التعلّم الآلي باستخدام لغة بايثون from Coursera

تتعمق هذه الدورة في تناول أساسيات التعلم الآلي باستخدام لغة برمجة سهلة التعلم ومعروفة، ألا وهي لغة بايثون. وسنتطرق في هذه الدورة إلى عنصرين رئيسيين: الأول، ستتعرف على الغرض من التعلم الآلي وأماكن تطبيقه في الواقع. وثانيًا، سوف نلقِ نظرة عامة على موضوعات التعلم الآلي، مثل التعلم المُوجّه والتعلم غير المُوجّه وتقييم النماذج وخوارزميات التعلم الآلي. سنتتدرب في هذه الدورة على أمثلة واقعية للتعلم الآلي ونتعرف على كيفية تأثير ذلك على المجتمع بطرق ربما لم تخطر على بالك!\n\nلتخصص فقط بضع ساعات أسبوعيًا خلال الأسابيع القليلة المقبلة، وإليك ما سوف تتعلمه. 1)مهارات جديدة تُضاف إلى سيرتك الذاتية، مثل الانحدار والتصنيف والتجميع العنقودي ومكتبة ساي كيت ليرن ومكتبة سي باي 2) مشاريع جديدة يمكنك إضافتها إلى ملفك الشخصي، ومنها الكشف عن السرطان والتنبؤ بالاتجاهات الاقتصادية والتنبؤ بانسحاب العملاء ومحركات التوصية وغير ذلك الكثير. 3) وشهادة في التعلم الآلي لإثبات كفاءتك وتقديمها إلى أي مكان ترغب في التقدم إليه عبر الإنترنت أو خلافه، مثل الملفات الشخصية على لينكد إن ووسائل التواصل الاجتماعي. فإذا اخترت المشاركة في هذه الدورة والحصول على شهادة دورة كورسيرا، فستحصل أيضًا على شارة رقمية من IBM عند إتمامك للدورة بنجاح.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Helps learners who have an interest in artificial intelligence and machine learning

Covers standard topics in artificial intelligence and machine learning

Joseph Santarcangelo and Saeed Aghabozorgi are experienced instructors who have received industry recognition for their work in machine learning

Taught in Python, which is industry standard for artificial intelligence and machine learning

Provides a comprehensive overview of machine learning concepts and algorithms

Includes hands-on examples and projects in machine learning concepts and algorithms

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in التعلّم الآلي باستخدام لغة بايثون with these activities:

Review Introduction to Machine Learning with Python

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Review the core concepts of machine learning, including supervised and unsupervised learning, and gain a solid foundation for the course.

View Introduction to Machine Learning with Python: A... on Amazon

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Read Chapter 1: Introduction to Machine Learning
Read Chapter 2: Supervised Learning
Read Chapter 3: Unsupervised Learning

Join a Machine Learning Study Group

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Engage with other learners, discuss course concepts, and reinforce your understanding through peer interaction.

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Find a study group or create one
Meet regularly to discuss course material

Complete the 'Machine Learning with Python' Tutorial Series

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Follow a guided tutorial series to gain a deeper understanding of machine learning algorithms and their implementation in Python.

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Complete Tutorial 1: Introduction to Machine Learning
Complete Tutorial 2: Supervised Learning
Complete Tutorial 3: Unsupervised Learning

Five other activities

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Solve Machine Learning Coding Challenges on LeetCode

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Challenge your coding skills and reinforce your understanding of machine learning algorithms by solving coding challenges on LeetCode.

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Solve 10 easy-difficulty machine learning coding challenges
Solve 5 medium-difficulty machine learning coding challenges

Build a Machine Learning Model to Predict Customer Churn

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Apply the concepts of supervised learning to solve a real-world problem and gain hands-on experience in building and evaluating machine learning models.

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Gather and pre-process customer data
Build and train a machine learning model to predict customer churn
Evaluate the performance of the model

Write a Blog Post on a Machine Learning Topic

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Solidify your understanding of machine learning concepts by writing a blog post on a topic that interests you, requiring you to research and explain it clearly.

Browse courses on Technical Writing

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Choose a machine learning topic
Research the topic and gather information
Write the blog post

Build a Machine Learning Web Application

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Combine your knowledge of machine learning and web development to create a fully-functional web application that leverages machine learning algorithms.

Browse courses on Full-stack Development

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Design the web application
Build the front-end of the web application
Build the back-end of the web application
Deploy the web application

Mentor a Beginner in Machine Learning

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Share your knowledge and solidify your understanding by mentoring a beginner in machine learning.

Browse courses on Mentoring

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Find a beginner to mentor
Set up regular meetings or communication

Career center

Learners who complete التعلّم الآلي باستخدام لغة بايثون will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists will find this course useful. This course will teach the basics of machine learning. In today's world, machine learning is essential for understanding, organizing, and manipulating vast amounts of data. Machine learning is very versatile, so opportunities with it are vast. Take this course to learn foundational concepts and then move forward in this field.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

This course helps build a foundation for Machine Learning Engineers by teaching the basics of machine learning. Machine Learning Engineers make machine learning models that can be used across a variety of industries, and they often require an advanced degree. Take this course to become more familiar with machine learning or to help gain a better technical perspective of the field.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers may find this course helpful. Software Engineers build the technology that powers machine learning and AI. This course will help you understand the basics of machine learning. Gaining this knowledge can improve your value as a Software Engineer, especially if your goal is to work on machine learning related projects.

See salaries and explore the career path for Software Engineer

Data Analyst

This course may be useful for Data Analysts. Data Analysts help organize and interpret data. While not all data analysis jobs require working with machine learning, machine learning can help improve your value as an analyst. Take this course to learn the basics of machine learning.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts will find this course helpful for learning the basics of machine learning. The field of Quantitative Analysis can incorporate a variety of machine learning techniques. Take this course to enhance your knowledge and make yourself more competitive in this field.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts may find this course useful for learning foundational concepts of machine learning. For Business Analysts that want to work in fields such as technology or engineering, this course provides a good starting point for understanding machine learning. Take this course to expand your foundational knowledge.

See salaries and explore the career path for Business Analyst

Statistician

This course may be useful for Statisticians. Statisticians often interpret vast amounts of data. While not all Statistician jobs require working with machine learning, machine learning offers a variety of opportunities for Statisticians. Take this course to become more familiar with the basics of machine learning.

See salaries and explore the career path for Statistician

Actuary

Actuaries may find this course useful, especially if the goal is to work with data science or machine learning. This course teaches the basics of machine learning. Actuaries help manage risk. Machine learning is becoming more common in this field, so taking this course may help you stay competitive.

See salaries and explore the career path for Actuary

Financial Analyst

Financial Analysts may find this course useful. This course teaches the basics of machine learning, which is being used more frequently in the world of finance. Take this course to build a foundation for using machine learning in finance.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts may find this course helpful. Machine learning is increasingly being used in operations research, which involves the application of advanced analytical methods to help make better decisions. Take this course to learn the basics of machine learning and how it applies to this field.

See salaries and explore the career path for Operations Research Analyst

Market Researcher

Market Researchers may find this course useful. This course teaches the basics of machine learning, which can be applied to large datasets collected during market research. Take this course to gain a better understanding of the analytical side of market research.

See salaries and explore the career path for Market Researcher

Data Engineer

Data Engineers may find this course may be useful. This course teaches the basics of machine learning. While Data Engineers typically focus on the development, deployment, maintenance, and management of data pipelines and infrastructure, machine learning can be a valuable additional skill to have.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators may find this course useful. This course teaches foundational concepts of machine learning. Machine learning is used to build models that can be used to automate tasks or make predictions based on data. For DBAs, this course can provide additional technical knowledge for data-related tasks.

See salaries and explore the career path for Database Administrator

Computer Programmer

Programmers may find this course useful. This course teaches the basics of machine learning. Programmers are often tasked with coding machine learning algorithms and models. Take this course to build a foundation for this.

See salaries and explore the career path for Computer Programmer

Systems Analyst

Systems Analysts may find this course useful. This course teaches the basics of machine learning. Machine learning is used in the design and implementation of computer systems. Take this course to improve your technical knowledge and competitiveness in this field.

See salaries and explore the career path for Systems Analyst