for Advanced Infrastructure Systems
⏲ 32 min 48 sec ✓ 16-Dec-2010
How I’d learn ML in 2024 (if I could start over)
⏲ 7 minutes 5 seconds 👁 366.5K
Advice for machine learning beginners | Andrej Karpathy and Lex Fridman
⏲ 5 minutes 48 seconds 👁 390.8K
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_intelligible-machine-learning-models-for-health-care-richard-caruana.webp "In machine learning, often a tradeoff must be made between accuracy and intelligibility: the most accurate models usually are not very intelligible (e.g., random forests, boosted trees, and neural nets), and the most intelligible models usually are less accurate (e.g., linear or logistic regression). This tradeoff often limits the accuracy of models that can be applied in mission-critical applications such as healthcare where being able to understand, validate, edit, and trust a learned model is")
_artificial-intelligence-at-carnegie-mellon-university.webp "Machine Learning Department at CMU")
_i-dropped-computer-science-at-cmu-here39s-why.webp "chuniphil")
_could-black-hole-sized-magnetic-fields-be-created-on-earth.webp "The magnetic fields are more than a thousand times stronger than the magnetic field used in MRI machines.")
_advice-for-getting-a-phd-in-robotics-124-boris-sofman-and-lex-fridman.webp "Lex Clips")
_cs-phd-application-amp-planning-how-i-got-into-everywhere-mit-berkeley-etc.webp "being eugenie")
_mercedes-amg-e-53-hybrid-4matic-estate-interior-design.webp "With the new Mercedes-AMG E 53 HYBRID 4MATIC+ as a saloon and estate, the performance and sports car brand from Affalterbach is presenting two further plug-in hybrid models. They combine outstanding performance and driving dynamics with a long electric range.<br/>The combination of the 3.0-litre six-cylinder in-line engine and the permanently excited E-synchronous machine generates a maximum system output of 430 kW (585 HP) and a maximum system torque of 750 Nm. The performance is correspondingly dynamic: acceleration from 0‑100 km/h takes place in 3.8 seconds. The top speed is electronically limited to 280 km/h (saloon with optional AMG Driver's Package). Up to 140 km/h are possible purely electrically.<br/>The 120-kW electric motor is integrated into the AMG SPEEDSHIFT TCT 9G transmission to save space. The high-power density of the hybrid power unit is achieved by the permanently excited internal rotor synchronous technology. The electric motor's maximum torque of 480 Nm is available from the first revolution and ensures high agility even when starting off. The traction battery with 400 volts has a gross capacity of 28.6 kWh and is installed in the rear under the trunk floor. The energy content that can be used every day is smaller at 21.22 kWh, as part of the energy is always reserved for boosting and thus high-performance driving. Nevertheless, the high-voltage battery enables an electric range of up to over 100 kilometres.")
_advice-for-graduate-students-in-ai-124-andrej-karpathy-and-lex-fridman.webp "Lex Clips")
_worst-phd-defense-ever.webp "battou")
_dr-lucio-soibelman-data-management-visualization-and-knowledge-discovery-for-advanced-infrastructure-systems.webp "Dr. Lucio Soibelman,nProfessor, Carnegie Mellon UniversitynDepartment of Civil and Environmental Engineeringn nWhen: Friday, Sep 17,12:00 -1pmnWhere: Mason 142An nAbstractnIt is certainly no surprise that construction and operations of infrastructure systems require a huge amount of information from specifications, plans, construction documents, inventory management, cost estimating, and scheduling, for the construction phase and maintenance records, inspections and sensor data from the oper")
_how-id-learn-ml-in-2024-if-i-could-start-over.webp "Boris Meinardus")
_advice-for-machine-learning-beginners-124-andrej-karpathy-and-lex-fridman.webp "Lex Clips")
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