Subscribe to DSC Newsletter

All Blog Posts Tagged 'Algorithms' (13)

The Anatomy of K-means

A complete guide to K-means clustering algorithm



Let’s say…

Continue

Added by Diego Lopez Yse on April 30, 2019 at 2:17pm — No Comments

The Complete Guide to Decision Trees

Everything you need to know about a top algorithm in Machine Learning

In the…

Continue

Added by Diego Lopez Yse on April 30, 2019 at 2:00pm — 3 Comments

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

Continue

Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

What a CEO needs to know about Machine Learning algorithms

During my first project in McKinsey in 2011, I served the CEO of a bank regarding his small business strategy. I wanted to run a linear regression on the bank's data but my boss told me: "Don't do it. They don't understand statistics". (We did not use Machine Learning but, 7 years down the road, I still believe we developed the right…

Continue

Added by Pedro URIA RECIO on May 23, 2018 at 2:00am — No Comments

More data beats better algorithms - By Tyler Schnoebelen

 

Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is that throwing more training data into the mix beats work on algorithms and features. This post will get down and dirty with algorithms and features vs. training data by looking at a 12-way…

Continue

Added by Leena Kamath on September 23, 2016 at 12:00pm — 1 Comment

Building A Predictive Model

“Predictive analytics” is a commonly used term today. Wikipedia describes it as ‘encompassing a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical…

Continue

Added by Aureus Analytics on November 21, 2015 at 12:30am — No Comments

"You need an algorithm, not a Data Scientist". Um...not quite

I recently read a Harvard Business Review (HBR) article “You need an algorithm, not a data scientist”. The author (from an analytics vendor) argues that:

  1. Companies are increasingly trying to do more analysis of their data to find value and are hiring people…
Continue

Added by Guerrilla Analytics on July 21, 2015 at 11:00am — 4 Comments

Data Science Summer Reading List 2015

Continue

Added by Michael Walker on June 1, 2015 at 7:30am — No Comments

Forecasting with the Baum-Welch Algorithm and Hidden Markov Models

Leonard Baum and Lloyd Welch designed a probabilistic modelling algorithm to detect patterns in Hidden Markov Processes. They built upon the theory of probabilistic functions of a …

Continue

Added by Michael Walker on February 24, 2014 at 10:02pm — 1 Comment

Boosting Algorithms for Better Predictions

Boosting is a supervised learning algorithm based on …

Continue

Added by Michael Walker on January 1, 2014 at 11:30am — 1 Comment

Tool for Computing Continuous Distributed Representations of Words

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…

Continue

Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments

Data Science Summer Reading List 2013

Machine Learning: A Probabilistic Perspective, by Kevin Murphy.



Boosting: Foundations and Algorithms, by Robert E. Schapire.



Models Behaving Badly: Why Confusing Illusion with Reality Can Lead to Disaster, by Emanuel Derman.



Doing Data Science, by Cathy O'Neil and Rachel…

Continue

Added by Michael Walker on July 9, 2013 at 3:00pm — 1 Comment

M2M + Big Data Analytics = Unlocking Blue Ocean Opportunities at the intersect

M2M + Big Data Analytics = Unlocking Blue Ocean Opportunities at the intersect

When human beings got connected, it unlocked a whole new set of possibilities and companies like facebook, linkedin etc came up with solutions which had never been there before.

The ability of machines to interact with each other promises to unlock a whole new set of opportunities unprecedented in our history

What are some real life examples of M2M…

Continue

Added by derick.jose on July 1, 2013 at 5:40am — 1 Comment

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

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