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All Blog Posts Tagged 'Machine' (182)

Debunking Google's Death AI

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):

These…
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Added by Stephen Chen on July 4, 2018 at 1:30am — 1 Comment

How History Can Prepare Us for Upcoming AI Revolution or, What is the AI Equivalent to the ¼” Bolt?

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…

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Added by Bill Schmarzo on June 26, 2018 at 3:30pm — 2 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…

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

Machine learning - The basics

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…

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Added by Laxman Bala on May 15, 2018 at 10:00pm — No Comments

Demystifying Black-Box Models with SHAP Value Analysis

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…

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Added by Civis Analytics on May 15, 2018 at 9:00am — No Comments

Deep Learning Infrastructure for Extreme Scale with 
the Apache Kafka Open Source Ecosystem

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…

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Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments

Artificial Intelligence vs. Machine Learning vs. Deep Learning

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…

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Added by Venkatesan M on May 7, 2018 at 9:30pm — 2 Comments

Steps required before adopting AI & Cognitive Computing platform

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 accurate…

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Added by Dileep Srinivasan on May 2, 2018 at 5:30pm — 1 Comment

Machine Learning with Signal Processing Techniques

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…

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Added by Ahmet Taspinar on April 12, 2018 at 6:00am — No Comments

5 Hot AI & Machine Learning Trends for 2018

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…

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Added by Yuvan Asav on March 27, 2018 at 10:00pm — No Comments

Credit Risk Prediction Using Artificial Neural Network Algorithm

1 Introduction

Credit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has always been an extensively studied area in bank lending decisions. Credit risk plays a crucial role for banks and financial institutions, especially for commercial banks and it is always difficult to interpret and manage. Due to the advancements in technology, banks have managed to reduce the costs, in order to…

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Added by Shruti Goyal on March 14, 2018 at 11:30am — 5 Comments

Machine Learning : Real World Applications

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…

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Added by Jayesh Bapu Ahire on March 3, 2018 at 6:00am — No Comments

Machine Learning Techniques based paper one of the two Risk Quant Europe 2018 Call for Paper Winners

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…

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Added by Zhongmin Luo on February 24, 2018 at 2:00am — No Comments

How State Governments Can Protect and Win with Big Data, AI and Privacy

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…

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Added by Bill Schmarzo on February 13, 2018 at 5:30am — No Comments

So, How Many ML Models You Have NOT Built?

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 …
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Added by Venkat Raman on February 6, 2018 at 12:30am — 3 Comments

AI’s Impact on Retail: Examples of Walmart and Amazon

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…

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Added by Ronald van Loon on February 4, 2018 at 1:30pm — No Comments

Predict - Prescribe - Prevent: Analytics Value Cycle

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…

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Added by Bill Schmarzo on January 26, 2018 at 1:30pm — No Comments

Smart Society: How to Trust Artificial Intelligence

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…

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Added by Ronald van Loon on January 23, 2018 at 12:30am — No Comments

Big Data Isn’t a Thing; Big Data is a State of Mind

“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…

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Added by Bill Schmarzo on January 20, 2018 at 5:30am — No Comments

Lessons in Becoming an Effective Data Scientist

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…

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Added by Bill Schmarzo on January 19, 2018 at 5:00am — 4 Comments

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