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Andrew Y. Ng.        . Assistant Professor Computer Science Department Department of Electrical Engineering (by courtesy) Stanford University Room 156, Gates Building 1A Stanford, CA 94305-9010 Tel: (650)725-2593 FAX: (650)725-1449 email: ang@cs.stanford.edu. Research interests: Machine learning, broad competence artificial ...
Shane Legg and Chris Anderson. People are growing anxious about AI, believing it's going to amplify our worst impulses, take our jobs or even wipe out humanity. But the doomsayers have it wrong, says AI visionary Andrew Ng. He debunks each concern, suggesting we need more AI, not less, if we're to solve the world's most pressing problems.
Andrew Ng, Kian Katanforoosh, Younes Bensouda Mourri. Natural Language Processing Specialization. 4 Courses. Intermediate > Younes Bensouda Mourri, Łukasz Kaiser ...
Master machine learning with Andrew Ng. Dive into algorithms, data processing, and AI applications, laying a solid foundation for a career in AI. Ideal for beginners and professionals alike, these courses demystify complex concepts, guiding you to expertise.
Andrew Ng: 出生 1976年4月18日 （ 48歲） 英国 倫敦: 居住地 美國 加利福尼亚州 洛思阿圖斯山丘: 母校: 卡内基梅隆大学 麻省理工学院 加州大学伯克利分校 萊佛士書院: 知名于: 深度学习、MOOC: 网站: www.andrewng.org: 科学生涯: 研究领域: 人工智能: 机构: 斯坦福大学: 论文
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural ...
There are 3 modules in this course. In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression ...
