Просмотр кода страницы Машинное обучение и Большие данные

[[Файл:Ai-brain.jpg|400px]]


= Software installation =

* Anaconda - https://www.anaconda.com/products/individual
** To remove (base) from PS1 - conda config --set changeps1 false
* sklearn - https://scikit-learn.org/stable/
* CatBoost - https://catboost.ai/
* LightGBM - https://lightgbm.readthedocs.io/en/latest/
* XGBoost - https://xgboost.readthedocs.io/en/stable/
* Tensorflow - https://www.tensorflow.org/install - [[Tensorflow for old GPUs]]

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= Курсы =

* [https://www.youtube.com/watch?v=tPYj3fFJGjk TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial]
* https://medium.com/nuances-of-programming/%D1%82%D0%BE%D0%BF-10-%D0%BA%D1%83%D1%80%D1%81%D0%BE%D0%B2-%D0%BF%D0%BE-%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%BC%D1%83-%D0%B8-%D0%B3%D0%BB%D1%83%D0%B1%D0%BE%D0%BA%D0%BE%D0%BC%D1%83-%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8E-%D0%B2-2020-1e1d870a24b7
* https://skillbox.ru/course/profession-data-scientist/
* https://new.geekbrains.ru/machine-learning
* https://praktikum.yandex.ru/data-scientist/
* https://www.coursera.org/learn/machine-learning
* https://www.coursera.org/specializations/deep-learning
* https://ru.coursera.org/specializations/machine-learning-data-analysis
* https://www.udacity.com/course/machine-learning--ud262
* https://www.udacity.com/course/intro-to-machine-learning--ud120

= Большие данные =
* Лучшие в своём деле: Артур Хачуян | Большие данные — Big Data | ЛСД #7 https://www.youtube.com/watch?v=frLydE1UCvA
* «На чём корпорации вертели вашу приватность», Артур Хачуян (Tazeros Global) https://www.youtube.com/watch?v=8IJxO44kq24

= Методы =

* Теорема Байеса
* Функции ошибки и регуляризация
* Расстояние Кульбака-Лейблера и перекрестная энтропия
* Градиентный спуск: основы
* Граф вычислений и дифференцирование на нем
* Перцептрон
* Глубокие нейронные сети
* Классификация
* Кластеризация
* Регрессия
* Машинное зрение
* Метод к-средних
* word2vec

= Библиотеки =

* NumPy - https://www.numpy.org/
* SciPy - https://www.scipy.org/
* Pandas - https://pandas.pydata.org/
** [https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_sql.html Pandas like SQL]
* Scikit-learn - https://scikit-learn.org/stable/
* Matplotlib - https://matplotlib.org/
* Gensim - https://radimrehurek.com/gensim/
* H2O - https://github.com/h2oai/h2o-tutorials
* XGBoost - https://xgboost.readthedocs.io/en/latest/
* CatBoost - https://yandex.ru/dev/catboost/
* Theano - http://deeplearning.net/software/theano/
* TensorFlow - https://www.tensorflow.org/
* sknn - https://scikit-neuralnetwork.readthedocs.io/en/latest/
* Theanets - https://github.com/lmjohns3/theanets
* Keras - https://keras.io/
* OpenCV - https://opencv.org/

= Датасеты =

* http://yann.lecun.com/exdb/mnist/
* http://www.image-net.org/
* https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
* https://storage.googleapis.com/openimages/web/index.html
* https://github.com/philipperemy/timit
* https://www.nist.gov/programs-projects/face-recognition-grand-challenge-frgc

= NLP =

* https://ru.wikipedia.org/wiki/GPT-3
* https://russiannlp.github.io/rugpt-demo/
* https://copy.ai
* https://github.com/sberbank-ai/ru-gpts

= Железо и драйверы =

* https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal
* https://www.tensorflow.org/install/gpu
* https://cloud.google.com/tpu/

= Темы =

* https://en.wikipedia.org/wiki/Outline_of_artificial_intelligence#Branches_of_artificial_intelligence

== Face Recognition ==
* https://github.com/ageitgey/face_recognition
* https://cmusatyalab.github.io/openface/

== Speech Recognition ==
* https://pypi.org/project/SpeechRecognition/

== Image Object Recognition ==

* https://imageai.readthedocs.io/en/latest/
** https://stackabuse.com/object-detection-with-imageai-in-python/
** https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606

== Anomaly Detection ==
== Prediction ==

== StereoVision ==

* https://medium.com/stereopi/opencv-and-depth-map-on-stereopi-tutorial-62cb6792bbed

= Anaconda =

* https://www.anaconda.com/products/individual
* https://docs.anaconda.com/anaconda/install/linux/
* https://mas-dse.github.io/startup/anaconda-ubuntu-install/

= TensorFlow =

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<embedvideo service="youtube" dimensions="800x450">https://www.youtube.com/watch?v=tPYj3fFJGjk</embedvideo>

= Некоторые полезные ресурсы =

* https://ods.ai/
* https://en.wikipedia.org/wiki/Outline_of_artificial_intelligence
* https://en.wikipedia.org/wiki/List_of_artificial_intelligence_projects
* https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
* http://wordnet.princeton.edu/
* http://project.phil.spbu.ru/RussNet/index_ru.shtml
* http://wordnet.ru/
* http://www.vision.caltech.edu/Image_Datasets/Caltech101/
* https://www.scipy.org/
* http://www.numpy.org/
* http://leenissen.dk/fann/html/files/fann_train-h.html
* https://archive.ics.uci.edu/ml/datasets/mushroom
* https://archive.ics.uci.edu/ml/index.php
* https://www.kaggle.com/
* https://keras.io/
* https://xgboost.readthedocs.io/en/latest/
* https://lasagne.readthedocs.io/en/latest/
* http://deeplearning.net/software/theano/index.html
* https://catboost.yandex/
* https://arxiv.org/
* https://arxiv.org/list/cs.CV/recent
* https://yandex.ru/dev/catboost/

* [[Теория вероятностей]]

= Готовые нейронки =

== Видеомонтаж ==
* Adobe Premere Pro
* Final Cut Pro
* iMovie
* Filmora
* HitFilm Express
* DaVinci Resolve
* Camtasia
* Lightworks
* Shortcut
* OpenShot
* VSDC Free Video Editor
* Blender
* Avid Media Composer
* Movavi Video Editor
* VideoPad
* Magisto
* Animoto
* Lumen5
* IvVideo
* Clipchamp

== Создание контента ==
* Answer ThePublic
* Ahrefs
* SEMrush
* Moz
* Google Trends
* Ubersuggest
* BuzzSumo
* Social Animal
* ContentStudio
* Brand24
* Mention
* Feedly
* Quora
* Reddit
* Trendspottr
* BuzzStream
* Sprout Social
* Hootsuite Insights
* Followerwonk
* Nuzzel

== Автоматизация ==

* Buffer.com
* Hootsuite.com
* Later.com
* Sprout Social
* CoSchedule
* Zoho Social
* Loomly
* Sendible
* SocialBee
* Crowdfire
* Agorapulse
* Tailwind
* MeetEdgar
* SocialPilot
* Planoly
* Post Planner
* Iconosquare
* Pallyy
* RecurPost
* IFTTT

== Копирайтинг ==

* Grammarly
* Hemingway Editor
* Copy.ai
* Writesonic
* Jarvis (now Jasper)
* ProWritingAid
* QuillBot
* CoSchedule
* Portent's Content Generator
* Slick Write
* TextExpander
* CopySmith
* INK Editor
* Outranking
* Conversion.ai
* Copyscape
* Clearscope
* Frase
* SurferSEO
* ContentBot

== Графический дизайн ==

* Affinity Designer
* Adobe Spark
* Crello
* Pictochart
* Stencil
* Snappa
* Visme
* Desygner
* PicMonkey
* Easil
* Fotor
* Venngage
* Befunky
* RelayThat
* DesignBold
* FootJet
* Gravit Designer
* Pixlr
* Canva
* Inkscape

== Маркетинг ==

* Hootsuite
* Buffer
* Sprout Social
* HubSpot
* Marketo
* SEMrush
* Brandwatch
* Falcon.io
* Mailchimp
* Ahrefs
* Canva
* AdSpresso
* BuzzSumo
* CoSchedule
* SocialBee
* Sendible
* Later
* Loomly
* Agorapulse
* ContentStudio

== Изображения ==

* Shutterstock
* Getty Images
* Adobe Stock
* iStock
* Pexels
* Unsplash
* Pixabay
* Freepik
* Videvo
* Pond5
* Dreamstime
* Depositphotos
* Canva (stock library)
* Envato Elements
* Alamy
* Motion Array
* Videezy
* Clipstill
* Stocksy
* Dessolve