Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future decisions. Machine learning is at the intersection of computer science, engineering, and statistics. The goal of machine learning is to generalize a detectable pattern or to create an unknown rule from given examples. Continue
Machine learning is broadly classified into three categories but nonetheless, based on the…
Added by Malvika Mathur on December 8, 2018 at 11:00pm —
An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery and evaluation of patterns from data. It also includes an analyst’s creativity, business knowledge, and common sense. Understanding the whole process helps to structure data mining projects.
Since the data mining process breaks up the overall task… Continue
Added by Mehmet Gökce on October 24, 2018 at 8:58am —
Added by Ridhima Kumar on October 23, 2018 at 11:00am —
This post came out of the inspiration I got after I read Rafael Knuth's Learning Sabbatical. I read part 1 of his sabbatical too and I felt compelled to put my experience and future plan .
Background: After… Continue
Added by Arnuld on September 24, 2018 at 12:30am —
Artificial Intelligence and Machine Learning are two terms related to the world of computer science that can be heard a lot these days. These technologies are helping to bring about a considerable change in different fields today. Be it medical sciences, meteorology, robotics, understanding customer perspectives or scientific developments; these fields are offering an excellent way to move forward without letting technology stagnate.…
Added by Vijay Singh on September 22, 2018 at 9:00pm —
Introduction: Deriving meaningful information out of heap of data is the minimal requirement for any establishment today for its survival & sustenance. There are many terminologies and buzz words related to this area that blurs the meaning leaving people confused, such as Bigdata, Data Ware house (DWH), BI analytics, AI (Artificial… Continue
Added by Niraj Kumar on September 22, 2018 at 5:57am —
Lee Sedol Vs Alpha Go
When I worked as a McKinsey consultant, I served the CEO of a bank regarding his small business strategy. I wanted to run regressions on the bank's data but I was advised against it: "They don't even understand statistics. How are you going to explain a regression to… Continue
Added by Pedro URIA RECIO on September 14, 2018 at 3:00am —
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.
Added by Vibhor Nigam on August 15, 2018 at 7:30pm —
Added by Pratik Kanada on August 15, 2018 at 4:01am —
What is NLP?
Natural Language Processing (NLP) can be simply defined as teaching an algorithm to read and analyze human (natural) languages just like the human brain does, but a lot faster than a human could, more accurately and on very large amounts of data.
It is a great skill to have if you are an aspiring data scientist or data analyst because has… Continue
Added by Aymone Kouame on August 11, 2018 at 2:00pm —
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.… Continue
Added by Kai Waehner on August 1, 2018 at 11:00pm —
These are a bulk of people pondering the same question and exploring different answers but at a hanging stage not knowing which one is correct and which one should they follow. The answers are very conflicting some share it on the basis of the research while some share their personal experience which confuses the newbies as hell. Well, the answer to this question depends on what you are trying to… Continue
Added by Pratik Kanada on July 28, 2018 at 3:48am —
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the … Continue
Added by Kai Waehner on July 8, 2018 at 4:26pm —
Having my newsfeed cluttered with articles about Google creating an AI that beats hospitals by predicting death with 95% accuracy (or some other erroneous claim), I dug up the original research paper to fact check this wondrous new advancement. Many of said articles used this quote from the abstract (academia's equivalent of a paperback blurb):
Added by Stephen Chen on July 4, 2018 at 1:30am —
Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind. But society-changing revolutions are not new. History is full of such revolutions. What can we learn from those previous revolutions that might provide an indication as to how this AI revolution might play out?
We will examine two other revolutions – the Industrial Revolution and the Information Revolution… Continue
Added by Bill Schmarzo on June 26, 2018 at 3:30pm —
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 —
As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive ex… Continue
Added by Civis Analytics on May 15, 2018 at 9:00am —
I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.
Long version of the title:
"Deep Learning at Extreme Scale (in the Cloud)
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."
As always, I want to share the slide deck. The talk was… Continue
Added by Kai Waehner on May 8, 2018 at 9:30pm —
Deep learning is a sub-category within machine learning and artificial intelligence. It is inspired by and based on the model of the human brain to create artificial neural networks for machines. Deep learning will allow machines and devices to function in some ways as humans do.
Dr. Rodrigo Agundez of GoDataDriven is co-author of this article and very enthusiastic about the improvements that deep learning can offer. He’s been involved in the data science and analysis field for… Continue
Added by Ronald van Loon on May 7, 2018 at 11:00pm —
Clear up the confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning differ.
Machine learning and artificial intelligence (AI) are all the rage these days — but with all the buzzwords swirling around them, it's easy to get lost and not see the difference between hype and reality. For example, just because an algorithm is used to calculate information doesn’t mean the label… Continue
Added by Venkatesan M on May 7, 2018 at 9:30pm —