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Artificial Intelligence 課程

“artificial intelligence”共返回 1472 條結果

  • AI For Everyone by DeepLearning.AI
    AI For Everyone
    DeepLearning.AI
    課程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    評分為 4.8(滿分 5 星)。 31497 條評論
    4.8(31,497)
    630k 名學生
    Beginner LevelBeginner
  • مهارات الإكسل الخاصة بالأعمال التجارية: المستوى المتقدم by Macquarie University
    مهارات الإكسل الخاصة بالأعمال التجارية: المستوى المتقدم
    Macquarie University
    課程
    Coursera Plus
    Intermediate LevelIntermediate
  • Machine Learning by Stanford University
    Machine Learning
    Stanford University
    課程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    評分為 4.9(滿分 5 星)。 158353 條評論
    4.9(158,353)
    4.1 分鐘 名學生
    Mixed LevelMixed
  • IBM Applied AI by IBM
    IBM Applied AI
    IBM
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 29172 條評論
    4.6(29,172)
    420k 名學生
    Beginner LevelBeginner
  • AI Foundations for Everyone by IBM
    AI Foundations for Everyone
    IBM
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 8864 條評論
    4.7(8,864)
    150k 名學生
    Beginner LevelBeginner
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    Deep Learning
    DeepLearning.AI
    專項課程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    評分為 4.8(滿分 5 星)。 121297 條評論
    4.8(121,297)
    1 分鐘 名學生
    Intermediate LevelIntermediate
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    Introduction to Artificial Intelligence (AI)
    IBM
    課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 7312 條評論
    4.7(7,312)
    130k 名學生
    Beginner LevelBeginner
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    Mathematics for Machine Learning
    Imperial College London
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 11175 條評論
    4.6(11,175)
    260k 名學生
    Coursera Plus
    Beginner LevelBeginner
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    IBM AI Engineering
    IBM
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 12091 條評論
    4.6(12,091)
    220k 名學生
    Intermediate LevelIntermediate
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    IBM AI Foundations for Business
    IBM
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 51882 條評論
    4.7(51,882)
    530k 名學生
    Beginner LevelBeginner
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    DeepLearning.AI TensorFlow Developer
    DeepLearning.AI
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 18727 條評論
    4.7(18,727)
    280k 名學生
    Intermediate LevelIntermediate
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    Advanced Machine Learning
    HSE University
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.4(滿分 5 星)。 3804 條評論
    4.4(3,804)
    310k 名學生
    Coursera Plus
    Advanced LevelAdvanced
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    Mind and Machine
    University of Colorado Boulder
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.5(滿分 5 星)。 175 條評論
    4.5(175)
    12k 名學生
    Coursera Plus
    Beginner LevelBeginner
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    Machine Learning
    University of Washington
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 14710 條評論
    4.6(14,710)
    400k 名學生
    Coursera Plus
    Intermediate LevelIntermediate
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    AI for Medicine
    DeepLearning.AI
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 1736 條評論
    4.7(1,736)
    44k 名學生
    Intermediate LevelIntermediate
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    IBM Data Science
    IBM
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 72844 條評論
    4.6(72,844)
    790k 名學生
    Beginner LevelBeginner
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    AI in Healthcare
    Stanford University
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 387 條評論
    4.7(387)
    16k 名學生
    Beginner LevelBeginner
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    Digital Transformation Using AI/ML with Google Cloud
    Google Cloud
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 5065 條評論
    4.6(5,065)
    140k 名學生
    Coursera Plus
    Beginner LevelBeginner
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    Reinforcement Learning
    University of Alberta
    專項課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.7(滿分 5 星)。 2316 條評論
    4.7(2,316)
    51k 名學生
    Coursera Plus
    Intermediate LevelIntermediate
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    Business Implications of AI: Full course
    EIT Digital
    課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.3(滿分 5 星)。 19 條評論
    4.3(19)
    1.9k 名學生
    Coursera Plus
    Beginner LevelBeginner

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總之,這是我們最受歡迎的 artificial intelligence 門課程中的 10 門

  • AI For Everyone: DeepLearning.AI
  • مهارات الإكسل الخاصة بالأعمال التجارية: المستوى المتقدم: Macquarie University
  • Machine Learning: Stanford University
  • IBM Applied AI: IBM
  • AI Foundations for Everyone: IBM
  • Deep Learning: DeepLearning.AI
  • Introduction to Artificial Intelligence (AI): IBM
  • Mathematics for Machine Learning: Imperial College London
  • IBM AI Engineering: IBM
  • IBM AI Foundations for Business: IBM

關於 Artificial Intelligence 的常見問題

  • Artificial intelligence (AI) is a fast-growing branch of computer science focused on enabling computers to perform a wide range of tasks that previously required human intelligence. Today, AI is used to power a wide range of tasks, such as image recognition, language translation, and prioritization of email or business workflows. So, if you have a smartphone, chances are you use software with AI capabilities every day.

    AI is often discussed in tandem with the closely related concept of machine learning. Machine learning is the use of step-by-step processes called algorithms to allow computers to solve problems on their own - and, over time, get steadily better at doing so. Well-designed machine learning algorithms give computers the ability to solve a wide range of problems much more effectively and flexibly than if programmers had to provide detailed instructions for one specific use case.

    While machine learning is used to create many simple AI applications, this approach typically requires massive, clearly-defined datasets to properly “train” the program. To create more sophisticated AI applications, an advanced type of machine learning called deep learning is used. Deep learning uses artificial neural networks that, as its name implies, are patterned after the human brain and do not require such structured datasets and human guidance to be successful. Instead, the AI application can be fed diverse, unstructured datasets and learn itself how to achieve a specified goal.

    Even today’s most powerful deep learning approaches are not capable of mimicking the complexity and creativity of the human brain and its tens of billions of neurons. However, the field of artificial intelligence has made incredible strides in recent years, and is changing the way we live and work in ways that would have seemed outlandish a decade ago. Who knows what the next decade of progress in this exciting field will yield? Students learning skills in this area today may end up producing even more radical breakthroughs.‎

  • As artificial intelligence (AI) touches more and more areas of our daily lives, it is becoming useful to more and more career paths. Indeed, at least some background in this field is required for a growing number of jobs, and it can help give you a significant advantage over the competition in many others.

    Naturally, AI and its subfields are in very high demand for popular computer science jobs. Data scientists rely on machine learning and deep learning skills in their daily work, applying various data mining techniques to both structured and unstructured big data in order to produce valuable insights for a wide variety of businesses. Skills in natural language processing (NLP) are needed to create useful chatbots for customer service as well as voice-activated assistants like Amazon’s Alexa. And advanced AI skills can put you on the cutting edge of computer programming, working on teams seeking to achieve ambitious goals like self-driving cars or autonomous robots.

    A background in AI can help you in more and more jobs outside the realm of computer science, as well - it’s not much of an exaggeration to say that if a job requires human intelligence to do, artificial intelligence can help.

    For example, a familiarity with machine learning can help business analysts understand and use sophisticated tools for predicting movements in the market - or develop these tools themselves. Doctors and other healthcare professionals are leveraging AI to assist with diagnosing illnesses, prescribing treatments, and analyzing medical data. Even creative professionals in visual arts and music can take advantage of AI tools to help them generate images and melodies.‎

  • Coursera offers online courses in an incredibly wide range of computer science topics, and artificial intelligence is no exception. If you’re a computer science student interested in this fast-growing field, online courses can give you an introduction to AI and machine learning, or help you hone your Python skills for data science. More advanced learners can dive deep, with courses and Specializations in AI engineering and deep learning. Even non-computer scientists can benefit from courses geared towards their field, such as the use of machine learning for trading and other business professionals.

    Whatever your level of expertise and area of interest, online courses let you learn remotely on a flexible schedule and, typically, a lower cost than on-campus alternatives. And thanks to Coursera’s partnerships with top-ranked schools like Stanford University and Imperial College London, as well as industry leaders like IBM and Google Cloud, students can get all the advantages of online learning while still getting a high-quality education in this exciting field.‎

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