Want to turn your #self_supervised method into a #semi_supervised learning technique? Check out
(https://arxiv.org/abs/1905.03670 )

#MachineLearning #DeepLearning #artificialintelligence

✴️ @AI_Python_EN

An amazing article to help you get started with #computervision - the author has explained 16 functions of the popular #OpenCV library and provided codes for each of them.
https://buff.ly/2CF3YIs

✴️ @AI_Python_EN

Earth Monitor: New geospatial tool makes planet-wide change detection possible in near real-time. Use of Satellite imagery combined with computer vision and machine learning.
#computervision #MachineLearning #technology

🌎 Earth Monitor

✴️ @AI_Python_EN

How to prepare students for the rise of artificial intelligence in the workforce - The Conversation - Canada Read more here:

http://bit.ly/2Hcad8l

#ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

✴️ @AI_Python_EN

arxiv.org/abs/1905.02175 : a strange imagenet-like dataset with very wrong-looking labels, yet a model trained on it does totally well on the normal validation set. It's a crime against #ML!
#machinelearning

✴️ @AI_Python_EN

High accuracy in computer vision and energy efficiency is your thing, sign-up today at https://lpirc.ecn.purdue.edu/ #CVPR2019 #TensorFlow
✴️ @AI_Python_EN

Top 10 FREE Deep Learning Courses via T. Scott Clendaniel

Link => http://bit.ly/10FreeDL

#ai #education #success #training #bigdata #data #datascience #artificialintelligence

✴️ @AI_Python_EN

Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning

Github : https://github.com/tensorflow/graphics

Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668

✴️ @AI_Python_EN

Step by Step Guide to Data Cleaning With Python(NumPy and Pandas)

#machinelearning #artificialintelligence #datascience #ml #ai #deeplearning #datacleaning #python

✴️ @AI_Python_EN

How comfortable are you working on #UnsupervisedLearning problems? Check out these 5 comprehensive tutorials to learn this critical topic:

1. An Introduction to #Clustering and it's Different Methods - https://lnkd.in/f2enbhy

2. Exploring Unsupervised #DeepLearning #Algorithms for #ComputerVision - https://lnkd.in/fSK7NNC

3. Introduction to Unsupervised Deep Learning (with #Python codes) - https://lnkd.in/fQT_cJ5

4. Essentials of #MachineLearning Algorithms (with Python and R Codes) - https://lnkd.in/fdEGhjf

5. An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning - https://lnkd.in/fFptJcG

✴️ @AI_Python_EN

Video of Kian Katanforoosh at #PyCon19, in which He reflect on the impact of AI and the importance of high-tech Education in LatAm: https://lnkd.in/gBG_-DQ

The outline is:
I - Handling #AI in LatAm
II - Technical recap on #ML
III - Case Studies
IV - Conclusion

✴️ @AI_Python_EN

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

-

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