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Принес вам 14 книг по Machine Learning для прочтения в 2024 году

Вкатывающимся в ML архиважно иметь структурированную информацию для обучения. Чтобы избежать головокружения от длины списка, советую для начала выбрать по одной книге из каждой секции и вперёд штудировать!

🧠 Фундамент
1. Deep Learning: Foundations and Concepts (Bishop & Bishop, 2023)
2. Deep Learning (Goodfellow, Bengio, Courville, 2016)
3. The Little Book of Deep Learning (Fleuret, 2023). [тык]
4. Mathematics for Machine Learning (Deisenroth, Faisal, Ong, 2020)
5. Probabilistic Machine Learning (Murphy, 2012-2023)
6. Linear Algebra and Learning from Data (Strang, 2019)

💻 Более практические
7. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Géron, 2022)
7. Dive into Deep Learning (Zhang et al., 2023)
9. Designing Machine Learning Systems (Huyen, 2022)
10. Fundamentals of Data Engineering (Reis & Housley, 2022)

🤗 LLM-ки
11. Natural Language Processing with Transformers, Revised Edition (Tunstall, von Werra, Wolf, 2023)
12. Hands-On Large Language Models (Alammar and Grootendorst, 2024 - WIP)

🎉 Генеративный AI
13. Generative Deep Learning, 2nd Edition (Foster, 2023)
14. Hands-On Generative AI with Transformers and Diffusion Models (Cuenca et al., 2024 - WIP)

Многие из книг можно найти в интернете бесплатно. Список, конечно, не исчерпывающий, но довольно вместительный.

Часть списка подготовил мой знакомый из Hugging Face, Omar Sanseviero, а я его дополнил. #книги #books

@ai_newz
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Принес вам 14 книг по Machine Learning для прочтения в 2024 году

Вкатывающимся в ML архиважно иметь структурированную информацию для обучения. Чтобы избежать головокружения от длины списка, советую для начала выбрать по одной книге из каждой секции и вперёд штудировать!

🧠 Фундамент
1. Deep Learning: Foundations and Concepts (Bishop & Bishop, 2023)
2. Deep Learning (Goodfellow, Bengio, Courville, 2016)
3. The Little Book of Deep Learning (Fleuret, 2023). [тык]
4. Mathematics for Machine Learning (Deisenroth, Faisal, Ong, 2020)
5. Probabilistic Machine Learning (Murphy, 2012-2023)
6. Linear Algebra and Learning from Data (Strang, 2019)

💻 Более практические
7. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Géron, 2022)
7. Dive into Deep Learning (Zhang et al., 2023)
9. Designing Machine Learning Systems (Huyen, 2022)
10. Fundamentals of Data Engineering (Reis & Housley, 2022)

🤗 LLM-ки
11. Natural Language Processing with Transformers, Revised Edition (Tunstall, von Werra, Wolf, 2023)
12. Hands-On Large Language Models (Alammar and Grootendorst, 2024 - WIP)

🎉 Генеративный AI
13. Generative Deep Learning, 2nd Edition (Foster, 2023)
14. Hands-On Generative AI with Transformers and Diffusion Models (Cuenca et al., 2024 - WIP)

Многие из книг можно найти в интернете бесплатно. Список, конечно, не исчерпывающий, но довольно вместительный.

Часть списка подготовил мой знакомый из Hugging Face, Omar Sanseviero, а я его дополнил. #книги #books

@ai_newz

BY эйай ньюз


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The news also helped traders look past another report showing decades-high inflation and shake off some of the volatility from recent sessions. The Bureau of Labor Statistics' February Consumer Price Index (CPI) this week showed another surge in prices even before Russia escalated its attacks in Ukraine. The headline CPI — soaring 7.9% over last year — underscored the sticky inflationary pressures reverberating across the U.S. economy, with everything from groceries to rents and airline fares getting more expensive for everyday consumers. The company maintains that it cannot act against individual or group chats, which are “private amongst their participants,” but it will respond to requests in relation to sticker sets, channels and bots which are publicly available. During the invasion of Ukraine, Pavel Durov has wrestled with this issue a lot more prominently than he has before. Channels like Donbass Insider and Bellum Acta, as reported by Foreign Policy, started pumping out pro-Russian propaganda as the invasion began. So much so that the Ukrainian National Security and Defense Council issued a statement labeling which accounts are Russian-backed. Ukrainian officials, in potential violation of the Geneva Convention, have shared imagery of dead and captured Russian soldiers on the platform. The message was not authentic, with the real Zelenskiy soon denying the claim on his official Telegram channel, but the incident highlighted a major problem: disinformation quickly spreads unchecked on the encrypted app. Official government accounts have also spread fake fact checks. An official Twitter account for the Russia diplomatic mission in Geneva shared a fake debunking video claiming without evidence that "Western and Ukrainian media are creating thousands of fake news on Russia every day." The video, which has amassed almost 30,000 views, offered a "how-to" spot misinformation. In February 2014, the Ukrainian people ousted pro-Russian president Viktor Yanukovych, prompting Russia to invade and annex the Crimean peninsula. By the start of April, Pavel Durov had given his notice, with TechCrunch saying at the time that the CEO had resisted pressure to suppress pages criticizing the Russian government.
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Принес вам 14 книг по Machine Learning для прочтения в 2024 году

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