Learn Data Science- Machine Learning Deep learning
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v1.1.0 von Learning Hub - ML, Deep Learning, AI, DL, Coding
Über Learn Data Science
Learn Data Science (Paketname: com.learn.tech.datascience) wird von Learning Hub - ML, Deep Learning, AI, DL, Coding entwickelt und die neueste Version von Learn Data Science- Machine Learning Deep learning 1.1.0 wurde am 29. September 2018 aktualisiert. Learn Data Science- Machine Learning Deep learning liegt in der Kategorie von Lernen. Sie können alle Apps von dem Entwickler der Learn Data Science- Machine Learning Deep learning durchsuchen. Derzeit ist diese APP kostenlos. Diese App kann auf Android 4.1+ auf APKFab oder Google Play heruntergeladen werden. Alle APK/XAPK Dateien auf APKFab.com sind original und 100% sicher, schnell herunterzuladen.
Experts curated learning resources & Cheatsheets for analytics, data science professionals & beginners. Trending topics and articles on machine learning (ML), deep learning (DL), artificial intelligence (AI), natural language processing (NLP) and data visualisation from Kaggle, data camp, Data Quest, Analytics Vidhya, FlowingData, Reddit and Medium blogs.
No more endless browsing required to learn data science concepts and get cheatsheets.
Learn data science anywhere, anytime!
Sources of Articles-
Kaggle blog
KD Nuggets
Data Camp
Dataquest
Analytics Vidhya
Reddit
Data School
Flowing Data
Towards Data Science
Simply Statistics
Content topics & sources-
Python
Computer Vision
keras
list of pretrained models
neural networks
object detection
Pretrained model
Deep Learning
Machine Learning
Python
data science
deep learning
github repositories
machine learning
python
Reddit
Reddit discussions
list of pretrained models
neural networks
object detection
Some of the posts are-
Model a basic trading strategy in python: from idea to execution...
FPGA Synthesis of Tensorflow Deep Neural Networks
Understanding Support Vector Machine algorithm from examples (along with code)
Practicing Machine Learning Techniques in R with MLR Package
Getting Alexa to Respond to Sign Language Using Your Webcam and TensorFlow.js
Extracting additional features from a dataset using neural networks
Artificial Intelligence (AI) emulates how people think — Artificial Emotional Intelligence (AEI) emulates how people feel
Create a recurrent neural network that learns to loop a variable ?
Help regarding model of LSTM Network
Is it possible to use U-net in a cGAN?
A Complete Tutorial to Learn Data Science with Python from Scratch
Essentials of Machine Learning Algorithms (with Python and R Codes)
Solving Multi-Label Classification problems (Case studies included)
Difference between Machine Learning & Statistical Modelling
30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016
7 Types of Regression Techniques you should know!
A Complete Tutorial on Ridge and Lasso Regression in Python
How to use Multinomial and Ordinal Logistic Regression in R ?
30 Questions to test your understanding of Logistic Regression
A Complete Tutorial on Tree Based Modeling from Scratch in R & Python
6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
How Decision Tree model is different from Random Forest?
A Complete Tutorial to Learn Data Science with Python from Scratch
Essentials of Machine Learning Algorithms (with Python and R Codes)
Difference between Machine Learning & Statistical Modelling
7 Types of Regression Techniques you should know!
A Complete Tutorial on Ridge and Lasso Regression in Python
How to use Multinomial and Ordinal Logistic Regression in R ?
30 Questions to test your understanding of Logistic Regression
A Complete Tutorial on Tree Based Modeling from Scratch in R & Python
The most comprehensive Data Science learning plan
6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
Solving Multi-Label Classification problems (Case studies included)
A Complete Tutorial on Time Series Modeling in R
Understanding Support Vector Machine algorithm from examples (along with code)
Practicing Machine Learning Techniques in R with MLR Package
No more endless browsing required to learn data science concepts and get cheatsheets.
Learn data science anywhere, anytime!
Sources of Articles-
Content topics & sources-
Some of the posts are-
A Complete Tutorial to Learn Data Science with Python from Scratch
Essentials of Machine Learning Algorithms (with Python and R Codes)
Difference between Machine Learning & Statistical Modelling
7 Types of Regression Techniques you should know!
A Complete Tutorial on Ridge and Lasso Regression in Python
How to use Multinomial and Ordinal Logistic Regression in R ?
30 Questions to test your understanding of Logistic Regression
A Complete Tutorial on Tree Based Modeling from Scratch in R & Python
The most comprehensive Data Science learning plan
6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
Solving Multi-Label Classification problems (Case studies included)
A Complete Tutorial on Time Series Modeling in R
Understanding Support Vector Machine algorithm from examples (along with code)
Practicing Machine Learning Techniques in R with MLR Package
Learn Data Science 1.1.0 Update
apologies for the quick update, a small bug had to be fixed!machine learning cheatsheets & tutorials
more content to learn analytics & data science
now you can share content with friends
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Learn Data Science Besonderheiten
Frühere Versionen
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Requires Android: Android 4.1+
Screen DPI: 120-640dpi
SHA1: 4b0cf1c061d0f97321ebae784a914fb60a0a319e
Size: 5.05 MB
What's New:
apologies for the quick update, a small bug had to be fixed!
machine learning cheatsheets & tutorials
more content to learn analytics & data science
now you can share content with friends
machine learning cheatsheets & tutorials
more content to learn analytics & data science
now you can share content with friends
Requires Android: Android 4.1+
Screen DPI: 120-640dpi
SHA1: c48f52fbd980c98befe3c51c99002fa8471260cb
Size: 5.03 MB
What's New:
machine learning cheatsheets & tutorials
more content to learn analytics & data science
now you can share content with friends
more content to learn analytics & data science
now you can share content with friends
Mehr Information
Paketnamen:
Aktualisierungsdatum:
2018-09-29
Letzte Version:
1.1.0
Update brauchen:
Anforderungen:
Android 4.1+
Meldung:
Sich herunterladen
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