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هيكلة مشاريع التعلم الآلي
Andrew Ng,
Younes Bensouda Mourri,
and
Kian Katanforoosh
Andrew Ng,
Younes Bensouda Mourri,
and
Kian Katanforoosh
ستتعلم كيفية بناء مشروع تعلم آلي ناجح. إذا كنت تطمح في أن تكون قائدًا تقنيًا في مجال الذكاء الاصطناعي، وتعرف كيفية تحديد اتجاه عمل فريقك فسيوضح لك هذا المساق كيفية القيام بذلك.
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ستتعلم كيفية بناء مشروع تعلم آلي ناجح. إذا كنت تطمح في أن تكون قائدًا تقنيًا في مجال الذكاء الاصطناعي، وتعرف كيفية تحديد اتجاه عمل فريقك فسيوضح لك هذا المساق كيفية القيام بذلك.
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ستتعلم كيفية بناء مشروع تعلم آلي ناجح. إذا كنت تطمح في أن تكون قائدًا تقنيًا في مجال الذكاء الاصطناعي، وتعرف كيفية تحديد اتجاه عمل فريقك فسيوضح لك هذا المساق كيفية القيام بذلك.
لم يتم تدريس الكثير من هذا المحتوى في أي مكان آخر، وهو مستمد من تجربتي في بناء وتشكيل العديد من منتجات التعلم المتعمق. يحتوي هذا المساق كذلك على "محاكي طيران" مما تتيح لك ممارسة عملية صنع القرار كقائد لمشروع التعلم الآلي. مما يمنحك "خبرة صناعية" قد تحصل عليها بخلاف ذلك بعد سنوات من الخبرة العملية.
فبعد أسبوعين ستتمكن من:
- فهم كيفية تشخيص الأخطاء في نظام التعلم الآلي،
- ستصبح قادرًا على إعطاء الأولوية للاتجاهات الواعدة لتقليل الخطأ،
- فهم إعدادات التعليم الآلي المعقدة مثل مجموعات التدريب/الاختبار غير المتطابقة ومقارنة و/أو تجاوز الأداء على مستوى البشري،
- معرفة كيفية تطبيق التعلم الشامل والنقل التعلم متعدد المهام
فقد شاهدت فرقًا تضيع شهورًا أو سنوات بسبب عدم فهم المبادئ التي يتم تدريسها في هذا المساق. وأتمنى ان يوفر عليك هذا المساق العديد من الأشهر.
فهذا مساق قائم بذاته، يمكنك حضوره طالما ان لديك أساسيات معرفة التعلم الآلي. هذا هو المساق الثالث في تخصص التعلم المتعمق.
Register for this course and see more details by visiting:
OpenCourser.com/course/p07vih/hykl@
What's inside
Syllabus
استراتيجية التعلم الآلي (1)
استراتيجية التعلم الآلي (2)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed for those aspiring to be tech leads in the field of AI, this course teaches how to identify actionable directions for your team
Teaches learners how to diagnose errors in machine learning systems so they can prioritize promising directions to reduce errors
Provides real-world experience in the making of data science decisions
Taught by experts in the field of deep learning
Assumes prior knowledge of machine learning
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Activities
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We're preparing activities for
هيكلة مشاريع التعلم الآلي.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete هيكلة مشاريع التعلم الآلي will develop knowledge and skills
that may be useful to these careers:
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including machine learning. This course will help you to develop the skills and knowledge necessary to conduct research in machine learning.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers conduct research in the field of machine learning. This course will help you to develop the skills and knowledge necessary to conduct research in machine learning.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers draw on theoretical knowledge of machine learning to develop solutions for a range of industries. This course would help you to gain a deeper understanding of the challenges in implementing machine learning, and this can help you make better decisions about modeling strategy.
Machine Learning Architect
Machine Learning Architect
Machine Learning Architects design and implement machine learning models and solutions that meet organizational requirements. This course will help you to develop a deeper understanding of the challenges in implementing machine learning, and this can help you to make better decisions about modeling strategy in your role.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop artificial intelligence systems. This course will help you to develop the skills and knowledge necessary to design and develop machine learning solutions.
Data Scientist
Data Scientist
Data Scientists synthesize large amounts of structured and unstructured data to explore trends and patterns. This course will help you to develop a deeper understanding of the strategies for implementing machine learning and modeling methodologies, which will help you to make more informed decisions on modeling strategy in your role.
Data Engineer
Data Engineer
Data Engineers design and implement data pipelines and infrastructure that support data-driven organizations. This course will equip you with the knowledge to implement machine learning solutions, which are increasingly critical to data engineering.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design and develop computer vision systems. This course may be useful if you are interested in using machine learning for computer vision applications.
Data Architect
Data Architect
Data Architects design and implement data management solutions that meet the needs of organizations. This course will equip you with the knowledge to design and implement machine learning solutions, which are increasingly critical to data management.
Data Analyst
Data Analyst
A Data Analyst uses a range of statistical and modeling techniques to make sense of raw data, which can then be used to aid in decision-making. This course would help you to improve your ability to implement and improve analytical models that incorporate machine learning.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course may be useful if you are interested in using machine learning for financial analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems. This course may be useful if you are interested in using machine learning for operations research.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to design, develop, deploy, and maintain software systems. This course may be useful if you are interested in developing machine learning applications.
Business Analyst
Business Analyst
Business Analysts use data and analysis to help businesses make better decisions. This course may be useful if you are interested in using machine learning for business analysis.
Product Manager
Product Manager
Product Managers are responsible for the overall strategy, roadmap, and execution of a product. This course may be useful if you are interested in managing machine learning products.
For more career information including salaries, visit:
OpenCourser.com/course/p07vih/hykl@
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
هيكلة مشاريع التعلم الآلي.
Save
Classic in the field of deep learning, and it provides a comprehensive overview of the theory and practice of deep learning. It valuable resource for those who want to learn more about the underlying principles of deep learning.
Provides a practical introduction to deep learning using Python, and it good choice for those who want to learn how to apply deep learning techniques to real-world problems.
Provides a practical introduction to machine learning using Python, and it good choice for those who want to learn how to apply machine learning techniques to real-world problems.
Provides a practical introduction to machine learning using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. It good choice for those who want to learn how to apply machine learning techniques to real-world problems.
Provides a practical introduction to machine learning for robotics, and it good choice for those who want to learn how to apply machine learning techniques to robotics problems.
Provides a more theoretical perspective on machine learning, and it is particularly useful for those who want to understand the underlying mathematical foundations of machine learning. It valuable resource for those who want to develop a deeper understanding of the field.
Provides a comprehensive overview of statistical learning methods, and it valuable resource for those who want to learn more about the theory and practice of statistical learning. It good choice for those who want to develop a deeper understanding of the field.
Save
Provides a practical introduction to machine learning for business professionals, and it good choice for those who want to learn how to apply machine learning techniques to business problems.
Provides a practical introduction to machine learning for finance professionals, and it good choice for those who want to learn how to apply machine learning techniques to financial problems.
Provides a practical introduction to machine learning for text data, and it good choice for those who want to learn how to apply machine learning techniques to text data problems.
Provides a practical introduction to machine learning for those who want to learn how to apply machine learning techniques to real-world problems. It good choice for those who want to learn the basics of machine learning without getting too bogged down in the details.
Provides a gentle introduction to machine learning, and it good choice for those who are new to the field. It good choice for those who want to learn the basics of machine learning without getting too bogged down in the details.
Provides a concise overview of machine learning concepts and techniques, and it good choice for those who want to learn the basics of machine learning without getting too bogged down in the details.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p07vih/hykl@
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Effort
ومدته أسبوعين دراسيين، 3/4 ساعات أسبوعيًا
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructors
Andrew Ng
Younes Bensouda Mourri
Kian Katanforoosh
Language
العربية
Transcripts
English
Español
Français
Português
中文
한국어
Pусский
Türkçe
Good to know
Designed for those aspiring to be tech leads in the field of AI, this course teaches how to identify actionable directions for your team
Teaches learners how to diagnose errors in machine learning systems so they can prioritize promising directions to reduce errors
Provides real-world experience in the making of data science decisions
Taught by experts in the field of deep learning
Assumes prior knowledge of machine learning
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