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DevelopmentData ScienceMachine Learning

Machine Learning Nanodegree

أكبر كورس عربي لتعليم الألة والذكاء الأصطناعي لتأهيل مليون عالم بيانات عربي
Rating: 4.4 out of 54.4 (2,916 ratings)
62,369 students
Created by Dr. Tamer Eid, Hadelin de Ponteves, Kirill Eremenko
Last updated 9/2020
Arabic

What you'll learn

  • استخدم بايثون لعلوم البيانات والتعلم الآلي
  • تنفيذ خوارزميات تعلم الآلة
  • ريادة الأعمال بأستخدام الذكاء الاصطناعي
  • كيفية صنع بيئة عمل أفتراضية للتأهيل لسوق العمل
  • العقلية التحليلة
  • NumPy for Numerical Data تعلم ال
  • Pandas for Data Analysis تعلم ال
  • SciKit-Learn for Machine Learning Tasks استخدام ال
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Neural Networks
  • Support Vector Machines

Requirements

  • اللغة الأنجليزية
  • لغة البرمجة بايثون (Python)
  • أساسيات الجبر الخطي والمصفوفات
  • أساسيات الأحصاء
  • اساسيات التفاضل والتكامل
  • Algorithms and data structures
  • ****..............Intermediate statistical knowledge:
  • Populations, samples
  • Mean, median, mode
  • Standard error
  • Variation, standard deviations
  • Normal distribution
  • Precision and accuracy
  • Hypothesis testing
  • Problem solving
  • Confidence Interval, P-values, T-test, Statistical Significance
  • Integrals
  • Intermediate calculus and linear algebra mastery:
  • Derivatives
  • Series expansions
  • Matrix operations through eigenvectors and eigenvalues

Description

 الجزء - 1

 Numpy و Pandas  معالجة البيانات و :

                   Advanced Numpy                                      

                   Advanced Pandas

                   Data Preprocessing                

الجزء - 2 

Regression:                  

                  Simple Linear Regression

                  Multiple Linear Regression Intuition

                  Polynomial Regression

                  Support Vector Regression (SVR)

                  Decision Tree  Regression,

                  Random Forest Regression   

            

  الجزء - 3

Classification :

                الانحدار اللوجستي

                K-NN

               SVM                

               Kernel SVM                

               Naive Bayes                

               Decision Tree Classification                

               Random Forest Classification                

الجزء - 4  

Clustering  :

                K-Means                

               Hierarchical Clustering                

الجزء - 5   

Association Rule Learning::

               Apriori                

               Eclat                

الجزء - 6

Reinforcement Learning :

                Upper Confidence Bound                

               Thompson Sampling               

الجزء - 7   

Natural Language Processing (NLP) :

                Bag-of-words model               

                algorithms for NLP               

الجزء - 8   

Deep Learning :

                 الشبكات العصبية الاصطناعية، الشبكات العصبية التلافيفية 

                (Deep Learning: Artificial Neural Networks, Convolutional Neural Networks)

الجزء - 9

Dimensionality Reduction  :

               PCA               

               Kernel PCA               

               LDA               

الجزء - 10 

Model Selection & Boosting :

                k-fold Cross Validation               

                Parameter Tuning,                

                Grid Search               

                XGBoost               

فضلا على ذلك، فإن الدورة مليئة بالتمارين العملية التي تستند إلى أمثلة واقعية. لذا لن تتعلم النظرية فحسب، بل ستحصل أيضًا على بعض التدريب العملي  و تتعلم كيفية بناء النماذج الخاصة بك.

أيضا ستشتمل هذه الدورة التدريبية على قوالب بالبايثون و التي يمكنك تنزيلها واستخدامها في مشروعاتك الخاصة.

سيكون لديك فهم أساسي للعديد من نماذج تعلم الألة 

عمل تحليل قوي وتوقعات دقيقة للبيانات

Reinforcement Learning  و NPL و ال Deep Learning التعامل مع موضوعات محددة مثل

 Dimensionality Reduction التعامل مع التقنيات المتقدمة مثل

 سوف تتعلم كيف تختار النموذج الصحيح والمناسب لكل نوع من أنواع تعليم الألة  لكافة المشاكل المختلفة او متطلبات عملك  

  قم ببناء مزيج من عدة نماذج مختلفة لتعليم الألة بالتعلم كيفية دمجها معا لحل المشاكل الصعبة

Who this course is for:

  • الأشخاص المهتمة بتعليم ألة والذكاء الاصطتناعي
  • من عندهم خبره سابقة في تعلم أله ويريدون التعمق فيها
  • خريجي الجامعات او حتى طلاب الثانوي ويريدون العمل بتعليم الألة او مجال الذكاء الأصطتناعي
  • محللي البيانات والمحاسبين المالييين
  • الأشخاص الذين يريدون الترقي في العمل وزيادة قيمة مضافة للشركة التي يعمل بها

Instructors

Dr. Tamer Eid
Chief information Officer ida.gov.eg
Dr. Tamer Eid
  • 4.4 Instructor Rating
  • 2,915 Reviews
  • 64,383 Students
  • 1 Course

obsessed about Machine learning and deep learning , it's a love from first sight  , and i am doing my-best to be a mutual LOVE....!

the first meeting was back in 98 in my Artificial intelligence diploma  Sadaat Academy , and I remember the lecturers always saying 20 to 30 years from now to apply those beautiful concepts, it need huge computational power and millions of tons of data .....Next year i worked with first BI tool Cognos ...then ten years later Artificial intelligence was booming

I told you it's a love story with the intelligent machines and it was from the first sight     :)

Hadelin de Ponteves
AI Entrepreneur
Hadelin de Ponteves
  • 4.5 Instructor Rating
  • 284,496 Reviews
  • 1,535,677 Students
  • 40 Courses

Social Media:

Instagram: @hadelindeponteves

Twitter: @hadelinponteves


Bio:

Hadelin is an online entrepreneur who has created 30+ top-rated educational e-courses to the world on new technology topics such as Artificial Intelligence, Machine Learning, Blockchain and Cryptocurrencies.


Summary:

2M+ online courses sold.

1.5M+ students.

30+ online courses created.

4.5/5 instructor average rating.

2 books written.

Kirill Eremenko
Data Scientist
Kirill Eremenko
  • 4.5 Instructor Rating
  • 570,188 Reviews
  • 2,111,381 Students
  • 60 Courses

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

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