Yahoo Web Search

Search results

  1. Andrew Y. Ng. &nbsp &nbsp &nbsp &nbsp. 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 ...

  2. AI Transformation Playbook (Part 1) • 10 minutes. AI Transformation Playbook (Part 2) • 14 minutes. AI pitfalls to avoid • 2 minutes. Taking your first step in AI • 4 minutes. Survey of major AI application areas (optional) • 16 minutes. Survey of major AI techniques (optional) • 15 minutes.

  3. Andrew Ng. Andrew Y. Ng (sinh ngày 18 tháng 4 năm 1976, tiếng Trung: 吳恩達, Ngô Ân Đạt) là trưởng khoa học gia tại Baidu Research ở Thung lũng Silicon. Ngoài ra, ông còn là giáo sư thỉnh giảng tại khoa Khoa học máy tính và khoa Kỹ thuật điện tại đại học Stanford University. Ông cũng là ...

  4. Andrew Ng: 出生 1976年4月18日 ( 48歲) 英国 倫敦: 居住地 美国 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

  5. Apr 17, 2020 · For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2Ze53pqListen to the first lectu...

    • Apr 17, 2020
    • 2.7M
    • Stanford Online
  6. 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 ...

  7. 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 ...

  1. People also search for