Результаты поиска

…ые сети, Обучение без учителя, Restricted Bolzmann Machine.

* [https://yandexdataschool.ru/edu-process/courses/machine-learning Видеозаписи лекций курса Школы Анал

…r D. [http://www0.cs.ucl.ac.uk/staff/d.barber/brml/ Bayesian Reasoning and Machine Learning.] Cambridge University Press, 2012. * Murphy K.P. Machine Learning: A Probabilistic Perspective. The MIT Press, 2012.

Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2

…ines, multitape Turing machines, connection between them. Universal Turing machine. Examples. Time and space complexity. Complexity classes P, PSPACE, EXP. ||

…ines, multitape Turing machines, connection between them. Universal Turing machine. Examples. Time and space complexity. Complexity classes P, PSPACE, EXP. ||

…earch.microsoft.com/en-us/um/people/cmbishop/prml/ Pattern Recognition and Machine Learning.] Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

…ct=true&site=eds-live&db=edsbas&AN=edsbas.EBA0C705 Pattern Recognition and Machine Learning.] Australian National University.

…age and popular packages to investigate and visualize datasets and develop machine learning models. The next two modules (Jan - May, 2021) use R programming l

…nger.com/book/10.1007%2F978-1-4419-9634-3 - Probability for Statistics and Machine Learning by A. Dasgupta, chapter 19 (MCMC), also accessible through HSE net

…age and popular packages to investigate and visualize datasets and develop machine learning models. Highly recommended: [https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ supplemental videos]

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

* [https://yandexdataschool.ru/edu-process/courses/machine-learning Видеозаписи лекций курса Школы Анал

* [https://yandexdataschool.ru/edu-process/courses/machine-learning Видеозаписи лекций курса Школы Анал

…topic modeling, sentiment analysis, social network analysis, and classical machine learning approaches. By the end of the course, you will be able to perform

# Miroslav Kubat. An Introduction to Machine Learning. Springer, 2015. # Mohammed, Mohssen Khan, Muhammad Badruddin Bashier, Eihab Bashier Mohammed. Machine Learning: Algorithms and Applications. Auerbach Publications, 2017.

==== Machine learning ==== …rning%20-%20Springer%20%202006.pdf Bishop. (2006). Pattern Recognition and Machine Learning]

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2

…rs a wide range of topics essential for effectively managing and deploying machine learning projects. It begins with an introduction to MLOps, providing an ov # Running on Remote Machine

…self-organization theory. The computational methods used are standard for machine learning: clustering, pattern recognition, dimension reduction. The purpose

…pa Lakshmanan, "Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images"

* [https://www.coursera.org/specializations/machine-learning-from-statistics-to-neural-networks Специализация на * [https://yandexdataschool.ru/edu-process/courses/machine-learning Видеозаписи лекций курса Школы Анал

…istical Inference;<br /> M. Deisenroth, A. Faisal, C. Ong. Mathematics for Machine Learning …stie, Robert Tibshirani, Jerome Friedman.;<br /> «Pattern Recognition and Machine Learning», Christopher M. Bishop

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Willi Richert, Luis Pedro Coelho. Building Machine Learning Systems with Python. Packt Publishing, 2013.

…earch.microsoft.com/en-us/um/people/cmbishop/prml/ Pattern Recognition and Machine Learning]. Springer, 2006. # Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

# Ron Bekkerman, Mikhail Bilenko, John Langford. Scaling up Machine Learning: Parallel and Distributed Approaches, Cambridge University Press, …w, Yoshua Bengio, Aaron Courville. Deep Learning (Adaptive Computation and Machine Learning series), The MIT Press, 2016.

|| 8 || Machine learning for everyone || Datacamp || 11.05 23.59 || 9 || Case Study: School Budgeting with Machine Learning in Python || Datacamp || 10.06 23.59

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

In this class we consider the main problems of data mining and machine learning: classification, clustering, regression, dimensionality reduction, # A machine learning competition (more information will be available later)

…heoretical aspect of the course' materials. The introductory experience in machine learning for FSL track is required.

# CS 329S: Machine Learning Systems Design. https://stanford-cs329s.github.io/ …roduction (MLOps) Specialization. https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops

…n 2022/2023 year, optional one for 2nd year Master students of the Math of Machine Learning program (HSE and Skoltech).

==== Machine learning ==== …rning%20-%20Springer%20%202006.pdf Bishop. (2006). Pattern Recognition and Machine Learning]

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

[[Machine learning 1 DSBA 2023/2024]] [[Machine learning 2 DSBA 2023/2024]]

…. (2018). Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing. [Ber

* Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

== Course: Introduction to Data Mining and Machine Learning (2020–2021) ==

[https://github.com/bogdanpotanin/Machine-Learning/blob/main/%D0%9B%D0%B5%D0%BA%D1%86%D0%B8%D1%8F%200.%20%D0%98%D0%BD [https://github.com/bogdanpotanin/Machine-Learning/blob/main/%D0%94%D0%BE%D0%BC%D0%B0%D1%88%D0%BD%D0%B5%D0%B5%20%D0%B

# "Machine Learning Engineering" by Andriy Burkov, 2020 # "Practical MLOps: Operationalizing Machine Learning Models (2021)", Noah Gift & Alfredo Deza

* [http://lcsl.mit.edu/courses/ml/1718/MLNotes.pdf Rosasco L., Introductory Machine Learning Notes, 2017] …gnition-and-Machine-Learning-2006.pdf Bishop C. M. Pattern Recognition and Machine Learning. Springer, 2006]

…ines, multitape Turing machines, connection between them. Universal Turing machine. Examples. Time and space complexity. Complexity classes P, PSPACE, EXP. ||

# Bishop C.M. Pattern Recognition and Machine Learning. Springer, 2006

…ines, multitape Turing machines, connection between them. Universal Turing machine. Examples ([https://www.dropbox.com/s/wna14b7y7nmw3cq/tm.py?dl=0 one], [htt

…anslation-mechanics-of-seq2seq-models-with-attention/ Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)], Jay Alamma * Christopher M. Bishop - Pattern Recognition and Machine Learning

…earch.microsoft.com/en-us/um/people/cmbishop/prml/ Pattern Recognition and Machine Learning.] Springer, 2006. * Mohri M., Rostamizadeh A., Talwalkar A. Foundations of Machine Learning. MIT Press, 2012.

Foundations of machine learning 2nd ed, Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalker, 2

…r D. [http://www0.cs.ucl.ac.uk/staff/d.barber/brml/ Bayesian Reasoning and Machine Learning.] Cambridge University Press, 2012. * Murphy K.P. Machine Learning: A Probabilistic Perspective. The MIT Press, 2012.