The Keras library provides an approachable interface to deep learning, making…
Little disclaimer: some of the information in this blog post might be incorrect. It will most probably become out-of-date very soon too. In any case, I would appreciate any feedback!
Tensorflow has been the most popular open source software library for high performance numerical…
An overview of model interpretability methods… and why it’s important.
In this short blog post, I will show you how to use tSNE on Lat/Lng coordinate pairs to create a…
Random Forest is one the most popular and common machine learning algorithms, because of it’s simplicity and it’s flexible that it can be used in classification as well as in regression based…
Machine learning can be started in many ways, the popular one is from what Andrew Ng taught at Stanford which can be accessed on coursera.org. The input of machine learning is data and the data has an aspect of…
Google’s TensorflowJS is exciting because of multiple advantages it has over the traditional Tensorflow Python (being able to run models in the browser, for example). But due to it being so new, there are far fewer accompanying libraries for…
Robert Chang의 Using Machine Learning to Predict Value of Homes on Airbnb을 번역했습니다.
In this notebook we would be exploring the world of text based analysis in the world of machine learning. In this analysis I looked to learn as much…
In recent times the neural network based learning system has got a lot of attention. The reason for this attention is that these systems are getting good at lot many tasks , in some even better than human.This ability for a system to learn things is due to there ability…
Originally published at spark-in.me on August 12, 2018.
Originally published at spark-in.me on July 15, 2018.
This article is a follow-up transcription to a talk I recently gave at a local Munich machine learning meetup…
It was an awesome Saturday, it is the second Saturday in the 16 weeks AI Saturdays Ibadan chapter, we had a great time tidying up on the first Saturdays, especially when you have different great minds coming together.
Descriptive statistics on the whole dataset
To understand what questions we might be able to formulate, it is helpful to take a quick glance at the dataset as a whole. Perhaps we can answer…
Deep learning for object recognition/image processing is one of the greatest technological marvels in recent years — from “super-human accuracy” in categorizing objects, day-dreaming robot artists, to sinister…
This post summarizes very briefly the work done during the GSoC period and probably serves as a report of all the implementations and a transcript of the discussions I had with my mentors. I’m hoping that this will help future contributors get an idea of what’s done and what’s…
To perform a multiple regression a few steps have to be performed first.
Analysis of how participants in an international innovation competition attempted to cheat their way to the prize money.
https://www.nation.co.ke/newsplex/onlinevoting/2718262-4684756-tub3gp/index.html
Previously I have mentioned in this article on the personalised context based query.
Lets try a query and try to figure out factors of Personalization for the query and rank relevant results for it.
Previously we have seen how basic feed-forward networks work with the weight-bias initialization, back-propagation and gradient descent.Now we shall look at another type of neural network, yes there are more than one! Particularly a convolutional neural…
A 30-minute of Uber ride stretching to excruciating 4 hours is not something unusual in Bangalore. Yet, it couldn’t attack the energy levels and enthusiasm we had inside to speak at the Intel AI Devcon’18 event on 8th August. The ITC Gardenia’s…
In our life, we use the scalar to describe a lot of things, such as the length of object, the height of a person, the temperature which can be high or low, and the air pollution index. For any of these, we need a number and a unit, such…
Ideas from: The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity
1. Overview
RTCSE-2019 is the chief discussion for the introduction of Advancement in technology and research comes about. Every one of the members is urged for their…
Fiducia on the variance is derived from Chi-square distribution.
