Electric Week

The E-WEB Organization Annual Scientific Conference

Electric Week Is a conference held annually through E-WEB Association, six days of another world of learning away from the theoretical academic studies, which largely lacks practical applications, the conference will help to eliminate the gap between purely theoretical studies and practical applications and the labor market. Also conference aims to provide a focused meal from modern science, which

, in turn, update and develop information for students and engineers, the conference aims to attract all interested in engineering science, not only students from engineering faculties across Egypt but also alumni and all interested in the science of life "Engineering ". The conference Attracts a large number of attendees each year with its unique template, which aims to link the labor market and theoretical studies and enrich the skills and capacities of the audience by offering a number of seminars and workshops not only in engineering science but extends to include some of humanities and soft skills, which helps in the development of thinking and creativity of the audience and also some management skills that help to raise the professionalism and help in the development of human circuit, which turns the human from an employee to become thinker and creative to help in the development of society beginning of his company and reaching to his country, finally changing the world and become an active member not just an inert object.

مؤتمر الأسبوع الكهربى .. هو مؤتمر يعقد سنويًا من خلال الجمعية و لمدة ستة أيام حيث عالم آخر من التعلم بعيدًا عن الدراسات الأكاديمية النظرية التى تفتقر بشكل كبير للتطبيق العملى حيث يساعد المؤتمر على إزالة الفجوة بين الدراسات النظرية البحتة و التطبيقات العملية و سوق العمل. أيضًا يهدف المؤتمر إلى تقديم وجبة مركزة من العلوم الحديثة مما يقوم بدوره تحديث و تطوير للمعلومات لدى الطلاب و المهندسين حيث يهدف المؤتمر إلى جذب كل المهتمين بالعلوم الهندسية و ليس فقط طلاب كليات الهندسة فى أرجاء مصر و إنما أيضا الخريجين و كل المهتمين بعلم الحياة "الهندسة" .

يجذب المؤتمر عددا كبيرًا من الحضور سنويًا حيث طابعه الخاص الذى يهدف إلى الربط بين سوق العمل و الدراسات النظرية و إثراء المهارات و القدرات لدى الحضور من خلال تقديم عدد من الندوات و ورش العمل ليس فقط فى العلوم الهندسية و إنما تمتد لتشمل بعضًا من الإنسانيات و المهارات الحياتية التى تساعد على تنمية التفكير و روح الإبداع بين الحضور و أيضا بعض المهارات الإدارية التى تساعد من رفع الكفاءة المهنية و تساعد فى تطوير الإنسان لتتسع الدائرة بدلًا من كونه إنسان عامل ليصبح عامل مبدع مفكر يساعد فى تطوير مجتمعه بداية من شركته وصولا إلى بلده و من ثم إلى الإضافة فى قواميس العالم و بذلك يصبح عضوا فاعلًا فى المجتمع و ليس مجرد كائن خامل.

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E-WEB on Facebook : https://www.facebook.com/EngineeringWeb

E-WEB on Twitter : @EWeb_Official

EW on Linkedin.com : http://eg.linkedin.com/pub/electric-week/3b/5a3/463

EW's Youtube Channel : http://www.youtube.com/user/ElectricWeek

E-Web Youtube Channel:
https://www.youtube.com/user/EngineeringWEB

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01/03/2020

Every ending is a new beginning 👀 ...

01/03/2020

We couldn't make it without you.
Thank you for dedicating your time and energy to enriching our knowledge.

28/02/2020

As we have promised you to provide the important data form Electric Week's sessions and workshops.

Here’s Eng Kareem Abd Allah proposed learning path for the data science track.

Starting:

Python:

Data Camp: Python for Data Science : Beginner, Intermediate then the toolboxes.

In parallel with:

Data Science A-Z

· https://www.udemy.com/datascience/

Then:

1. Machine Learning Andrew NG(Stanford):
https://www.coursera.org/learn/machine-learning

2. Google ML Crash Course
https://developers.google.com/machine-learning/crash-course/ml-intro?authuser=1

(At this stage, you can start practical problem with real data. We will go through some tasks from Kaggle for that purpose).

3. Data Science Specialization (Nice to have)
https://www.coursera.org/specializations/jhu-data-science

Then at a later stage, DeepLearning.ai Specialization for Andrew NG.

Below is a thorough track, including the math part.

https://www.analyticsvidhya.com/blog/2017/01/the-most-comprehensive-data-science-learning-plan-for-2017/?utm_content=bufferac8df&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

https://www.youtube.com/user/Nourelhoda2011/featured

And Here’s the answers from Eng Kareem for the questions we received

1-how to arrange studying of machine learning, deep learning and artificial intelligence, where could anyone start studying and how to study ?

I propose the sequence in the suggested learning path. Then, lots of practical problems from Kaggle. Also, seeking a summer internship in data science is a really good step after covering the above topics.

2- how to know which field of these three fields anyone could complete in ?

I elaborated that in my session. But in brief, if someone is strongly into programming, computer architecture and data structure, I recommend Data Engineering. If someone is strong at Math in general, statistics, probabilities and linear algebra, also studied signal processing or optimization, with a basic command of a simple programming language like Matlab or Python, that would make a good data scientist.

3-where could anyone study python ?

I propose the courses in the suggested learning path. Then everything else will follow after working on practical problems.

28/02/2020

As we have promised you to provide the important data form Electric Week's sessions and workshops.
Here is the YouTube channel that Eng/ Andrew sobhy recommend to us :
https://www.youtube.com/user/Nourelhoda2011/featured