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All Blog Posts Tagged 'Machine Learning' (23)

AI for People and Business Book Released!

I’m thrilled to announce that my book, AI for People and Business, is now officially released!…

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Added by Alex Castrounis on July 25, 2019 at 5:43pm — No Comments

How Can Python Help Solve Machine Learning Challenges?

Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges.

The increasing popularity and accessibility of Artificial Intelligence solutions is rapidly reshaping many industries, from healthcare through finance to aviation. Although the application of the latest technologies has always been an essential consideration for companies striving to get…

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Added by Łukasz Grzybowski on July 23, 2019 at 1:30am — No Comments

How the Mathematics of Fractals Can Help Predict Stock Markets Shifts

In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum…

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Added by Marco Tavora on July 4, 2019 at 12:30am — 1 Comment

Deep Learning Explainability: Hints from Physics


Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…

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Added by Marco Tavora on May 20, 2019 at 11:46am — No Comments

The Approximation Power of Neural Networks (with Python codes)

Introduction

It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…

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Added by Marco Tavora on May 1, 2019 at 4:52am — No Comments

The Challenges to Tackle Before You Start With AI

Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology’s opportunities in full. There are numerous advancements being made in this regard, and many organizations have taken center stage of the AI world with in depth data analysis and data…

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Added by Ronald van Loon on January 29, 2019 at 10:22pm — No Comments

Supervised vs Unsupervised Learning...Whats the Big Deal?

Leveraging the abbreviation "vs" in and of itself begins to stir the insides of the ever-faithful, "until death do we part" neural network enthusiasts because, lets face it, they are riding a wave that is driving the stock prices in both the private commercial and public commercials sectors. Most of the applications talked about today which leverage the all-too-mysterious but oh-so-exciting "AI" or "Artificial Intelligence" are implementing supervised learning approaches to solve their…

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Added by Grant T on January 17, 2019 at 1:30pm — No Comments

How I used NLP (Spacy) to screen Data Science Resumes

Resume making is very tricky. A candidate has many dilemmas,

  • whether to state a project at length or just mention the bare minimum
  • whether to mention many skills or just mention his/her core competency skill…
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Added by Venkat Raman on January 15, 2019 at 2:30am — 1 Comment

Bringing Big Artificial Intelligence to Life

Data is rampant in the Internet of Things (IoT) Age, during which the exponential growth of data has outpaced the capacity of traditional computing. It has reached maturity in some stages, but it is in adolescence in new stages. With the advent of Big Data, businesses are merging it with big compute and IoT for analytics using Artificial Intelligence (AI). After the raw input from the big data gets cleaned, structured, and unified, AI performs cognitive functions and outputs values for the…

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Added by Ankur Patel on January 1, 2019 at 8:57pm — No Comments

Data Analytics. AI. ML. What’s the Difference?

There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transformed, and early adopters with it, while others race to understand how best to adapt or integrate said emerging technologies into their organizations in an effective and seamless…

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Added by Jay Nair on November 26, 2018 at 10:38pm — No Comments

Application of Machine Learning in Pricing and Revenue Management

Prescriptive Analytics and B2B Pricing Science

Pricing science is the application of analytical techniques and methods to solve the problem of setting prices. This discipline had its origins in the development of yield management in the airline industry in the 1980s, and has since spread to many other sectors and pricing contexts, including media, retail, manufacturing, distribution, etc.

The goal of B2B pricing science is to optimize pricing strategies by…

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Added by Amir Meimand on September 4, 2018 at 3:47pm — No Comments

AI-Driven Transformation & the Impact on Marketing

Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, it was a function hard to measure in terms of impact on the bottom-line. But then boomed the digital age, and with it, an advent of channels that came to be known as social media. And in its wake,…

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Added by Senthil Nathan R on July 1, 2018 at 11:30pm — No Comments

How to Execute R and Python in SQL Server with Machine Learning Services

Introduction

Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services   in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your…

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Added by Kyle Weller on June 4, 2018 at 7:00am — 4 Comments

IIoT: How Cognitive Anomaly Detection Transforms Industrial Maintenance

Video: How Cognitive Anomaly Detection Transforms Industrial Maintenance.

DSC Resources

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Added by Ronald van Loon on March 23, 2018 at 10:30pm — No Comments

The Future of IoT and Machine to Machine Payments

Companies like Amazon, and Facebook are setting the standard for customer expectations and customer experience.

This includes everything from understanding the whole customer journey, defining the context and personalizing it, to ensuring the payment experience is seamless and frictionless without compromising…

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Added by Ronald van Loon on March 20, 2018 at 9:00pm — 1 Comment

What is IoT?

IoT devices are everywhere, but they aren’t just used for Smart City related technologies.

From Google Home, Fitbit, Apple iPhone, and Laptops, you are already using IoT devices everyday. In fact, Ericsson predicts that there will be 30 billion IoT devices in use around the world by 2023!

IoT devices are spanning industries…

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Added by Ronald van Loon on March 10, 2018 at 11:27pm — No Comments

Cognitive computing: Moving From Hype to Deployment

Although cognitive computing, which is many a times referred to as AI or Artificial Intelligence, is not a new concept, the hype surrounding it and the level of interest pertaining to it is definitely new. The combination of hype surrounding robot overlords, vendor marketing and concerns regarding job losses has fueled the hype into where we stand now.

But, behind the cloud of hype that is surrounding the technology currently, there lies a potential for increased…

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Added by Ronald van Loon on February 8, 2018 at 8:30pm — No Comments

CNN for Short-Term Stocks Prediction using Tensorflow

Summary

In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of neural networks that has successfully been applied to image recognition and analysis. In this project I've approached this class of models trying to apply it to stock market prediction, combining stock prices with sentiment analysis. The implementation of the network has been made…

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Added by Mattia Brusamento on November 18, 2017 at 8:30am — 5 Comments

How to automatically create Base Line Estimators using scikit learn.

For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…

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Added by Gopi Subramanian on June 6, 2017 at 9:30am — No Comments

‘Typos’ don’t take down servers

AWS outage – when the ‘technical debt’ bill comes due

Most press coverage of AWS’s recent outage has  explained the event as having been caused by a “typo” that one of its engineers made when updating a billing subsystem. The ‘typo’ spin on this story may be the media’s way of dramatizing the blunder and making it…

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Added by David Stier on March 6, 2017 at 11:00am — No Comments

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