Machine Learning

What is AGI?

Let’s start at the beginning. Why do we even need this term?

60 years ago when the term ‘AI’ was coined, the ambition was to build machines that can learn and reason like humans. Over several decades of trying and failing (badly), the original vision was largely abandoned…

What kind of articles are more likely to be shared on social platforms?

An approach with decision trees via random forests vs. boosting

Background

A friendly introduction to Neural Networks and Deep Learning

Artificial Intelligence, Automation, and the Economy

AI Q&A / September 2015

A few thoughts on artificial intelligence

SDC ND Project 1 — Finding Lane Lines With Kalman Filter

Hi, all.

This is my implementation of the draw_lines() function for Project 1 of Udacity’s Self Driving Car Nanodegree, using a Kalman filter instead of a low pass filter.

How greedy your reinforcement algorithm shall be? A working example in Ruby

This is a part of reinforcement algorithm study posts.
Part 1 is available here:

Trusting the machine: AI will reveal art, beauty, and the hidden diamonds

Lorenz Aschoff, EyeEm…

SaaS and AI: How Artificial Intelligence is Changing SaaS Channel Sales

2017 AI Predictions: Personalization, Predictive Analytics and Decision-Making Systems

An online version of Manhattan’s Fifth Avenue

A decade ago, the e-commerce wave took the lifestyle industry by surprise. As…

Logistics Providers Embrace HubTran Back-Office Automation

New 3PL Accounts Indicate Rapid Industry Adoption

Chicago IL — November 15, 2016 — HubTran today released the names of 11 third-party logistics providers who have…

Five simple tips for machine learning and natural language processing students/researchers in biomedical informatics (and other applied domains)

As data science progresses rapidly, there are an increasing number of opportunities…

Use Mini Auto Papad Making Machine In Your Papad industry

Papad is also an object of business at present. In this industry, there are needs of machines also. It makes the process of papad making an easy one but the output is huge.

Great ideas in this piece, thanks for sharing! At CloudFactory we see the frustration of data scientists and engineers having to prepare the data everyday. The statistic that says 60% of a data scientist’s time is spent on data prep is mind boggling and is surely slowing innovation. Part of the acceleration process has to come from building the…

This is a good post.

Media is full of all such crappy news. They blindly re-use what MIT is saying; be it Business Insider, Gizmodo, Telegraph, Wired, The Next Web, Engadget, Techspot, Motherboard.vice, and much more …

Media is so full of half-baked news that algorithms will do everything and will…