Машиннное обучение | Наука о данных Библиотека
16.9K subscribers
759 photos
10 videos
21 files
656 links
админ - @workakkk

@ai_machinelearning_big_data - Machine learning

@itchannels_telegram - 🔥лучшие ит-каналы

@pythonl - Python

@pythonlbooks- python книги📚

@datascienceiot - ml книги📚

№ 5037635661
Download Telegram
Building Machine Learning Pipelines. Automating Model Life Cycles with TensorFlow

GitHub
👍4
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques (2020)

GitHub
👍5
A Python Data_Analyst’s Toolkit Learn Python

Github
7👍1
Transformers for Natural Language Processing (2021)

Github
👍5
Practical Deep Learning: A Python-Based Introduction (2021)

Github
👍4
Data Pipelines Pocket Reference (2021)

Github
👍7
Deploy Machine Learning Models to Production

Github
👍3👎1
Практическое Глубокое обучение для Облачных сервисов, мобильных платформ, и передовых устройств

Github
🥰3👍2
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Github
👍3🏆1
AI as a Service: Serverless machine learning with AWS (2020)

Github
👍3🏆1
Machine Learning with R, the tidyverse, and mlr (2020)

Github
👍3
Soft Computing and Machine Learning with Python
Zoran Gacovski (2019)

Github
👍31🔥1
Data Science on AWS (2021)

GitHub
👍51👎1🔥1
Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming

Github
👍2🏆1
Data Governance: The Definitive Guide 2021

Github
👍3
Essential Calculus Skills Practice Workbook with Full Solutions

Github
👍71🥰1