If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
What a weird question!! That's what you would have thought after reading the headline. Perhaps you thought the word "NOT" was accidental. What I have described above is a Problem from an aspiring Data Scientist point of view. There is a bigger problem due to the "SHOULD KNOW" type of articles and the problem bearer are companies- both startups and big MNCs. What are the problems you ask?
Will try to make an attempt to explain with an example. But just trying to help. Approximately Model 1 carried similar error between Actual vs Predicted in both training and Test set. In other words the model is generic with high variance and lower bias. Model 2- Though was low on bias with closely predicted training set values, introduced very high variance in the the predicted score.
In this tutorial, I will demonstrate Orange, a tool for machine learning. Orange is an extremely easy-to-use, lightweight, drag-and-drop tool. More importantly, it is open source! If you are an Anaconda user, then you can find it in the console as shown in the following image -- a pure, fresh orange wearing sunglasses with a smile. Orange is a platform built for creating machine learning pipelines on a GUI workflow.
Training your model is hands down the most time consuming and expensive part of machine learning. Training your model on a GPU can give you speed gains close to 40x, taking 2 days and turning it into a few hours. However, this normally comes at a cost to your wallet. The other day I stumbled upon a great tool called Google Colab. I would describe Colab as the google docs equivalent of Jupyter notebooks.
Hi, I was asked to make some funny machine learning project that could detect how similar are you to a celebrity? Is there a easy pre-trained model that could do it? I'm ML practitioner and mostly worked with Keras and tensorflow so some simple model would be nice. The model doesn't have to be very accurate, this is just for a funny event, that we're having.
HealthcareGuys News is all about providing articles related to healthcare topics assembled and curated from selectively picked blog sites. Apart from providing the content, the site also provides different statistics and analytics like how many times the article was Tweetted, shared in Facebook or LinkedIn, liked by the healthcare enthusiasts, etc. The best part is, we can get to the most trending articles for each day, for the week, month, quarter or for a whole year based on the share count.
Predictive analytics and automation--through AI and machine learning--are increasingly being integrated into enterprise applications to support decision making and address critical issues such as security and business intelligence. Public cloud platforms like AWS offer dedicated services that allow companies to easily implement deep learning models, sometimes even without requiring specialized skills in data modeling or analytics.