As everyone knows Machine learning studies computer algorithms for learning to do stuff. We might, for instance, be interested in learning to complete a task, or to make accurate predictions, or to behave intelligently. The learning that is being done is always based on some sort of observations or data, such as examples…direct experience, or instruction. So in general, machine learning is about learning to do better in the future based on… Continue
Added by Jayesh Bapu Ahire on March 3, 2018 at 6:00am —
Each year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present in their annual conference.
For 2018, our paper is lucky to be one of the two winning papers selected by the Advisory Board for the conference to be held in London. Please feel free to check out our paper titled CDS Rate Construction Methods by Machine Learning… Continue
Added by Zhongmin Luo on February 24, 2018 at 2:00am —
I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California (“the State”), where decision makers could vastly…
Added by Bill Schmarzo on February 13, 2018 at 5:30am —
What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental.
Hmm, for past few years many of us have come across articles like
- “Top 10 Machine Learning Algorithms every Data Scientist …
Added by Venkat Raman on February 6, 2018 at 12:30am —
Artificial Intelligence or AI is expected to be in major demand by retail consumers due to its ability to make interactions in retail as flawless and seamless as possible. Many of us do realize the potential of AI and all that it is capable of, along with the support of Machine Learning or ML, but don’t realize… Continue
Added by Ronald van Loon on February 4, 2018 at 1:30pm —
Organizations looking for justification to move beyond legacy reporting should review this little ditty from the healthcare industry:
The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the healthcare system…
Added by Bill Schmarzo on January 26, 2018 at 1:30pm —
The concept of a smart society has been around for a long time, but the progress we have seen towards achieving it in the last decade has really been a giant leap for mankind. For those of us who are unaware, the smart society which looms over us is the future of mankind. We are about to enter a phase where living… Continue
Added by Ronald van Loon on January 23, 2018 at 12:30am —
“Big Data is dead.” “Big Data is passé.”
“We no longer need Big Data; we need Machine Learning now.”
As we end 2017 and look forward to big (data) things in 2018, the most important lessons of 2017 – in fact, maybe the most important lesson going forward – is that Big Data is NOT a thing. Big Data isn’t about the volume, variety or velocity of data any more than car…
Added by Bill Schmarzo on January 20, 2018 at 5:30am —
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with students of all ages learning the tools of the modern economy. The craftspeople of the “Analytics Revolution” were busy learning new skills and tools that will prepare them for this Brave New World of analytics. I was blown away by their dedication!
As we teach the next generation, it’s important…
Added by Bill Schmarzo on January 19, 2018 at 5:00am —
In this series, I will talk about training a simple neural network on image data. To give a brief overview, neural networks is a kind of supervised learning. By this I mean, the model needs to train on historical data to understand the relationship between input variables and target variables. Once trained, the model can be used to predict target variable on new input data. In the previous posts, we have written about linear, lasso and ridge regression. All those methods come under… Continue
Added by Jobil Louis on January 16, 2018 at 8:00pm —
Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this field of study. Understanding this jargon and how it can have an impact on the study related to ML goes a long way in comprehending the study that has been conducted by researchers and data scientists to get AI to the state it now is.
In this article, I will be providing you with a comprehensive definition of supervised,… Continue
Added by Ronald van Loon on January 16, 2018 at 1:30am —
Most organizations’ IOT Strategy look like a game of ‘Twister’ with progress across important IOT capabilities such as architecture, technology, data, analytics and governance; variables comprising a series of random investments and decisions.…
Added by Bill Schmarzo on January 13, 2018 at 5:00am —
The value of data-driven Customer Value Management or CVM cannot be underrated. Data and other algorithms/analytics that shape data are an imperative part of customer value management in a telecom company. With enhanced customer expectations, it is up to the ability of telecom companies to provide customers with a seamless experience and to also ensure that they help boost revenue in the process.
Added by Ronald van Loon on January 10, 2018 at 3:30am —
Libratus, the artificial intelligence (AI) engine designed by Professor Tuomas Sandholm at Carnegie Mellon University (CMU) and his graduate student Noam Brown has made an impression on Jason Les, one of the world’s top poker players. Poker News, the poker industry’s online news magazine, recently interviewed Les. A couple questions were telling when asked about which is a better name for his firstborn child and which is the more annoying opponent, Claudico or Libratus. For both questions,… Continue
Added by Ken Strandberg on January 9, 2018 at 3:00pm —
Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural… Continue
Added by CD on January 4, 2018 at 10:30am —
In the last post, we talked about how to estimate the coefficients or weights of linear regression. We estimated weights which give the minimum error. Essentially it is an optimization problem where we have to find the minimum error(cost) and the corresponding coefficients. In a way, all supervised learning algorithms have optimization at the crux of it where… Continue
Added by Jobil Louis on January 2, 2018 at 3:30pm —
This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.
Sentiment analysis is widely acknowledged in the web and social media monitoring. It allows businesses to gain a comprehensive public opinion on the organization and its services. The ability to deduce insights from the text and emoticons from social media is a… Continue
Added by Valiance Solutions on December 20, 2017 at 1:30am —
Data Monetization! Data Monetization! Data Monetization!
It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data monetization”?
The role of Chief Data Officer (CDO) would seem to be a godsend to answer the data monetization challenge. They should be the catalyst in helping organizations to…
Added by Bill Schmarzo on December 12, 2017 at 12:30pm —
Mobile usage has surpassed the desktop usage a few years back and is fast becoming consumer’s preferred portal to the internet. Always-on consumers spend more than 70% of their media consumption and screen time on mobile devices, and most of that time in smartphone apps. Analyzing their behaviors, understanding their needs, complaints and proactively…
Added by Sandeep Raut on November 26, 2017 at 2:00am —
Many of us are bombarded with various recommendations in our day to day life, be it on e-commerce sites or social media sites. Some of the recommendations look relevant but some create range of emotions in people, varying from confusion to anger.
There are basically two types of recommender systems, Content based and Collaborative filtering. Both have their pros and cons depending upon the… Continue
Added by Venkat Raman on November 22, 2017 at 10:00pm —