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His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [ 23 ] [ 24 ] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6).
An illustration of main components of the transformer model from the paper "Attention Is All You Need" [1] is a 2017 landmark [2] [3] research paper in machine learning authored by eight scientists working at Google.
Such courses include courses on Generative AI, Data analytics, IT Support, Digital Marketing & E-commerce, Cybersecurity, and more. Google has a total of 1,172 courses on Coursera. They also offered 100,000 scholarships. [53] Google and its 20+ partners will accept those certificates as 4-year degree equivalent. [54] [55]
Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).
Google Digital Garage is a nonprofit program designed to help people improve their digital skills. [1] It offers free training, courses and certifications [ 2 ] [ 3 ] via an online learning platform .
The design has its origins from pre-training contextual representations, including semi-supervised sequence learning, [23] generative pre-training, ELMo, [24] and ULMFit. [25] Unlike previous models, BERT is a deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus .
It has been commonly adopted for training large language models and in the development of generative AI. [3] [12] In 2017, Gomez founded FOR.ai, [7] a program to help researchers learn machine learning techniques in a collaborative format, which later became Cohere For AI. [13]
JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).
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