@j.ivl: تخيل كرة القدم بدون رونالدو😢#fyp #foryou #رونالدو #البرتغال #كريستيانو

آلُِدِووٓنٓ
آلُِدِووٓنٓ
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Region: IQ
Thursday 13 June 2024 07:13:29 GMT
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cr722091
بارقCR7 :
بلجي يجيب كأس العالم 💔🔥
2024-06-13 18:05:16
7
25j8l
Ali :
لعد تخيل كره القدم بدون ميسي
2024-06-13 07:16:27
8
beeverscathey
ابن العقيد :
جنت اتمنى يرفع كأس العالم 💔💔
2024-06-13 17:31:20
2
8.v42
عبدالله احمد || Abdullah Ahmed :
كلش صعب نسيانه ريحت حنينه بثوبي 😢💔🥺
2024-06-14 14:01:14
3
user4705228490316
سجودي المرح :
لديك شبل رونالدو😊
2024-06-13 16:49:33
1
_f1of
ابـو سليمان السـني :
يعني بعد ما اشوفه؟
2024-07-09 08:15:12
1
g8azn
نيــــــــــرو🤍🙅🏻 :
انتهت كره القدم 😔
2024-07-25 16:33:12
0
72_0o
بيس موبايل ⚽ :
تره محرم
2024-07-13 13:28:17
0
_2.i.l
رُبما انا , :
اخوان تره كال ارجع العب مدري يا نادي نسيت بسنة 2026
2024-07-09 10:40:20
0
5_.yt
KABWS :
😔💔 بدون كريس كره القدم لا شي
2024-07-06 00:27:50
0
2il646
علي :
كلشي خلي يعتزلون كلهم بس رونالدو لا
2024-07-05 22:11:27
0
u_7_uk
𝒔𝒂𝒏𝒋𝒂𝒚 :
اويلي 💔💔💔💔💔
2024-07-05 03:34:58
0
shb3.bmw
SV7xKURDO🇭🇺 :
ورسيما كروس يعتزل 👍🫶
2024-07-06 05:02:24
0
siking897
تصاميم كره القدم😁 :
🥺🥺🥺
2024-07-22 23:27:21
0
ha_dir56
حيدر🔥|𝐇𝐄𝐘𝐃𝐀𝐑 :
💔✨
2024-07-20 14:49:34
0
user6814145445256
محمد رحيم :
😢😢
2024-07-04 13:54:00
0
user145384196509566
حسين السماوي :
🥰💪
2024-07-01 14:28:34
0
3.9788
Sara Sara @ :
احلى خبر اعتزل عمي انتَمال طوبة ارجع اشتغل بالبلدية
2024-06-13 11:18:25
0
_jnw9
كــامــل/K a m e l :
تخيل رونالدو وميسي نفس تصريح💔
2024-06-13 07:53:09
3
4tvnj
هاشم المايسترو 🔥🫀 :
💔💔💔😥
2024-06-13 15:11:42
1
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Free Resources to Learn AI The world of AI is vast and exciting, and there's a wealth of free resources available to help you start your journey. Here are some of the best options: Online Courses  * Google's Machine Learning Crash Course: A hands-on introduction to machine learning concepts and tools.  * Andrew Ng's Machine Learning Course on Coursera: A classic course covering the fundamentals of machine learning.  * Fast.ai: Offers practical deep learning courses with a focus on real-world applications.  * Kaggle Learn: Provides interactive tutorials and competitions to practice your skills.  * edX: Offers a variety of AI and machine learning courses from top universities. Online Tutorials and Documentation  * TensorFlow and PyTorch: These are popular deep learning frameworks with extensive documentation and tutorials.  * Scikit-learn: A Python library for machine learning with clear documentation and examples.  * Keras: A high-level API for building neural networks, often used with TensorFlow or Theano. YouTube Channels  * 3Blue1Brown: Visual explanations of complex mathematical concepts related to machine learning.  * Sentdex: Python programming tutorials with a focus on data science and machine learning.  * The Coding Train: Creative coding and machine learning projects. Books  * Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron  * Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville  * Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili Practice Platforms  * Kaggle: Offers datasets and competitions to apply your skills.  * UCI Machine Learning Repository: Provides a variety of datasets for experimentation. Additional Tips  * Start with the basics: Understand linear algebra, calculus, and probability before diving into AI.  * Practice regularly: Build projects and participate in competitions to improve your skills.  * Join online communities: Connect with other learners and experts to share knowledge and get support.  * Experiment and explore: AI is a rapidly evolving field, so stay curious and try new things. Would you like to focus on a specific area of AI, such as machine learning, deep learning, or natural language processing? I can provide more tailored recommendations based on your interests. Do you have any specific questions about getting started with AI?  * https://ai.plainenglish.io/delving-into-machine-learning-tools-%EF%B8%8F-and-essential-knowledge-642ffb2ca78  * https://mojan.ca/blogs/industry-career/ultimate-data-science-reading-list
Free Resources to Learn AI The world of AI is vast and exciting, and there's a wealth of free resources available to help you start your journey. Here are some of the best options: Online Courses * Google's Machine Learning Crash Course: A hands-on introduction to machine learning concepts and tools. * Andrew Ng's Machine Learning Course on Coursera: A classic course covering the fundamentals of machine learning. * Fast.ai: Offers practical deep learning courses with a focus on real-world applications. * Kaggle Learn: Provides interactive tutorials and competitions to practice your skills. * edX: Offers a variety of AI and machine learning courses from top universities. Online Tutorials and Documentation * TensorFlow and PyTorch: These are popular deep learning frameworks with extensive documentation and tutorials. * Scikit-learn: A Python library for machine learning with clear documentation and examples. * Keras: A high-level API for building neural networks, often used with TensorFlow or Theano. YouTube Channels * 3Blue1Brown: Visual explanations of complex mathematical concepts related to machine learning. * Sentdex: Python programming tutorials with a focus on data science and machine learning. * The Coding Train: Creative coding and machine learning projects. Books * Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron * Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville * Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili Practice Platforms * Kaggle: Offers datasets and competitions to apply your skills. * UCI Machine Learning Repository: Provides a variety of datasets for experimentation. Additional Tips * Start with the basics: Understand linear algebra, calculus, and probability before diving into AI. * Practice regularly: Build projects and participate in competitions to improve your skills. * Join online communities: Connect with other learners and experts to share knowledge and get support. * Experiment and explore: AI is a rapidly evolving field, so stay curious and try new things. Would you like to focus on a specific area of AI, such as machine learning, deep learning, or natural language processing? I can provide more tailored recommendations based on your interests. Do you have any specific questions about getting started with AI? * https://ai.plainenglish.io/delving-into-machine-learning-tools-%EF%B8%8F-and-essential-knowledge-642ffb2ca78 * https://mojan.ca/blogs/industry-career/ultimate-data-science-reading-list

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