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List of Kun Academy Trainers (قائمة مدربي أكاديمية كون):

- Jamal Suleiman 

- جمال سليمان

- Raya Abi Rachid

- ريا أبي راشد

- Bassem Youssef

- باسم يوسف

- Maher Salibi

- ماهر صليبي

- Louay Badran

- لؤي بدران

- Samir Khadr

- سمير خضر

- Musa Al-Jamal

- موسى الجمل

- Nassim Ramadan

- نسيم رمضان

- Rand Hadid

- رند حديد

- Faleh Al-Qudaa

- فالح القضاع

- Majd Ghanem

- مجد غانم

- Nerveen Al Jabban

- نيرفين الجبان

- David Wills

- ديفيد ويلز

- Rob Montgomery

- روب مونتغمري

- Bernie Raffi

- برني رافي

- Tyson Wheatley

- تايسن ويتلي

- Steve Hudson

- ستيف هادسون

- Peggy Dean

- بيجي دين

- Marjolijn de Graaf

- مريلولين دي خراف

- Rone De Beauvoir

- وني دي بوفوار

- Laurie Schloff

- لوري شلوف

- Zach Miller

- زاك ميلر

- Chris Converse

- كريس كونفيرس

- Yasmina creates

- ياسمينا كرياتس

- Dr. Jason Anthony Allen

- دكتور جيسن أنتوني ألين

- Simon T. Bailey

- سايمن بايلي

- Brian Honigman

- براين هونيجمان

- Marshall Goldsmith

- مارشال جولدز سميث

- Matt Wilson

- مات ويلسن

List of Kun Academy Main Courses

(قائمة الدورات الرئيسية في أكاديمية كون) :


Courses Links English Links Arabic
 Master Class Courses  Business management  Creativity and innovation
 Interactive Courses  Leadership  Media
 World Wide Dubbed Courses  Technology  Worldwide-Dubbed-Courses


Machine learning


In the dramatically escalating technology revolution, the machine has not left an area of ​​human interest except and registered a strong ban in it. Although these machines vary in the degree of complexity in their work and performance on one side and in terms of their manufacture and design on the other side, they are subject in their formation and foundations to rules and information systems in which there is no room For error.

No of Lessons:4

Trainer: Hadelin De Ponteves

Course Duration: 5h 30m

No of Students: 216

Course Level: Advanced

Course Content

1. Introduction to artificial intelligence Lesson
2. Data processing Lesson
3. Building an automated model - simple Lesson
4. Building an automated prototype - several inputs Lesson

Course Duration: 5h 30m

No of Steps: 10

No of Attempts Available 2

No of Attempts Available Unlimited