Oxford University has launched a free course on "Deep Learning Theory" for the 2026-2027 academic year.
The course focuses on the mathematical foundations of deep neural networks and includes 16 lectures that are freely accessible.
The program covers neural network architectures, nonlinear transformations, convolutional structures, pooling, optimization methods, dictionary learning, transferability of learned features, adversarial examples, random matrix theory, invariance learning, and other topics.
The lectures explore the mathematical theories that explain how deep neural networks learn and what accounts for their unique characteristics.
In my opinion, this is particularly valuable material for those who want to understand the mathematics that underlies modern AI systems.
https://courses.maths.ox.ac.uk/course/view.php?id=6621
https://t.iss.one/CodeProgrammer
The course focuses on the mathematical foundations of deep neural networks and includes 16 lectures that are freely accessible.
The program covers neural network architectures, nonlinear transformations, convolutional structures, pooling, optimization methods, dictionary learning, transferability of learned features, adversarial examples, random matrix theory, invariance learning, and other topics.
The lectures explore the mathematical theories that explain how deep neural networks learn and what accounts for their unique characteristics.
In my opinion, this is particularly valuable material for those who want to understand the mathematics that underlies modern AI systems.
https://courses.maths.ox.ac.uk/course/view.php?id=6621
https://t.iss.one/CodeProgrammer
❤12
Forwarded from Machine Learning
pandas-guide.pdf
188.3 KB
pandas — The Mental Model. A practical, example-driven guide in 18 chapters: how tables and indexes actually work, selection and filtering, groupby, reshaping, joins, time series, text, chaining, performance, and what changed in pandas 3.0. Every example is executed, with its real output shown, and the book closes with a one-page cheat sheet.
If the field is short, cut it to: A 31-page practical guide to pandas — 18 chapters, every example executed with real output, from indexes and selection to groupby, performance and pandas 3.0.
https://t.iss.one/MachineLearning9
If the field is short, cut it to: A 31-page practical guide to pandas — 18 chapters, every example executed with real output, from indexes and selection to groupby, performance and pandas 3.0.
https://t.iss.one/MachineLearning9
1❤7👍5
NumPy looks like a calculator and behaves like a memory model. 🧮
Most tutorials start with functions. This one starts with the five decisions NumPy made before you opened it: an array is one block of memory, shape is a contract between arrays, a slice is a view you can write through, the loop belongs in C, and the axis tells you which direction collapses.
15 chapters, 25 runnable examples, and every output copied from a real execution on NumPy 2.0.2. 🚀
Arrays, shapes and the machinery under the math:
https://enghusseinsheikho.substack.com/p/numpy-the-mental-model?r=3hwnr8&utmcampaign=post&utmmedium=web&showWelcomeOnShare=true
https://t.iss.one/CodeProgrammer⭐️
Most tutorials start with functions. This one starts with the five decisions NumPy made before you opened it: an array is one block of memory, shape is a contract between arrays, a slice is a view you can write through, the loop belongs in C, and the axis tells you which direction collapses.
15 chapters, 25 runnable examples, and every output copied from a real execution on NumPy 2.0.2. 🚀
Arrays, shapes and the machinery under the math:
https://enghusseinsheikho.substack.com/p/numpy-the-mental-model?r=3hwnr8&utmcampaign=post&utmmedium=web&showWelcomeOnShare=true
https://t.iss.one/CodeProgrammer
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Forwarded from Python Courses & Resources
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Prepping for cloud, dev, or AI roles this year? These free kits cover the gaps most people skip — cert basics, hands-on labs, and mock exams.
📘 Cert E-Book — Cisco & AWS fundamentals, ideal for first-time cert takers
→ https://tinyurl.com/ynutkhec
🪜 Online Free Course — a structured path that works great as a refresher before exams
→ https://tinyurl.com/4kvuk4m6
☁️ Free AI Materials — from LLM basics to fine-tuning practice notebooks
→ https://tinyurl.com/2z46z8f4
📊 Cloud Study Guide — cheat-sheet style, handy for interview prep
→ https://tinyurl.com/ymncyj5k
🧠 Free Mock Exam — test yourself before booking the real thing
→ https://tinyurl.com/y7ffwecz
🎁 Double 11 Giveaway — win iPhone Duo & Amazon Gift Cards
📌 Save this or forward it to your dev/study group — good resources are worth sharing. 💪
🌐 Join Community to Draw: https://chat.whatsapp.com/KkbnOUuS55aJdZMtTGrVYL
📲 Personalized help: https://wa.link/xd2
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