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All Blog Posts Tagged 'dsc_ml' (243)

MLOps on AWS using MLflow

In our earlier articles, we covered installation and implementation of MLOps using MLflow.

For any business, seamless deployment of ML models into production is the key to…

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Added by Michael Stevens on November 18, 2021 at 1:30am — No Comments

Building a Knowledge Graph for Job Search using BERT Transformer

While the natural language processing (NLP) field has been growing at an exponential rate for the last two years — thanks to the development of transfer-based models — their applications have been limited in scope for the job search field. LinkedIn, the leading company in job search and recruitment, is…

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Added by Walid Amamou on November 15, 2021 at 6:00pm — No Comments

Common Mistakes When Outsourcing Private Data and How to Avoid Them

The majority of companies choose to outsource their ML solution. It makes sense since AI development demands unique and hard-to-obtain expertise and experience. That is why it's better to work with a team that specializes in this kind of development.…

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Added by Yulia Gavrilova on November 14, 2021 at 7:21pm — No Comments

Sources of Training Data for Computer Vision Annotation

We are aware of how autonomous or driverless vehicles process vast amounts of data to develop the sense of their environment. Computer vision is one of the levels in autonomous cars which analyzes every object on the path and plans the next action for the vehicle and takes the decision as…

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Added by Roger Max on November 12, 2021 at 12:00am — No Comments

Social Media as the Most Popular Method of Brand Promotion

According to a survey of more than 3,500 customers by Salesforce, social media is the most popular way to promote a brand. Previously, Salesforce released a report on current marketing trends based on data from 7,000 companies. The report shows that even before the coronavirus…

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Added by Yuri Filatov on November 8, 2021 at 8:34am — No Comments

Making Informed Decisions in Imperfect Situations

We live in a world where everyone needs to learn how to make informed decisions with incomplete and sometimes conflicting data. And that’s a big challenge because humans are inherently bad at making decisions.  And if you want proof, just visit Las Vegas.  Yes, Las Vegas has figured out how to monetize our stupid human decision-making…

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Added by Bill Schmarzo on October 30, 2021 at 6:00am — No Comments

Machine Learning as a Service - Opens Up Unimaginable Perspectives of Better Future

The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep learning, and predictive analytics.…

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Added by Nikita Godse on October 28, 2021 at 4:00am — No Comments

AI in Production: the Final Frontier

Production is often viewed as the final frontier in the machine learning process. By now, your data scientists trained a model on your data, the machine learning and software engineers incorporated that model into an application, the DevOps team configured the automation that containerizes the application for use by the rest of the…

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Added by Clayton Davis on October 27, 2021 at 10:00am — No Comments

How Is Machine Learning Used For Stock Market Prediction?

Machine Learning is an Artificial Intelligence (AI) application that allows devices to learn from their experiences and better themselves without the need for coding. For example, when you shop on any website, it displays similar searches such as This was also noticed by purchasers.

Learn Machine Learning Course From the Experts Of The…

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Added by Anuj Singh on October 25, 2021 at 10:30pm — No Comments

A New Machine Learning Optimization Technique - Part I

In this series, we discuss a technique to find either the minima or the roots of a chaotic, unsmooth, or discrete function. A root-finding technique that works well for continuous, differentiable functions is successfully adapted and applied to piece-wise constant functions with an infinite number of discontinuities. It even works if the function has no root:…

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Added by Vincent Granville on October 23, 2021 at 6:30pm — No Comments

Features Part 3:  Features as Economic Assets

One of the follow up topics from my original blog “Feature 01 – Are Features the new Data?” was defining what makes something an Asset and how does that definition map to how we manage and value Features.  But first,…

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Added by Bill Schmarzo on October 19, 2021 at 2:30pm — No Comments

MLflow Installation

In this article, we cover How to install MLflow. Before we dive into the process, let's begin with introducing MLOps

MLOps



By definition, MLOps is a cross-functional, collaborative, and continuous process that focuses on operationalizing data science use cases by managing statistical, machine learning models as reusable, highly…

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Added by Prajwal LM on October 18, 2021 at 9:30pm — No Comments

SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)

Summary

Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various…

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Added by Sergey Lukyanchikov on October 18, 2021 at 2:30am — No Comments

PyHard – A tool to assess dataset quality and identify hard-to-classify instances in general

Picture Courtesy: Freepik

The article explains the algorithm behind the recently introduced Python package named PyHard,…

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Added by Kushal Mukherjee on October 8, 2021 at 1:00pm — 6 Comments

Features Part 1: Are Features the New Data?

In my prior blog “Reframing Data Management: Data Management 2.0”, I talked about the importance of transforming data management into a business strategy that supports the sharing, re-using and continuous refinement…

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Added by Bill Schmarzo on October 4, 2021 at 4:14pm — 8 Comments

Features Part 2: Clarifying the Data-Features-Use Case Value Topology

Note:  Many thanks to those who provided comments on my previous blog “Features Part 1: Are Features the new Data?”. And special thanks to Somil Gupta and Harsha…

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Added by Bill Schmarzo on October 4, 2021 at 9:30am — 2 Comments

Spark Troubleshooting, Part 1 - Ten Challenges

“The most difficult thing is finding out why your job is failing, which parameters to change. Most of the time, it’s OOM errors…”…

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Added by Sara Petrie on September 30, 2021 at 6:00am — No Comments

Data-Labeling Instructions: Gateway to Success in Crowdsourcing and Enduring Impact on AI

Photo by Clayton Robbins on Unsplash

AI development today…

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Added by Daria Baidakova on September 29, 2021 at 2:00am — No Comments

SAP BW Data Mining Analytics: Regression Reporting (Part 3)

Summary

Regression analysis is one of the methods supplied “built-in” with SAP BW Data Mining. Based on this method regression models can be created and configured to satisfy specific analysis requirements (e.g., choice between linear or non-linear approximation, etc.). The method includes…

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Added by Sergey Lukyanchikov on September 28, 2021 at 9:30am — No Comments

Topic Modeling: Algorithms, Techniques, and Application

Used in unsupervised machine learning tasks, Topic Modeling is treated as a form of tagging and primarily used for information retrieval wherein it helps in query expansion. It is vastly used in mapping user preference in topics across search engineers. The main applications of Topic Modeling are classification, categorization, summarization of…

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Added by Roger Max on September 27, 2021 at 12:00am — 15 Comments

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