Bibliography, Courses, Tutorials, Code, examples and related material. 🔅Data Science 🔅Artificial Intelligence 🔅Neural Networks 🔅Machine Learning (ML) 🔅Deep Learning (DL) ———————————————- Bibliografía, Cursos, Tutoriales, Código, ejemplos y material
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Applied Machine Learning: Feature Engineering
Читать полностью…📦 Exercice Files
Читать полностью…🔰 Deep Learning: Getting Started
🎟2021-11-17 • ⏱1h 8m • 💡Intermediate
🗣 Kumaran Ponnambalam
Learn the basics of deep learning and get up and running with this technology.
📦 Topics: Deep Learning
Pandas for Everyone - Daniel Chen (2023)
Читать полностью…Data Analytics: Graph Analytics
Читать полностью…Natural Language Processing with Python and spaCy: A Practical Introduction
Authors: Yuli Vasiliev
Year: 2020
Edition: 1
Statistics with Julia (Springer Series in the Data Sciences) - Springer (2021) - Yoni Nazarathy, Hayden Klok
Читать полностью…Julia for Data Science-Technics Publications (2016) - [Zacharias Voulgaris PhD]
Читать полностью…Becoming a Data Head
Читать полностью…TensorFlow: Working with NLP
Читать полностью…Learning Microsoft Power BI
OReilly
2022
Machine Learning y Data Science: Curso Completo con Python 3
⏱31 Horas
#udemy
https://www.youtube.com/watch?v=JuMEmF-2FsA
Читать полностью…📦 Exercice Files
Читать полностью…🔰 Applied Machine Learning: Feature Engineering
🎟2020-08-10 • ⏱2h 26m • 💡Intermediate
🗣 Derek Jedamski
Extract the maximum value from your data using feature engineering. Learn how to clean, normalize, and create features to improve the performance of your machine learning models.
📦 Topics: Machine Learning
Deep Learning: Getting Started
Читать полностью…📖 Cracking the SQL Interview for Data Scientists: Nervous about your SQL Interview? Anxiety ends here. Learn, refresh and master SQL Skills in a Week.
#SQL #Cracking
MATLAB para investigación en Neurociencia
Análisis de datos de actividad cerebral a través de MATLAB
🔓@udemy_down
#udemy
🔰 Data Analytics: Graph Analytics
🎟2021-10-07 • ⏱19m • 💡Beginner
🗣 Heather Johnson
Learn the fundamentals of graph analytics—an up-and-coming approach to tackling data science projects—in this concise course.
📦 Topics: Data Analytics
Genetic Algorithms in Python and MATLAB
A Practical and Hands-on Approach
#udemy
Data Science with Julia-CRC Press (2019)
Читать полностью…Hands-On Computer Vision with Julia-Packt Publishing (2018)
Читать полностью…#datascience raodmap
Читать полностью…🔰 TensorFlow: Working with NLP
🎟2022-02-02 • ⏱41m • 💡Intermediate
🗣 Jonathan Fernandes
Learn about using transformers in natural language processing with TensorFlow.
📦 Topics: Natural Language Processing, TensorFlow
Machine Learning for Cybersecurity
@Pentesting_SecurityOPs #eng
Power BI Modelado de datos con DAX
Читать полностью…Big Data y ciencia de datos - Platzi Mejorando.la
Читать полностью…