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All Blog Posts Tagged 'machine' (245)

Data Labeling for Machine Learning Models

Machine learning models make use of training datasets for predictions. And, thus labeled data is an important component for making the machines learning and interpret information. A variety of different data are prepared. They are identified and marked with labels, also often as…

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Added by Roger Max on September 7, 2021 at 12:30am — No Comments

What is the most robust binary-classification performance metric?

Accuracy, F1, or TPR (a.k.a recall or sensitivity) are well-known and widely used metrics for evaluating and comparing the performance of machine learning based classification.

But, are we sure we evaluate classifiers' performance correctly? Are they or others such as BACC (Balanced Accuracy),…

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Added by Gürol Canbek on August 24, 2021 at 9:00pm — No Comments

Open AI Codex Challenge Seen By the Participants

On the 12th of August, Open AI hosted a hackathon for all those interested in trying out Codex. Codex is a new generation of their GPT-3 algorithm that can translate plain English commands into code.

We at…

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Added by Yulia Gavrilova on August 23, 2021 at 3:30am — No Comments

How does Machine Learning and Retail Demand Forecasting promote business growth

Machine learning in retail demand forecasting has transformed the retail industry. The primary aim of using machine learning in demand forecasting is to predict the future demand in products and services accurately so that the product can be designed and re-designed accordingly. It…

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Added by Albert Smith on August 6, 2021 at 3:30am — No Comments

How Data Science And Machine Learning Works To Counter Cyber Attacks

We are all aware of the heinous cyber-attack that took down more than 200,000 systems in 150 countries in only a few days in May 2017. This was found by the National Security Agency (NSA) and was nicknamed "WannaCry," which exploited a vulnerability and stole important resources…

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Added by Joydeep Bhattacharya on July 31, 2021 at 6:00am — No Comments

Applying Regression-based Machine Learning to Web Scraping

Whenever we begin dealing with machine learning, we often turn to the simpler classification models. In fact, people outside of this sphere have mostly seen those models at work. After all, image recognition has become the poster child of machine learning.…

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Added by Aleksandras Sulzenko on June 17, 2021 at 9:30pm — No Comments

Approximation or Classification – which one to choose?

Among the many decisions you’ll have to make when building a predictive model is whether your business problem is either a classification or an approximation task. It’s an important decision because it determines which group of methods you choose to create a model: classification (decision trees, Naive Bayes) or approximation (regression tree,…

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Added by Algolytics on June 2, 2021 at 1:00am — No Comments

Your Guide for the Commonly Used Machine Learning Algorithms

We are currently living in such a period where computing has transformed immensely from large mainframes to personal computers to the cloud.  The constant technological progress and the evolution in computing resulted in major automation.

In this article, let’s understand few commonly used…

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Added by Aileen Scott on May 3, 2021 at 8:00pm — No Comments

How to Introduce Machine Learning to your Business

Artificial intelligence systems usually learn by example and are likely to learn better with high-quality examples. Low quality or insufficient training data can lead to unreliable systems that make poor decisions, reach the wrong conclusions, introduce or perpetuate bias and cannot handle real-world variation among other issues. Besides, poor data is…

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Added by Logan berger on March 21, 2021 at 5:00pm — No Comments

Operationalizing AI – Introduction to the ModelOps Pipeline

Artificial Intelligence (AI) is all the buzz with everyone looking for ways to leverage AI in some capacity within their organization. Whether you’re running a business focused on insurance, construction, or anything in between, the list of companies adding AI or Data Science teams to help their business succeed is growing every day. Unfortunately for…

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Added by Clayton Davis on March 3, 2021 at 5:30am — No Comments

The Future of AI in Insurance

Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping…

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Added by Karin Golde on February 22, 2021 at 1:00pm — No Comments

Blockchain emerging as Next-Generation Data and Model Governance Framework

Introduction and Motivation

The blockchain technology has led to a strong foundation for different applications related to asset management, medical/health, finance, and insurance. Data analytics provided by…
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Added by Sharmistha Chatterjee on December 28, 2020 at 1:30am — 1 Comment

Is AI Getting Boring? And Some Thoughts on the Future of AI.

Summary:  Things are getting repetitious and that can be boring.  Still, looking at lessons from the 90s it’s clear there are at least one or two decades of important economic advances that will based on our current AI/ML.  Then some thoughts on where that next really huge breakthrough will come from that will return our initial excitement.

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Added by William Vorhies on December 8, 2020 at 11:12am — No Comments

Using an AI COE (Center of Excellence) to Bridge from Experimentation to Mastery

Summary:  There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).

 

 

If you are a mid-sized business, government organization, or educational…

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Added by William Vorhies on December 2, 2020 at 3:18pm — No Comments

When Should a Machine Learning Model Be Retrained?

A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks were laborious and cumbersome, but machine learning has come a long way in a short time. Things have changed with the adoption of more sophisticated MLOps solutions.

Now, the…

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Added by Henrik Skogström on November 30, 2020 at 11:11pm — No Comments

Intelligent Automation – Just Add AI to your RPA

Summary:  Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation).  Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work.

 

As we’ve tracked the adoption of AI/ML across industries…

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Added by William Vorhies on November 18, 2020 at 9:00am — No Comments

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”

There simply is no single right answer.

There is no clear-cut measure of when a machine learning model is ready to…

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Added by Henrik Skogström on November 18, 2020 at 5:30am — No Comments

From Data Collection to Text Interpretation. An interview on exploring techniques and use cases for text mining

Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…

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Added by Rosaria Silipo on November 15, 2020 at 12:00am — No Comments

AI/ML Applications in Law and Compliance

Summary:  Some industries are a clear slam-dunk for AI/ML applications and some less so.  The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category.  This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow.

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Added by William Vorhies on November 4, 2020 at 10:00am — No Comments

Career Scope in Machine Learning in 2021

As you must be aware, there are a lot of applications that are a by-product of Machine learning techniques. Machine learning is one of the hottest skills in today’s market. In fact, as per one of the recent LinkedIn surveys, there are over 7k machine learning jobs available. Additionally, there is a tremendous growth rate for machine learning related jobs as well. Another reason which could oblige you to seriously think about this skill set is automation. As we must have heard about…

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Added by Lokesh on November 1, 2020 at 8:55pm — 2 Comments

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