Become AI polymath - Implement and train various AI models from scratch and learn all the tricks associated with it with for example Andrej Karpathy, Fast AI, Andrew Ng. Learn to finetune them. - Watch or/and read free university courses on math, AI, physics and so on from Stanford, MIT, Berkeley, Princeton and so on on the internet and do exercises from he courses or related to the courses. Or watch/read nonuniversity alternatives, like Dive into Deep learning. - Play with trained models, learn prompt engineering, connect them with eachother, give them vector database memory, put them into agent or multiagent frameworks such as Langchain, AutoGen or CrewAI, and so on, with for example Andrew Ng. - Do mechanistic interpretability on top of trained models, reverse engineer them, with for example Neel Nanda, find ways to control AI models fundamentally, not just with prompt engineering. Prompt engineering, memory (retrieval augmented generation), agents, multagent frameworks, AI models from scratch, finetuning, etc.: [Courses - DeepLearning.AI](https://www.deeplearning.ai/courses/) AI models from scratch with for example Andrej Karpathy: [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL7m7hLIqA0hoIUPhC26ASCVs_VrqcDpAz&si=L5WmZ7a0LCC4ML6y) Write a transformer without looking at a tutorial Courses: Look these up on Google, Youtube and other places from various universities such as Stanford, MIT, Berkeley, Princeton, or watch/read nonuniversity alternatives. You can focus on courses called computer science, probability, statistics, linear algebra, calculus, machine learning, deep learning, artificial intelligence, transformers, physics. https://x.com/burny_tech/status/1798093331035001245 Reverse engineering of AI models aka mechanistic interpretability with Neel Nanda: [A Barebones Guide to Mechanistic Interpretability Prerequisites — Neel Nanda](https://www.neelnanda.io/mechanistic-interpretability/prereqs) [Concrete Steps to Get Started in Transformer Mechanistic Interpretability — Neel Nanda](https://www.neelnanda.io/mechanistic-interpretability/getting-started) [https://arena3-chapter1-transformer-interp.streamlit.app/](https://arena3-chapter1-transformer-interp.streamlit.app/) [https://www.youtube.com/watch?v=V3NQaDR3xI4&list=PLoyGOS2WIonajhAVqKUgEMNmeq3nEeM51](https://www.youtube.com/watch?v=V3NQaDR3xI4&list=PLoyGOS2WIonajhAVqKUgEMNmeq3nEeM51) Follow lastest AI news from for example: [Než budete pokračovat na YouTube](https://www.youtube.com/@aiexplained-official) Follow lastest AI papers from for example: [Než budete pokračovat na YouTube](https://www.youtube.com/@zetavector) https://x.com/dair_ai Checkout Latent Space, a great podcast focused on the newest AI research: [Podcast Archive - Latent.Space](https://www.latent.space/podcast/archive?sort=new) Checkout Dwarkesh Podcast for various interviews about the state of the art of AI research and engineering [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLd7-bHaQwnthaNDpZ32TtYONGVk95-fhF) Checkout Machine Learning Street Talk for various state of the art theoretical and practical dives around intelligence [Než budete pokračovat na YouTube](https://www.youtube.com/@MachineLearningStreetTalk) Yannick kilcher Books - statistical learning theory, book of deep learning, deep learning theory paper, reinforcement learning, master algorithm Mixture of experts All tricks in newest foundational models in LLama, Mistral, Grok, Gemma, etc. machine learning transformer excercises diffusion models from scratch Graph Neural Networks from scratch, CNNs, variational inference [https://www.youtube.com/watch?v=u4BJdBCDR9w](https://www.youtube.com/watch?v=u4BJdBCDR9w) , variational autoencoders, etc. sample from a Markov Chain to convergence the Fisher info matrix and what its eigenvalues represent Stanford computer science [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPzLcXBhbCFt8ahPrQGFSmN) [https://www.youtube.com/watch?v=LfaMVlDaQ24&pp=ygUZU3RhbmZvcmQgY29tcHV0ZXIgc2NpZW5jZQ%3D%3D](https://www.youtube.com/watch?v=LfaMVlDaQ24&pp=ygUZU3RhbmZvcmQgY29tcHV0ZXIgc2NpZW5jZQ%3D%3D) Stanford linear algebra [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL2qEL_7r0QISg3wu4D_j9xRJodZsfjBEu) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL49CF3715CB9EF31D) MIT linear algebra in machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k) MIT calculus [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL4C4C8A7D06566F38) Stanford probability [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg) [Combinatorics](https://chrispiech.github.io/probabilityForComputerScientists/en/part1/combinatorics/) [https://web.stanford.edu/~mossr/pdf/p4cs.pdf](https://web.stanford.edu/~mossr/pdf/p4cs.pdf) [GitHub - mossr/machine_learning_book: Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook](https://github.com/mossr/machine_learning_book/tree/master) [CS109](https://web.stanford.edu/class/archive/cs/cs109/cs109.1176/) [CS109 | Final Exam](https://web.stanford.edu/class/archive/cs/cs109/cs109.1202/exams/final.html) stanford optimization theory [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL3940DD956CDF0622) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h) stanford information theory for machine learning [https://www.youtube.com/watch?v=XL07WEc2TRI&pp=ygUcc3RhbmZvcmQgb3B0aW1pemF0aW9uIHRoZW9yeQ%3D%3D](https://www.youtube.com/watch?v=XL07WEc2TRI&pp=ygUcc3RhbmZvcmQgb3B0aW1pemF0aW9uIHRoZW9yeQ%3D%3D) Harvard statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLLoOcJCfXeBuLjR4K3VMpU-ryEgeCzecN) Stanford machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU) [https://cs229.stanford.edu/main_notes.pdf](https://cs229.stanford.edu/main_notes.pdf) Stanford statistical learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOzrYsAxzQyHb8n_RWNuS1e) Stanford physics [Course Catalogue | The Theoretical Minimum](https://theoreticalminimum.com/courses) Computational neuroscience lectures [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLu02O8xRZn7xtNx03Rlq6xMRdYcQgEpar&si=igAUTf8AvDCfZOXX) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLqFGS_otF-c47OamOxXEu8ZmlY-NXZnMy&si=DGu637ZmMJyDBLTC) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLqFGS_otF-c5SZ4XPaR2sUNq5EKCKnyGJ&si=ucCK8AOmz_iVylrV) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP61I4aI5T6OaFfRK2gihjiMm&si=4SkRL88K54Nxe8L8) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLu02O8xRZn7xtNx03Rlq6xMRdYcQgEpar) Stanford transformers [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM) Stanford generative models including diffusion [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8) Stanford deep learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb) Karpathy neural networks zero to hero [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) Stanford natural language processing with deep learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4) MIT deep learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLTZ1bhP8GBuTCqeY19TxhHyrwFiot42_U) Stanford artificial intelligence [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPgrvmYbBrxZCK_GwXvDVL3) Stanford machine learning with graphs [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn) Stanford natural language understanding [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp) Stanford reinforcement learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) Stanford meta-learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI) Stanford machine learning theory [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh) Stanford computer vision [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLSVEhWrZWDHQTBmWZufjxpw3s8sveJtnJ) Stanford methods in AI [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLrxfgDEc2NxZJcWcrxH3jyjUUrJlnoyzX) Stanford MIT robotics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLkx8KyIQkMfUmB3j-DyP58ThDXM7enA8x) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL65CC0384A1798ADF) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLN1iOWWHLJz3ndzRIvpbby75G2_2pYYrL) MIT machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLnvKubj2-I2LhIibS8TOGC42xsD3-liux) MIT efficient machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB) Principles of Deep Learning Theory [[2106.10165] The Principles of Deep Learning Theory](https://arxiv.org/abs/2106.10165) [https://www.youtube.com/watch?v=YzR2gZrsdJc](https://www.youtube.com/watch?v=YzR2gZrsdJc) [https://www.youtube.com/watch?v=pad023JIXVA](https://www.youtube.com/watch?v=pad023JIXVA) Active Inference book [Active Inference](https://mitpress.mit.edu/9780262045353/active-inference/) Geometric deep learning [Geometric Deep Learning - Grids, Groups, Graphs, Geodesics, and Gauges](https://geometricdeeplearning.com/) Mechanistic intepretability [Mechanistic Interpretability — Neel Nanda](https://www.neelnanda.io/mechanistic-interpretability) Topological data analysis [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLzERW_Obpmv_UW7RgbZW4Ebhw87BcoXc7) Hinton AI [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLLssT5z_DsK_gyrQ_biidwvPYCRNGI3iv) Physics Sean Carroll [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLrxfgDEc2NxZJcWcrxH3jyjUUrJlnoyzX) [https://www.youtube.com/watch?v=2bi5G6plWCI](https://www.youtube.com/watch?v=2bi5G6plWCI) An Elegant Structural Overview of Modern Theoretical Physics MIT electronics [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL9F74AFA03AA06A11&si=-O2Q4S2ozzXT1AQ-) MIT signals and systems [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP61kdPAOC7CzFjJZ8f1eMUxs&si=pXsY6aCAwpUenHQp) MIT digital communications [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL2AD004D035C24F21&si=A7Ymv61OxoCURXMJ) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL9B24A6A9D5754E70&si=q4OOiHdIW4c2lSGh) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP61kdPAOC7CzFjJZ8f1eMUxs&si=-OqBIHk_0SqqhOwv) MIT computer system engineering [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL6535748F59DCA484&si=_H64cwu0nchyjYys) MIT low levels software [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf&si=dgREuxQwHh1YciTQ) Eth Zurich design if digital circuits [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL5Q2soXY2Zi8J58xLKBNFQFHRO3GrXxA9&si=guSya4BtDobNGK6v) MIT computer security [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&si=PsZvRJVdAbz4zb9A) MIT statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0) MIT probability [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6) MIT probability 2 [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8) Stanford electrical engineering signal processing [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLpGHT1n4-mAvjbBio7D_qpIN4bZqOOOST) Berkeley signal processing [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLSFazQ8nHIuMbuMpAxZQLkwV7TyXv5x7U) MIT Signals and Systems [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP61kdPAOC7CzFjJZ8f1eMUxs) Berkeley machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE) Berkeley computer vision [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5) MIT machine vision [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O) Berkeley deep learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW) Berkeley deep reinforcement learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL_iWQOsE6TfXxKgI1GgyV1B_Xa0DxE5eH) Berkeley deep unsupervised learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPIvv4kgBkvu_uygrV3ut_U) Berkeley artificial intelligence [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLsOUugYMBBJENfZ3XAToMsg44W7LeUVhF) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL5gYI166VpDY6n0BGxNBkB-t1O0z4RmrJ) Caltech machine learning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLD63A284B7615313A) Cornell machine learning hardware [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6) Harvard statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo) Harvard AI [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLhQjrBD2T381PopUTYtMSstgk-hsTGkVm) Stanford causal infernece [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-) Yann Lecun Ai [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL80I41oVxglKcAHllsU0txr3OuTTaWX2v) Based on stanford Theory of Probability [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLhotTMn5CRnt-wdu-Qdmr1v7Fc5Tm2HBn) Harvard data science [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLPylmrRJ8Rt83uEuNpCPt0_9eg5vAEZo4&si=7k7uaAiK7fVdqqDg) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLZP-ItUENjYhAy-387Dzw-ZkL-6ckz9h3&si=1cQr4NSeA4syBZbk) Foundations of AI Symbolic AI University of Pennsylvania [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLafPhSv1OSDew4qhV9YeNFwf-1eU0NHng) AI planning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLwJ2VKmefmxpUJEGB1ff6yUZ5Zd7Gegn2) AI Qatar University [https://www.youtube.com/watch?v=s09PH2_Esuk&list=PLRdABJkXXytC-Lhmyj1cDl-EfnoGI56x7&index=39](https://www.youtube.com/watch?v=s09PH2_Esuk&list=PLRdABJkXXytC-Lhmyj1cDl-EfnoGI56x7&index=39) Knowledge Based AI Audacity [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkdANSntXhY0btWkpPglDGD) Artificial Intelligence: Knowledge Representation and Reasoning [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLrRViffgm7YPY8DgxCqyniF-5saxNAS7G) [Search | MIT OpenCourseWare | Free Online Course Materials](https://ocw.mit.edu/search/) [https://www.youtube.com/results?search_query=machine+learning&sp=EgIQAw%253D%253D](https://www.youtube.com/results?search_query=machine+learning&sp=EgIQAw%253D%253D) [https://www.youtube.com/results?search_query=machine+learning+course](https://www.youtube.com/results?search_query=machine+learning+course) [https://www.youtube.com/results?search_query=machine+learning+lectures](https://www.youtube.com/results?search_query=machine+learning+lectures) [https://www.youtube.com/results?search_query=physics&sp=EgIQAw%253D%253D](https://www.youtube.com/results?search_query=physics&sp=EgIQAw%253D%253D) [https://www.youtube.com/results?search_query=physics+course&sp=EgIQAw%253D%253D](https://www.youtube.com/results?search_query=physics+course&sp=EgIQAw%253D%253D) [https://www.youtube.com/results?search_query=physics+lectures&sp=EgIQAw%253D%253D](https://www.youtube.com/results?search_query=physics+lectures&sp=EgIQAw%253D%253D) Machine Learning for Signal Processing [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLbtAaXHMto-sQHH1qrYn8_D9Fze_D1KhE) Foundations of ML [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD) Stanford principles of computer systems [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLai-xIlqf4JmTNR9aPCwIAOySs1GOm8sQ) Stanford linear dynamical systems [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL06960BA52D0DB32B) Quantum computing [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLOFEBzvs-VvrXTMy5Y2IqmSaUjfnhvBHR&si=Bq9rCHmndwlHcx2e) Computer architectures [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLhwVAYxlh5dvB1MkZrcRZy6x_a2yORNAu&si=WQda6ZP3VMHwFgdv) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL-Mfq5QS-s8iUJpNzCOtQKRfpswCrPbiW&si=BlICGSN7d5iUMckD) [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq&si=yAu5GXNScj2lPtZs) MIT [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLDSlqjcPpoL64CJdF0Qee5oWqGS6we_Yu&si=Vuldt_YcuZ98x5ua) Mathematical statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrOk5-wIki_oOxHJnNj0_437) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrPZH-fknPLak0tlUpUISBZR) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLpM_znWrmN6hpfqW1Rt1Luac-HUiAsj8_) Applied Mathematics MIT: Mathematics for computer science, Design and Analysis of Algorithms, Matrix Methods in Data Analysis and Signal Processing and Machine Learning, Computational Science and Engineering, Mathematical Methods for Engineers II, Applied Category Theory, Topics in Mathematics with Applications in Finance [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLzVGLyH55UdtlzZ33h29sQWvXxRu33nu8) Statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL5901C68C96DFCAD1) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLl-gb0E4MII1dkfGxmdt8YA0Dgabdvdmq) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL5KkMZvBpo5Ak8nKmEetGN0uZfT2e9W4G) [Deep Learning](https://www.deeplearningbook.org/) [An Introduction to Statistical Learning](https://www.statlearning.com/) Bayesian statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLvcbYUQ5t0UEkf2NUEo7XSsyVTyeEk3Gq) Statquest statistics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9) Mathematics start to finish math sorcerer [https://www.youtube.com/watch?v=didXE0HkSC8](https://www.youtube.com/watch?v=didXE0HkSC8) Pytorch [https://youtu.be/Z_ikDlimN6A?si=LWaWZSaqCXPAlzba](https://youtu.be/Z_ikDlimN6A?si=LWaWZSaqCXPAlzba) Neel Nanda mechanistic interpretability Stanford evolutionary psychology [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLl_Fjh_TEaJKsZS4-fT7XwL1JnzZ5xdKd) The Potential of Neural Network Potentials https://pubs.acs.org/doi/10.1021/acsphyschemau.4c00004?utm_source=twttr&utm_medium=sm&utm_campaign=IC001_ST0001R_T002687_apcach_MJS_PG_2024_Twitter_Content&src=IC001_ST0001R_T002687_apcach_MJS_PG_2024_Twitter_Content excellent video from 2 xoogler / openai folks that have as much experience as anyone on the frontier of language models. I would especially recommend this for people who are technical but don't have solid intuitions around how and why next token prediction works at scale: [https://youtu.be/3gb-ZkVRemQ?si=TAmFixHatZHJfUdK](https://youtu.be/3gb-ZkVRemQ?si=TAmFixHatZHJfUdK) https://twitter.com/_xjdr/status/1787962750591004841?t=xWCAs0scW44TBZbWhrzM9g&s=19 Ml books lectures Stanford Statmech of ML [https://youtu.be/TLHYwbrhGJc?si=FFmoB5jDuBzknuep](https://youtu.be/TLHYwbrhGJc?si=FFmoB5jDuBzknuep) Transformers united [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4&si=2-VneiMTPr36SQEG) Stanford NLP Next science is inside neural networks [https://www.youtube.com/watch?v=fk2r8y5TfNY&t=1767s&pp=ygUmTmV4dCBzY2llbmNlIGlzIGluc2lkZSBuZXVyYWwgbmV0d29ya3M%3D](https://www.youtube.com/watch?v=fk2r8y5TfNY&t=1767s&pp=ygUmTmV4dCBzY2llbmNlIGlzIGluc2lkZSBuZXVyYWwgbmV0d29ya3M%3D) Stanford machine learning, mit deep learning, Stanford Transformers, deep learning theory, karpathy machine learning, Sean Carroll biggest ideas in the universe, susskind theoretical minimum, applied math book, manim math, manim physics, manim machine learning, machine learning book, wiki, papers, Princeton deep learning theory Nonequilibrium thermodynamics, nonequilibrium statistical mechanics [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL04QVxpjcnjjoN7xfc7Vy63uUSkDlOYiU) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PL04QVxpjcnjgmUoD6tlO_0YT1k5GYgQWi) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLCVqYvWXt6ZM3Sh5qbN2SAWABpinU6smE) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLrbFeBstDbRLw9kwTqJJsD490YcPEU8x8) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLsdMv0E_Hm4bavLh1nm12XvjHwlekZ-WZ) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLv64M6nvmocsPYna-WHr0mX8dSp_OEgVV) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLXi9EP7hqH1aFw8_-kf-h70zSIXUARLNH) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLg0_ydgtbHGGQM_VDY9562kPfFHCn_C_z) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLMi1tmgJbrSINVKIVjLLqkARXsixSftqf) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLbMVogVj5nJQqNx0ElSk3Ip04Ofg7B22W) Neurosymbolic AI [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLt-aI0fLbqH_7jn1FM3G4GfhcR6zK2_Oq) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLt-aI0fLbqH-W-YIsf5AQ07G616lQzNpC) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLFVVASQZhO17FtSsbyG0wLYz8JMgNQ7Ov) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLca8syLx1VhTtIascNAW4_WDdW3G5Srw1) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLX0h2D8LfCPHtT0-u6xjYaGFPT6-3cLJ1) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLgpE9N-DBnt5wva1Mu6OehkP3LLoZ6eXS) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLvp1Riqm5kiNhoB3EDMTYWAFTTXmLBJv2) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLF9MB5-iSvcuy3PDtYYMHvf_G0L3cPUOL) Feynman [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLyQSN7X0ro23NUN9RYBP5xdBYoiv2_5y2) Implement diffusion model from scratch YouTube [Courses - DeepLearning.AI](https://www.deeplearning.ai/courses/) Transformers formally [[2207.09238] Formal Algorithms for Transformers](https://arxiv.org/abs/2207.09238) Information theory Algorithmic information theory Hutter Experimental physics Neural cellular automata DreamCoder Illya compression intelligence generalization [https://www.youtube.com/watch?v=AKMuA_TVz3A](https://www.youtube.com/watch?v=AKMuA_TVz3A) [[2304.05366] The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning](https://arxiv.org/abs/2304.05366) Material science LLM comprehensive technical course [GenAI Handbook](https://genai-handbook.github.io/) This looks interesting! only 2000 pages! Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning [https://www.cis.upenn.edu/~jean/math-deep.pdf](https://www.cis.upenn.edu/~jean/math-deep.pdf) [GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.](https://github.com/mlabonne/llm-course) Speedrunning ML https://x.com/arithmoquine/status/1799825345199415397 machine learning in science [Machine Learning for Science](https://ml4sci.org/) machine learning in physics [Machine Learning for Physicists – Neural Networks and their Applications (Slides and Videos for the Lectures by Florian Marquardt)](https://machine-learning-for-physicists.org/) [Machine Learning for Physicists 2023 - HedgeDoc](https://pad.gwdg.de/s/Machine_Learning_For_Physicists_2023) [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLemsnf33Vij4eFWwtoQCrt9AHjLe3uo9_) Discrete programs search program synthesis [https://youtu.be/UakqL6Pj9xo?si=ZLiiywX-28W8phTQ](https://youtu.be/UakqL6Pj9xo?si=ZLiiywX-28W8phTQ) Active Inference from scratch Teach yourself physics [https://youtu.be/Cw97Tj5zxvA?si=uNMN9gn4LRbqt8XO](https://youtu.be/Cw97Tj5zxvA?si=uNMN9gn4LRbqt8XO) Walter Lewin physics classical mechanics MIT [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLyQSN7X0ro203puVhQsmCj9qhlFQ-As8e&si=eBrI9f7aQGxxhrW-) Classical mechanics MIT [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP61qDex7XslwNJ-xxxEFzMNV&si=JfIg5qTiNLKlxYq1) AlphaZero from scratch [https://www.youtube.com/watch?v=wuSQpLinRB4&list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s&index=16](https://www.youtube.com/watch?v=wuSQpLinRB4&list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s&index=16) Control theory Cybernetics Emergence