🗒DeepDPM: Dynamic Population Mapping via Deep Neural Network.
📗PDF

#arXiv
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❇️ @ai_python

How to start learning artificial intelligence?

#Ai #Deep_Learning #Machine_learning


📍Machine Learnig with scikit-learn
👉 course
📍Machine Learning With Python
👉 Course
📍Machine Learning
👉 Course
📍Introduce Machine Learning
👉 Course
📍Principles and Methods of AI from Stanford University
👉 Course
📍Educational Resources MIT
👉 Courses
📍Artificial intelligence course Saylor
👉 Course
📍Educational Resources in Edx
👉 Course
📍Initial AI Training Resources Udacity
👉 Course
📍Berkeley University lecture videos
👉 Course
📍Training Deep Learning Google
👉 Course
📍Carnegie Mellon University Machine Learning Larry Wasserman
👉 Course
📍Neural Network Training for Artificial Intelligence
👉 Course
✅ Learn the theories of statistics, probability and mathematics

📍Linear Algebra Training
👉 Course
📍Statistics and probability training MIT
👉 Course
📍calculus
👉 Course 1 Course 2
📍Learning the theory of graph coursera
👉 Course
📍Method Optimization
👉 Course

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Why are GANs considered unsupervised learning?

#Machine_learning

🔔 Link Review

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Why Some Countries Are Poor and Others Rich? | Video
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✅ Primer for Learning Google Colab

#Deep_Learning #Training

🔔 Link Review

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Here's a simple 7 Step Guide to learn #DataScience and #Machine_learning with R:
−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−
Why R?
-Open Source
-Advanced Statistical Language
-Amazing graphs
-Runs on variety of platforms
-Made by statisticians

1. Download R Studio - https://lnkd.in/get9VyK

2. Learn the basic data structures & algorithms of R
Understand DataFrames - https://lnkd.in/g_qqYZG
Basics of R - https://lnkd.in/gY2DxTQ
DataCamp Introduction to R - https://lnkd.in/giMGbph

3. Do more practice problems with R
R-statistics : https://lnkd.in/gfC94Kb
DataCamp Intermediate R - https://lnkd.in/gk9AGd3

4. Learn Data Manipulation Libraries (Dplyr, tidyr, stringr)
Dplyr - https://lnkd.in/gAWusih

5. Data Visualization (ggplot2, ggvis, rgl, etc)
Ggplot2 Tutorial - https://lnkd.in/eThJXNr
R-Graph Gallery - https://lnkd.in/gkrsVM4
Shiny R Markdown - https://lnkd.in/gpSMh4a

6. Machine Learning Libraries (CARET, glmnet, car, etc..)
Machine Learning in 20min: https://lnkd.in/g-Su_um
Machine Learning with CARET: https://lnkd.in/gQH-PEP

7. Incorporate your Data Analysis and ML
David Langer R Series - https://lnkd.in/gxvmRNQ
Kaggle Titanic - https://lnkd.in/gRRa7HV

FINISH! 🥇
- - -
You R now on your way to success 🚀

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✳️ China state media Xinhua unveils #AI news anchor 😐
🌐 https://cnn.it/2DccFek

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Deep Learning Research Review Week 3: Natural Language Processing

#Machine_learning #Deep_Learning #Training

🌎 Link Review


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✳️ #Data_Science with #Python in #VSCode
🌐 http://bit.ly/VSCodeDataScience

❇️ @AI_Python

This series will teach you how to use Keras, a neural network API written in Python. Each video focuses on a specific concept and shows how the full implementation is done in code using Keras and Python. We will learn how to preprocess data, organize data for training, validation and testing, build an artificial neural network from scratch, train an artificial neural network, build a convolutional neural network (CNN) and much more!

#Deep_Learning #Keras #python #Neural_Network

🌎 Link Review

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Beginning Django: Web Application Development and Deployment with Python 2 and Python 3

What You'll Learn

❌ Get started with the Django framework
❌ Use Django views, class-based views, URLs, middleware, forms, templates, and Jinja templates
❌ Take advantage of Django models, including model relationships, migrations, queries, and forms
❌ Leverage the Django admin site to get access to the database used by a Django project.
❌ Deploy Django REST services to serve as the data backbone for mobile, IoT, and SaaS systems.
❌ OOP

#کتاب #جنگو #پایتون

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Text Generation for Char LSTM models

Train a character-level language model on a corpus of jokes.

#Machine_learning #Training

🌎 Link Review

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Machine Learning Behavioral Recognition to Support Neuropsychological Diagnosis of Cognitive Decline

#Neuropsychological

🌎 Link Review

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Intro to Deep Learning with PyTorch By Facebook AI

✅ Free Course

#Deep_Learning #DL #PyTorch

🌎 Link Review

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Using a Keras LSTM Model to Predict Stock Prices

This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice or use it to make any trades of your own.

#ML

🌎 Link Review

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🗣 @AI_Python_Arxiv
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Rules of Machine Learning: Best Practices for ML Engineering

#ML #Big_Data #Training

🌎 Link Review

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VID2VID: Video-to-Video Synthesis

Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation.

#Paper

🌎 Link Review


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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press:

#ArtificialIntelligence #MachineLearning #Math

🌎 Link Review

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Model evaluation, model selection, and algorithm selection in machine learning

#ML #AI #BigData #DL ##neuralnetworks

🌎 Link Review

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