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…Continue
Added by Roger Max on September 7, 2021 at 12:30am — No Comments
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),…Continue
Added by Gürol Canbek on August 24, 2021 at 9:00pm — No Comments
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.
Added by Yulia Gavrilova on August 23, 2021 at 3:30am — No Comments
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…Continue
Added by Albert Smith on August 6, 2021 at 3:30am — No Comments
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…Continue
Added by Joydeep Bhattacharya on July 31, 2021 at 6:00am — No Comments
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.…Continue
Added by Aleksandras Sulzenko on June 17, 2021 at 9:30pm — No Comments
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,…Continue
Added by Algolytics on June 2, 2021 at 1:00am — No Comments
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…Continue
Added by Aileen Scott on May 3, 2021 at 8:00pm — No Comments
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…Continue
Added by Logan berger on March 21, 2021 at 5:00pm — No Comments
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…Continue
Added by Clayton Davis on March 3, 2021 at 5:30am — No Comments
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…Continue
Added by Karin Golde on February 22, 2021 at 1:00pm — No Comments
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.
Added by William Vorhies on December 8, 2020 at 11:12am — No Comments
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…Continue
Added by William Vorhies on December 2, 2020 at 3:18pm — No Comments
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.
Added by Henrik Skogström on November 30, 2020 at 11:11pm — No Comments
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.
Added by William Vorhies on November 18, 2020 at 9:00am — No Comments
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…
Added by Henrik Skogström on November 18, 2020 at 5:30am — No Comments
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…Continue
Added by Rosaria Silipo on November 15, 2020 at 12:00am — No Comments
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.
Added by William Vorhies on November 4, 2020 at 10:00am — No Comments
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…Continue