Learn Data Science

Machine Learning Deep learning

1.1.0 par Learning Hub - ML, Deep Learning, AI, DL, Coding
Sep 29, 2018 Anciennes versions

À propos de Learn Data Science

Application la plus simple pour apprendre l'analytique, la science des données, l'apprentissage automatique, l'apprentissage en profondeur

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.

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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

Quoi de neuf dans la dernière version 1.1.0

Last updated on Sep 30, 2018
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Dernière version

1.1.0

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Edclaudio Santos

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Android 4.1+

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