Need to be familiar with python? here’s selected guides

Before start to code, is good to know some implementation machine learning in business and the end goal

✅ Step 1. Understand Data Science Implementation
https://lnkd.in/fMHtxYP

✅ Step 2. Understand what business want
https://lnkd.in/f396Dqg

✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W

✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM

✅ Step 5

Some Machine Learning Project (On Marketing you can start)
https://lnkd.in/fUDGAQW

Now, Here’s some guides on python

1. Python Knowlege for Interview https://lnkd.in/fr_rXY8

2. Data Cleansing with Python https://lnkd.in/f8WNGAp

3. Pandas Visual Cheatsheet https://lnkd.in/fCHYexn

4. Complete python cheatsheet for beginner https://lnkd.in/f6NBqSt

#business #machinelearning

✴️ @AI_Python_EN

Ultimate Guide To Speech Recognition With
Python

#python #ai #machinelearning #artificialintelligence #speechrecognition #technology #tutorial #datascience

✴️ @AI_Python_EN

AI in Law Enforcement


Automatic Number Plate Recognition (ANPR) technology is used to help detect, deter and disrupt criminal activity across Buildings/Streets. OpenALPR is most popular library for this

Credit: Simplify 8
#technology #innovation #machinelearning

✴️ @AI_Python_EN

A Full Hardware Guide to Deep Learning

🌎 http://bit.ly/2CBNi3W

#DeepLearning #MachineLearning #AI #DataScience

✴️ @AI_Python_EN

Cool self supervised #machinelearning #deeplearning #neuralnetwork from #tensorflow

🌎 Link

✴️ @AI_Python_EN

"How to build a State-of-the-Art Conversational AI with Transfer Learning"

Tutorial by Thomas Wolf: https://lnkd.in/euUwHqM

Code: https://lnkd.in/eCiirKu
Demo: https://lnkd.in/eeGCW4a
Ethics & values: https://lnkd.in/ew7VNJ3

#artificialintelligence #aiethics #deeplearning #ethics
#technology

✴️ @AI_Python_EN

5 things which have caught my attention this week:

1. Open-source state-of-the-art conversational #AI

Thomas Wolf wrote a great blog post summarising how the HuggingFace team built a competition winning conversational AI.

All done in 250 lines of refactored PyTorch code! 🔥

Read more: http://bit.ly/2JyEJf7

2. Open-source #DataScience Degree

Online learning is growing. Not everyone has access to the best colleges but thanks to the internet, more and more people have access to the worlds best knowledge.

The Open Source Society Unversity contains pathways you can use to take advantage of the internet to educate yourself.

Repo: https://github.com/ossu

3. GitHub Learning Lab

I need to get better at GitHub.

So I've been using the GitHub learning lab, a free training resource from The GitHub Training Team.

Get committing: https://lab.github.com/

4. 30+ #deeplearning best practices

This forum post from fast.ai collates some of the best tidbits for improving your models.

My favourite is the cyclic learning rate.

Read more: http://bit.ly/2JuyVU6

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5. A neural network recipe from Tesla's AI Lead Training neural networks can be hard.

But there are a few things you can do to help.

And Andrej Karpathy has distilled them for you: http://bit.ly/2JB1H5E

✴️ @AI_Python_EN

Machine Learning overview

#machinelearning #datascience

✴️ @AI_Python_EN

ot Unbalanced Dataset to analyse and confused how to use data strategically to get unbiased results
approach to handle unbalanced data
https://lnkd.in/dZHXigP

#datascience #unbalanced #data #analyse

✴️ @AI_Python_EN

The bigger the data, the more accurate it is and the more value it has to decision-makers. Modern #machinelearning methods and #ArtificialIntelligence are now able to extract meaning from data without resorting to theory. Bigger is necessarily better.

Or maybe not.

✴️ @AI_Python_EN

Microsoft Research Asia: Past, Present, and Future of #NLP

https://bit.ly/2VTqk3W

✴️ @AI_Python_EN

"Leading your organization to responsible AI"

http://bit.ly/2WoekED

#AI #Artificialintelligence #MI #MachineIntelligence
#ML #MachineLearning #DL #Analytics #BigData #IoT

✴️ @AI_Python_EN

Dataset Bridges Human Vision and Machine Learning

🌎 Dataset Bridges Human Vision

#HumanVision #MachineLearning

✴️ @AI_Python_EN

An Empirical Study of Example Forgetting During Deep Neural Network Learning
Joint work with Alessandro Sordoni, Remi Tachet, Adam Trischler, Yoshua Bengio, and Geoff Gordon

Paper: http://bit.ly/2H8yQUg
Code: http://bit.ly/2vMH6mw

✴️ @AI_Python_EN

Python for Data Science ***Quick Reference Sheet***

#python #dataanalysis #datascience #machinelearning #deeplearning

✴️ @AI_Python_EN

As the author states: "work in process and even in an early dirty phase"
But still very cool 🙂

Book: Predictive Models: Visual Exploration, Explanation and Debugging With examples in R and Python By Przemyslaw Biecek


#book #datascience #machinelearning #statistics #programming_language

🌎 Book

✴️ @AI_Python_EN

Transfer-Learning: Classification of 4 different types of Arctic Dog using Fast.AI library

#machinelearning #DeepLearning #TransferLearning

🌎 Transfer-Learning

✴️ @AI_Python_EN

Unified Language Model Pre-training for Natural Language Understanding and Generation

Dong et al.: https://lnkd.in/ez6xBKR

#ArtificialIntelligence #DeepLearning #MachineLearning

✴️ @AI_Python_EN

A Very Short History of Artificial Neural Networks

🌎 History of Artificial Neural Networks

#ArtificialNeuralNetwork #neuralnetworks #ReinforcementLearning #ANN #NN

✴️ @AI_Python_EN

Numpy ***100 Exercises***

#pythonprogramming #python #dataanalysis #datascience

✴️ @AI_Python_EN

Python Remote Access Trojan

The author does not hold any responsibility for the bad use of this tool, remember this is only for educational purpose.

#python #trojan #virus

✴️ @AI_Python_EN