.

All Blog Posts Tagged 'Machine' (212)

Deep Learning Based Recommender Systems

Recommender systems are lifesavers in the infinite seething sea of e-commerce, improving customer experience. Recommender engines are eliminating the tyranny of choice, smoothing the way for decision-making, and boosting online sales. Moreover, ubiquitous AI technologies are sneaking into e-commerce, too, not…

Continue

Added by Oleksandr Tyron on May 18, 2021 at 3:30am — No Comments

Seven Rules for Delivering Machine Learning Projects on Time

Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue, more often than not, it is likely related to a disconnect between engineering and the data science team. Collaboration between data science and engineering is critical for ML projects, but it…

Continue

Added by Abhishek Gupta on May 17, 2021 at 11:30am — No Comments

Potential Risk AI can cause to the world!

Source: Google

Artificial intelligence is among the most talked-about trends in recent years, and It is a 2 side blade with positives and negatives. Talking about positives, technologies are starting to improve our lives in multiple ways, from enhancing the healthcare…

Continue

Added by Ved Raj on May 11, 2021 at 8:30pm — No Comments

10 Top Mobile Application Development Trends You Can’t Miss

The years 2019 & 2020 saw unprecedented growth in Mobile App development. By our estimate, mobile app development will be the top area in the year 2021. However, are you aware of these trends? If not, you are at risk of losing out to your competitors, who are already doubling down on incorporating these trends into…

Continue

Added by Amit Dogra on May 4, 2021 at 1:00am — 1 Comment

This is the FIRST thing data science professionals should know about working with universities

If you wanted to recruit for “data science” talent at a university, where would go? Should you go to the College of Computing? Would it be in the College of Business? Is it in the Department of Mathematics? Statistics? Is there even a Department of Data Science? 

There is more variation in the housing of data science than any other academic…

Continue

Added by Jennifer Lewis Priestley on April 29, 2021 at 5:30am — No Comments

Decoding the True Potential of Visual Data with Image Recognition Services

Image recognition technology has transformed the way visual data is pooled and processed. It offers opportunities similar to the ones portrayed in science fiction movies that make the imagination run wild. Faster detection of objects in real-time with assured accuracy, impressive face recognition mechanics, and improved augmented reality—all are made…

Continue

Added by Sam Thomas on April 22, 2021 at 9:56pm — No Comments

How To Find The Right balance in HEALTH CARE using AI/ML?

Recent studies show that, ‘healthcare’, very niche and the personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used,and also how to implement it on larger & wider scales. This article will talk about various areas of…

Continue

Added by Trupti Jadhav on March 10, 2021 at 12:00am — 2 Comments

How To Find The Right balance in HEALTH CARE using AI/ML?

Recent studies show that, ‘healthcare’, very niche and personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used ,and also how to implement it on larger & wider scales. This article will talk about various areas of AI…

Continue

Added by Trupti Jadhav on March 10, 2021 at 12:00am — No Comments

A Critical Comparison of the ML Platforms in an Evolving Market

The Evolution of the MLaaS Market

The Machine…

Continue

Added by Raghavendra Singh on February 8, 2021 at 12:30am — No Comments

FairML: Auditing Black-Box Predictive Models

This article was written on the blog CLOUDERA Fast Forward.

Machine learning models are used for important decisions like determining who has access to bail. The aim is to increase efficiency and spot patterns in data that humans would otherwise miss. But how do we know if a machine learning model is fair? And what does fairness in machine learning…

Continue

Added by Andrea Manero-Bastin on January 15, 2021 at 11:53am — No Comments

Google is Rethinking its Business – What About You?

This article was written by Damian Mingle.

Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers have been doing for years. So what is driving Google to now embrace this transformative approach? Guest blogger Damian Mingle explains. …

Continue

Added by Andrea Manero-Bastin on January 15, 2021 at 11:35am — No Comments

Essential Machine Learning Algorithms That Data Analysts Need To Know

AI is taking over. In 2021, we’re going to see machine learning taking on a bigger role in data analysis as algorithms become capable of reducing error and producing more accurate models within themselves. These algorithms cover iterative processes, decision trees as well as multi-dimensional splitting of datasets. Machine learning is enabling data analysts to have new and greater insights, affecting everything from marketing departments to the way we learn. Here are the essential machine…

Continue

Added by George J. Newton on December 23, 2020 at 12:00pm — No Comments

Unveil the Significance of Neo Machine Learning (NeoML)

NeoML, launched by ABBYY, the digital intelligence company is an open-source library ideal to build, train, and deploy machine learning (ML) models.

The open-source library which was earlier launched in June 2020 is now available on GitHub as well. NeoML provides huge support to both deep learning and traditional machine learning…

Continue

Added by Aileen Scott on December 10, 2020 at 10:00pm — No Comments

Elements of a Viable Machine Learning Algorithm

Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube…

Continue

Added by Aileen Scott on November 22, 2020 at 7:30pm — No Comments

Multi-stage heterogeneous ensemble meta-learning with hands-off demo

In this blog, I will introduce a R package for Heterogeneous Ensemble Learning (Classification, Regression) that is fully automated. It significantly lowers the barrier for the practitioners to apply heterogeneous ensemble learning techniques in an amateur fashion to their everyday predictive problems.…

Continue

Added by Ajay Arunachalam on November 7, 2020 at 1:50am — No Comments

5 Best Practices For Putting Machine Learning Models Into Production

Continue

Added by Raghavendra Singh on September 21, 2020 at 3:36am — No Comments

5 Challenges To Be Prepared For Before Scaling Machine Learning Models

Machine Learning (ML) models are designed for defined business goals. ML model productionizing refers to hosting, scaling, and running an ML Model on top of relevant datasets. ML models in production also need to be resilient and flexible for future changes and feedback. A recent study by Forrester states that improving customer experience, improving profitability & revenue growth as the key goals organizations plan to achieve specifically using ML initiatives.

Though gaining…

Continue

Added by Raghavendra Singh on September 10, 2020 at 12:00pm — No Comments

Machine Learning: How it Improves Performance Engineering

Enterprise software, as well as other kinds, remains a complicated endeavor, thus necessitating the use of modern means to gauge, analyze, and adapt their performance. And one of the most popular technologies in the performance engineering market right now is machine learning. Since it has demonstrated an unparalleled ability to not only help foresee performance issues and fix them. When used in the right manner — this combination can also help performance engineering teams to steer clear of…

Continue

Added by Ryan Williamson on August 30, 2020 at 11:00pm — No Comments

Digital Nudging : Influencing online User decisions on Twitter through nudge units

Introduction:

Here’s a fun fact; An average human being (probably an adult) makes close to 30,000 conscious decisions every day. This isn’t entirely true though, in fact, I just made that number up. I could be right because if you think about it, how many decisions would you say you make on a day to day basis? Depending on who you are the above obviously varies widely and you know best. We all…

Continue

Added by CARLVIN JERRY on August 20, 2020 at 3:30am — No Comments

Understanding of Artificial Neural Networks

Introduction

Artificial neural networks are based on collection of connected nodes, and are designed to identify the patterns. They are part of deep learning, in which computer systems learn to recognize patterns and perform tasks, by analyzing training examples. For example an object recognition system can be fed to thousands of labeled images of houses, cars, traffic signals, animals etc. and would…

Continue

Added by Kamal Jain on August 11, 2020 at 5:00am — No Comments

Monthly Archives

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service