Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube… Continue
Added by Aileen Scott on November 22, 2020 at 7:30pm —
Randomised algorithms are built on statistical features played by random numbers.
Quicksort is a good example to illustrate this algorithm. For instance, in a class of taller students would naturally go at the back and… Continue
Added by Dorian.H Mekni on May 2, 2020 at 12:37am —
A complete guide to K-means clustering algorithm
Added by Diego Lopez Yse on April 30, 2019 at 2:17pm —
Everything you need to know about a top algorithm in Machine Learning
Added by Diego Lopez Yse on April 30, 2019 at 2:00pm —
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 —
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 —
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…
Added by Leena Kamath on September 23, 2016 at 12:00pm —
“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 —
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:
- Companies are increasingly trying to do more analysis of their data to find value and are hiring people…
Added by Guerrilla Analytics on July 21, 2015 at 11:00am —
Added by Michael Walker on June 1, 2015 at 7:30am —
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 —
Added by Michael Walker on January 1, 2014 at 11:30am —
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 —
Machine Learning: A Probabilistic Perspective, by Kevin Murphy. Continue
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…
Added by Michael Walker on July 9, 2013 at 3:00pm —
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 —