Tarek Amr

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Tarek Amr

Goodreads Author


Born
Egypt
Website

Twitter

Genre

Member Since
August 2008

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🐍 I have more than 8 years of experience in data science and machine learning, and 15 years of experience in Python programming.

🎓 After finishing my postgraduate degree at 🇬🇧 The University of East Anglia (UEA), I worked in a number of startups and scale-up companies in 🇪🇬 Egypt and 🇳🇱 The Netherlands.

🐾 In previous lives I used to work as an Information Security Consultant and Presales Manager. I previously volunteerd in Global Voices Online (GVO) and the Open Knowledge Foundation (OKFN).

🔥 I am trying to challenge the old saying, "Jack of all trades, master of none".

...more

Average rating: 4.0 · 15 ratings · 4 reviews · 2 distinct works
Hands-On Machine Learning w...

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Practical D3.js

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Atmosphere
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Leadership Unblocked by Muriel M. Wilkins
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Set Boundaries, Find Peace by Nedra Glover Tawwab
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This is a Safe Space by Lucinda Berry
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Pirates In The Navy by Tendayi Viki
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Modern Warfare by Lawrence Freedman
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Quotes by Tarek Amr  (?)
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“The first thing to do when developing a model is to understand the problem you are trying to solve thoroughly. This does not only involve understanding what problem you are solving, but also why you are solving it, what impact are you expecting to have, and what the currently available solution is that you are comparing your new solution to.”
Tarek Amr, Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

“Generating different train and test splits is called cross-validation. This helps us have a more reliable estimation of our model's accuracy”
Tarek Amr, Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

“You can tell whether a man is clever by his answers. You can tell whether a man is wise by his questions. Naguib Mahfouz”
Tarek Amr, Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

“He really had been through death, but he had returned because he could not bear the solitude.”
Gabriel García Márquez, One Hundred Years of Solitude

“الحديث مع فتاة متحررة بالنسبة لي هنا كان مثل نسمة هواء باردة ومنعشة، أستعيد بها روحي التي كانت تختنق أمام تناقضات وإزدواجية فتيات يردن التحرر، بينما يقررن أن الزواج والجلوس في البيت قد يكون نهاية المطاف، أو حتي بعض الفتيات المتحررات اللائي لا يرين غضاضة في أن ينفق عليهن رجل بالكامل. لم أستطع أن أفهم منطقهن الانتهازي، الحصول على مزايا التحرر، و مزايا النظام الشرقي الأبوي التقليدي معًا.”
إبراهيم فرغلي, جنية في قارورة

“لا يهم أي درجة من الطمأنينة أصل إليها، هناك دائمًا جزء مني، يجفل من كل شيء، كغزال بري.”
أسما حسين

“Extreme violence has a way of preventing us from seeing the interests it serves.”
Naomi Klein, The Shock Doctrine: The Rise of Disaster Capitalism

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