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 —
For any business, the worst scenario is getting out of product inventory when customers are ready to buy your product. Keeping a stock of every item in the store is another burden to carry for every business. This trade off has been even more problematic in current times, when manufacturing firms are flooding with SKUs (Stock Keeping Unit) ranging from product sizes, flavours, styles etc. To cater personalised demand companies are customising… Continue
Added by PS Dhillon on August 30, 2018 at 3:35am —
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 —
Machine learning is one of the most searched keyword on any search engine at this point of time. The reason is quite clear; the benefits of utilising it in any industry is beyond imagination. Machine learning is making computers learn from data to find patterns & generate business insights. In e-commerce, machine learning is even far more relevant because of digitally generated user-specific data points. Daily, we read so much about big companies using machine learning in their business… Continue
Added by PS Dhillon on July 4, 2018 at 5:00am —
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 —
One of the most important developments in the world of technology has been machine learning. It is a comprehensive set of data algorithms and code, pumped into an application or software that automatically makes changes based on trial and error with human interaction.
To put it briefly, machine learning is the machine's ability to understand reactions and engagements made on their software to adjust its algorithm to produce the best result automatically. Machine learning is taking… Continue
Added by Laxman Bala on May 15, 2018 at 10:00pm —
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 —
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 —
Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide… Continue
Added by Dileep Srinivasan on May 2, 2018 at 5:30pm —
Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals.
Anyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.
Data Scientists coming from a different fields, like Computer Science or Statistics, might not be aware of the analytical power these techniques bring with… Continue
Added by Ahmet Taspinar on April 12, 2018 at 6:00am —
The mantra for technology evolution has been to replace or minimize human assistance with machines. Traditionally human support systems are rapidly being replaced by machines & by automation. The dependence on human decision-making is shrinking fast. If we take a domestic cooking gas stove as an example, we now have the automated safety gas stove where the gas supply can be cut off completely by itself in case of gas leakage or mishandling, thus avoiding fatal accidents and… Continue
Added by Yuvan Asav on March 27, 2018 at 10:00pm —