Here's a simple 7 Step Guide to learn #DataScience and #Machine_learning with R:
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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

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

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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

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Machine Learning Behavioral Recognition to Support Neuropsychological Diagnosis of Cognitive Decline

#Neuropsychological

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Intro to Deep Learning with PyTorch By Facebook AI

✅ Free Course

#Deep_Learning #DL #PyTorch

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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

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Rules of Machine Learning: Best Practices for ML Engineering

#ML #Big_Data #Training

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VID2VID: Video-to-Video Synthesis

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

#Paper

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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

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

#ML #AI #BigData #DL ##neuralnetworks

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Twenty things I wish I’d known when I started my PhD

Recommened By Jeff Dean and Russ Poldrack

#Paper

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Nasdaq Financial Framework to Build Ledger Agnostic Blockchain With Microsoft Azure

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New NLP News:

ML on code, Understanding RNNs, Deep Latent Variable Models, Writing Code for NLP Research, Quo vadis, NLP?, Democratizing AI, ML Cheatsheets, Spinning Up in Deep RL, Papers with Code, Unsupervised MT, Multilingual BERT

#NLP #ML #DL #Training #RNN #RL

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✅ Free Book Online

Artificial Intelligence in Business Gets Real

By S. Ransbotham, P. Gerbert, M. Reeves, D. Kiron, and M. Spira

#book

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