Subscribe to DSC Newsletter
Algolytics
  • Male
Share on Facebook
Share

Gifts Received

Gift

Algolytics has not received any gifts yet

Give a Gift

 

Algolytics's Page

Latest Activity

Yassine Faihe commented on Algolytics's blog post Tutorial: How to determine the quality and correctness of classification models? Introduction
"What about the iterations and folds? Obviously, the model won't be validated based on a single split. Should there a nested 'loop', i.e. first extract the testing set then run for instance 10-folds cross-validation on the remaining…"
Dec 26, 2018
Hitesh Gorana liked Algolytics's blog post Predictive Analytics for Beginners – part 1
Jun 2, 2018
Ron Edouard liked Algolytics's blog post Predictive Analytics for Beginners – part 1
Mar 16, 2018
Prasanth liked Algolytics's blog post Tutorial: How to determine the quality and correctness of classification models? Introduction
Jan 25, 2018
ANISH XAVIER liked Algolytics's blog post How to assess quality and correctness of classification models? Part 4 - ROC Curve
Nov 7, 2017
Ali Awadh liked Algolytics's blog post Predictive Analytics for Beginners – part 1
Oct 9, 2017
Ali Awadh liked Algolytics's blog post Predictive Analytics for Beginners – part 1
Oct 9, 2017
prasadnarasimhan commented on Algolytics's blog post Understanding Machine Learning: How machines learn?
"Yes the ball and paper  is a nice metaphor. The  Object  recognition techniques using the classification and further algorithms , based on the features of the object. Which feature to consider during the evaluation are the major…"
Jul 15, 2017
Hariprasath liked Algolytics's blog post Understanding Machine Learning: How machines learn?
Apr 26, 2017
Ashish Gupta liked Algolytics's blog post Understanding Machine Learning: How machines learn?
Apr 22, 2017
Rick Henderson commented on Algolytics's blog post Understanding Machine Learning: How machines learn?
"The bowling ball and paper are a nice metaphor."
Apr 21, 2017
Abhishek Pathak commented on Algolytics's blog post Understanding Machine Learning: How machines learn?
""Its task is not to understand the sense of reality but to find recurrent patterns, which we humans can make sense of and use them in our lives to predict the unknown." -- features selection process for the prediction  "
Apr 20, 2017
Hojat Bay liked Algolytics's blog post Understanding Machine Learning: How machines learn?
Apr 20, 2017
Rania Mkhinini Gahar liked Algolytics's profile
Apr 20, 2017
Rania Mkhinini Gahar liked Algolytics's blog post Understanding Machine Learning: How machines learn?
Apr 20, 2017
Algolytics posted a blog post

Understanding Machine Learning: How machines learn?

“If (there) was one thing all people took for granted, (it) was conviction that if you feed honest figures into a computer, honest figures (will) come out. Never doubted it myself till I met a computer with a sense of humor.”― Robert A. Heinlein, The Moon is a Harsh Mistress This post is the first in a series of articles in which we will explain what Machine Learning is. You don’t have to have formal training or experience in data analysis. We will write using simple language, without…See More
Apr 19, 2017

Profile Information

Short Bio
Algolytics is software development company offering tools for Predictive Analytics, Data Quality, Social Network Analysis and other advanced data analysis tasks.

Sign up for our newsletter:
http://algolytics.com/contact/newsletter/
My Web Site Or LinkedIn Profile
http://algolytics.com/
Professional Status
Other
Years of Experience:
14
Your Company:
Algolytics
Interests:
Networking, New venture
What Other Analytical Website do you Recommend?
http://algolytics.com/blog/

Algolytics's Blog

Understanding Machine Learning: How machines learn?

Posted on April 13, 2017 at 4:00am 3 Comments

“If (there) was one thing all people took for granted, (it) was conviction that if you feed honest figures into a computer, honest figures (will) come out. Never doubted it myself till I met a computer with a sense of humor.”

― Robert A. Heinlein, The Moon is a Harsh Mistress

 

This post is the first in a series of articles in which we will explain what Machine Learning is. You don’t have to have formal training or…

Continue

Correlation does not imply causation

Posted on December 13, 2016 at 4:30am 1 Comment

A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be the equivalent of “there is causation between variables”. It’s important to explain the distinction: Correlation means that once we know how one variable changes we can make reasonable deductions about how other variables change There are several variants of correlation:

1. Positive…

Continue

Understanding machine learning #3: Confusion matrix - not all errors are equal

Posted on November 13, 2016 at 4:30am 0 Comments

One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we have a model which, based on historical data, calculates if a client will pay back credit obligations. We evaluate 100 bank customers and our model correctly guesses in 93 instances. That may appear to be  a good result – but is it really? Should we consider a model with 93% accuracy as adequate?

It depends. Today, we…

Continue

Understanding machine learning: Do we need machine learning at all?

Posted on October 13, 2016 at 4:30am 0 Comments

In the previous post of our Understanding machine learning series, we presented how machines learn through multiple experiences. We also explained how, in some cases, human beings are much better at interpreting data than machines. In many tasks machines still can’t replace humans, who understand surrounding reality better and can make more accurate decisions.

Machines can be given a…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service