Kurse
18844 Kurse
Stanford Seminar - When DNA Meets AI
Stanford Seminar - When DNA Meets AI
Join the Stanford Seminar on "When DNA Meets AI" to delve into the intriguing intersection of DNA and artificial intelligence. This course covers critical topics including ALS, coding, MD/PhD programs, challenges within the pharmaceutical industry, the advantages of data utilization, brain m.
YouTube
On-Demand
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Low code / no code solutions have the potential to reduce development time by 90%. This course will introduce you to the PL-900: Microsoft Power Platform Fundamentals..
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Course Title: Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Description: This course aims to teach learners about the applications of Transformers in audio, speech, and music. The learning outcomes include und.
Stanford Seminar - Deep Learning for Medical Diagnoses
Stanford Seminar - Deep Learning for Medical Diagnoses
This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpret.
YouTube
On-Demand
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
This course aims to teach learners about neuromorphic chips and how they address the nanotransistor challenge. The learning outcomes include understanding the concept of neuromorphic computing, implementing dendritic computation with subthreshold analog, and compari.
Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford Seminar - Can the Brain Do Back-Propagation?
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the.
Bayesian Networks 1 - Inference - Stanford CS221: AI
Bayesian Networks 1 - Inference - Stanford CS221: AI
The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of sub-Bayesian networks, and applications such as medical diagnosis, language modeling, object tracking, multiple.
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
This course aims to educate learners on the importance of accessibility in the context of artificial intelligence. The learning outcomes include understanding human-computer interaction, challenging ability assumptions, designing for users with disabil.
YouTube
On-Demand
Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud
University: Stanford University
Provider: YouTube
Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses
This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.
YouTube
On-Demand
AI Tools for Designers
AI Tools for Designers
This course teaches designers how to leverage artificial intelligence tools to enhance their design process, create innovative solutions, and improve efficiency. Students will learn how to use AI-powered design tools to generate ideas, automate repetitive tasks, and analyze data to make informed design decisions.
The cour.
Treehouse
On-Demand
Python Libraries for AI
Python Libraries for AI
University: Treehouse
Provider: Treehouse
This course teaches learners how to utilize Python libraries for Artificial Intelligence (AI) applications. By the end of the course, students will be able to implement AI algorithms and models using various Python libraries. The course covers topics such as HTML, CSS, PHP, Java.
Treehouse
On-Demand
Applying Neural Networks: A Guide to Pre-trained Models
In the evolving environment of artificial intelligence, harnessing the power of pre-trained models is becoming increasingly crucial for efficient and effective solutions. In this course, Applying Neural Networks: A Guide to Pre-trained Models, you'll gain the ability to use existing AI models to accelerate your projects.
First, you’ll explore.
Pluralsight
On-Demand