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All Blog Posts Tagged 'machine' (238)

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

How Machine Learning Discretely Assists Data Scientists

There are unlimited discussions, and conversations over this well-known point, and it tends to be a touch of overpowering to realize where to begin from data science specialists to finish amateurs.

While, from analysts to students,…

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Added by akash on February 4, 2021 at 11:30pm — 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 — No Comments

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

The MLOps Stack

What is MLOps (briefly)

MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible, collaborative, and continuous.

MLOps is not dependent on a single technology or platform. However, technologies play a significant role in practical…

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Added by Henrik Skogström on October 26, 2020 at 12:57am — No Comments

5 Most Essential Skills You Need to Know to Start Doing Machine Learning

Machine Learning is an important skill to have in today’s age. But acquiring the skill set could take some time especially when the path to it is unscattered. The below-mentioned points have a very wider reach to the topics it covers and essentially would give anyone a very good start when it comes to starting from scratch. Learners should not limit…

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Added by Tarun Saini on October 25, 2020 at 8:00pm — No Comments

Digital Dreams – Analog Processes

  • Your in-house data science team is not the exclusive source of AI/ML based improvements. 
  • Process Re-engineering is gaining new life as a way to optimize data processes.…
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Added by William Vorhies on October 24, 2020 at 11:30am — No Comments

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

Most Useful C/C++ ML Libraries Every Data Scientist Should Know

Importance of C++ in Data Science and Big Data

Introduction and Motivation – Why C++

C++ is ideal for dynamic load balancing, adaptive…

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Added by Sharmistha Chatterjee on September 24, 2020 at 8:30am — 2 Comments

IoT’s Purview on Current Environmental Conditions

No matter how latest the technology is, it is often blamed responsible for the current environmental issues from internal engine combustion to electronic wastes. Typically, we don't associate high-end technologies with environmental sustainability. However, in the right hands and right applicability, technologies like AI and IoT hold great potential…

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Added by Sanjeev Verma on September 14, 2020 at 4:00am — No Comments

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