# Elie

## Predict house prices with dense neural networks and tensorflow

In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes (for example, where a picture contains an apple or an orange, recognizing which fruit is in the picture).

## Multi Label Classification Of Texts With NLTK

MultiLabelClassification-with-nltk MULTI LABEL CLASSIFICATION WITH NLTK¶ In this tutorial, I will show you how to predict tags for a text. In this post, we will build a multi-label model that’s capable of detecting different types of toxicity in a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are: toxic severe_toxic obscene threat insult identity_hate The data set used can

## Neural Nets: Back propagation intuition

As I was preparing for a discussion with a group of friends on back propagation, I came across this video by professor Patrick Winston and I could not be happier. In only about 40 min, Prof Winston gives the most impressive intuition ever about what backpropagation is. Prof Winston starts from the definition of the problem and then follows through with the representation of the inputs. he uses a not normal

## Discrete Probability Distributions

8 Discrete Probability Distributions¶ 8.2 Binomial Distribution¶ The following code plots the probability mass function (PMF) of \$B_{p,n}\$, the binomial distribution with parameters \$p\$ and \$n\$. It contains interactive sliders that you can use to vary \$n\$ over the interval \$[0,30]\$ and \$p\$ over the interval \$[0, 1]\$. In [1]: %matplotlib inline Let us now load the required code and analyze it part by part. In [2]: # %load plot_pmf.py import numpy

## CONSIDERATIONS WHEN DESIGNING VOICE-ASSISTED APPS

AI and assisted voice apps have become a new trend in almost every news media, social networks, professional meetups and forums. You probably have watched the movie “Her” a 2013 American romantic science-fiction drama film written, directed and produced by Spike Jonze. The film follows Theodore Twombly (Joaquin Phoenix), a man who develops a relationship with Samantha (Scarlett Johansson), an intelligent computer operating system personified through a female voice. The

## Cost of Ignorance

You may find it hard to invest your time into learning new things. But be advised that the consequences of ignorance are even harder.

## Recommender systems are confining us into a digital imprisonment.

Gone are the times when you needed to be a handyman to get search engines returning what you are searching for. In today’s digital era you dare to watch a movie on Netflix and the next thing you will see is a rain of suggestions of movies that really match your taste, pouring on your screen. Youtube has moved from being a collection of videos to a personalized basket of

## Passion

The word “passion” originate from Latin “Pati” meaning “Suffer”. Now, Allow me to recall the say “Passion is key to success”. Elie G

## Grow a brain

The distensibility of your stomach increases as you eat. So does your brain when you feed it with knowledge. Grow your brain, read a book. Elie G

## Set up goals

Set up goals & enjoy subsequent expectations. if nothing happens at least you would have lived a dream. Elie G