https://www.analyticsvidhya.com/blog/2016/08/deep-learning-path/?utm_content=bufferd56c5&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
#Deep_Learning, a prominent topic in #Artificial_Intelligence domain, has been in the spotlight for quite some time now. It is especially known for its breakthroughs in fields like Computer Vision and Game playing (Alpha GO), surpassing human ability. Since the last survey, there has been a drastic increase in the trends. (click here to check out the survey)
Here is what Google trends shows us:
http://www.aparat.com/v/0scM5
Irene Chen A Beginner's Guide to Deep Learning.
What is #Deep_Learning ? It has recently exploded in popularity as a complex and incredibly powerful tool. This talk will present the basic concepts underlying deep learning in understandable pieces for complete beginners to #machine_learning.
http://www.aparat.com/v/Corus
Advanced users #Deep_Learning, anyone who has followed #machine_learning over the past years has heard it. In this talk I will go past the hype and show what deep learning actually means and how one goes about solving complex machine learning task with a minimum amount of code, with the help of theano, an amazing python library for deep learning.
https://django-ai.readthedocs.io/en/latest/readme.html
#Artificial_Intelligence for #Django
django-ai is a collection of apps for integrating statistical models into your Django project so you can implement #Machine_Learning conveniently.
http://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html#.WdGzWthHcEo.linkedin
30 Essential #Data_Science , #machine_learning & #Deep_Learning Cheat Sheets
http://codeinpython.com/tutorials/deep-learning-tensorflow-keras-pytorch/?nonamp=1
Deep Learning #Tensorflow vs #Keras vs #PyTorch
#Deep_learning is the application of artificial #neural_networks (ANNs) to learn tasks. These tasks contain more than one hidden layer. Deep learning is part of a broader family of #machine_learning. Machine learning itself is a part of #Artificial_Intelligence(#AI).
https://hackernoon.com/absolute-fundamentals-of-machine-learning-dca5deee78df?gi=2c99287cb9f5
#machine_learning , what a buzzword. I’m sure you all want to understand machine learning, and that’s what I’m going to teach in this article.
I found that learning the theroetical side alongside the programming side makes it easier to learn both, so this article features both easy to understand mathematics and the algorithms implemented in Python. Also, technology becomes outdated — fast. The code used in this tutorial will likely be meaningless in 5 years time. So for that reason, I’ve decided to also teach the mathematical side to Machine Learning that will not die out in a few years.
https://www.udemy.com/machinelearning/learn/v4/content
#machine_learning A-Z™: Hands-On #Python & R In #Data_Science
https://machinelearningmastery.com/setup-python-environment-machine-learning-deep-learning-anaconda/
It can be difficult to install a #Python#machine_learning environment on some platforms.
Python itself must be installed first and then there are many packages to install, and it can be confusing for beginners.
In this tutorial, you will discover how to set up a Python machine learning development environment using #Anaconda.
http://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html
#Cheat_Sheet, #Data_Science, #Deep_Learning, #Machine_Learning, #Neural_Networks, #Probability, #Python, R, #SQL, #Statistics
This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools