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All Blog Posts Tagged 'dsc_ml' (231)

Feedforward Neural Networks

Deep learning technology has become indispensable in the domain of modern machine interaction, search engines, and mobile applications. It has revolutionized modern technology by mimicking the human brain and enabling machines to possess independent reasoning. Although the concept…

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Added by Aaron Edgell on September 2, 2021 at 7:00am — No Comments

Understanding Self Supervised Learning



In the last blog, we discussed the opportunities and risks of foundational models. Foundation models are trained on a broad dataset at scale and are adaptable to a wide range of downstream tasks. In this blog, we extend that…

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Added by ajit jaokar on August 29, 2021 at 10:00am — No Comments

What Does the Future of Machine Learning Look Like?

With machine learning now being…
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Added by Olha Zhydik on August 26, 2021 at 3:00am — No Comments

Using Automated Builds in ModelOps

In this installment of the ModelOps Blog Series, we will transition from what it takes to build AI models to the process of deploying into production. Think of this as the on ramp for extracting value from your AI investments—moving your model out of the lab and into an environment where it can provide new insights for your organization or add value…

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Added by Clayton Davis on August 17, 2021 at 7:00am — No Comments

Machine learning with H2O in R / Python

In this blog, we shall discuss about how to use H2O to build a few supervised machine learning models. H2O is a Java-based software for data modeling and general computing, with the primary purpose of it being a distributed, parallel, in memory processing engine. It needs to be installed first (…

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Added by Sandipan Dey on August 16, 2021 at 12:00am — No Comments

Synthetic Image Generation using GANs

Occasionally a novel neural network architecture comes along that enables a truly unique way of solving specific deep learning problems. This has certainly been the case with Generative Adversarial Networks (GANs), originally proposed by Ian Goodfellow et al. in a 2014 paper that has been cited more than…

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Added by OGE MARQUES on August 13, 2021 at 7:00am — No Comments

Three Steps to Addressing Bias in Machine Learning

Data is powering this century. There is an abundance of data coming from the digitized world, IoT devices, voice assistants like Alexa & Siri, fitness trackers, medical sensors to name a few. Data Science is becoming the center of growth hustling sectors like healthcare, logistics, customer service, banking, finance., etc. AI…

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Added by Vamshi Ambati on August 11, 2021 at 11:00am — 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

Explainable AI for Medical Images

Most of what goes by the name of Artificial Intelligence (AI) today is actually based on training and deploying Deep Learning (DL) models. Despite their impressive achievements in fields as diverse as image classification, language translation, complex games (such as Go and chess), speech recognition, and self-driving vehicles, DL models are…

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Added by OGE MARQUES on August 5, 2021 at 4:00am — No Comments

Twenty Projects in Data Science Using Python (Part-I)

Young and dynamic data science and machine learning enthusiasts are all are very interested in making a career transition by learning and doing as much hands-on learning as possible with these technologies and concepts as Data Scientists or Machine Learning Engineers or Data Engineers or Data…

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Added by Shanthababu P on July 28, 2021 at 8:00am — 1 Comment

AI Robotization with InterSystems IRIS Data Platform

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…

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Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments

Abstraction and Data Science — Not a great combination

Abstraction: some succinct definitions.

"Abstraction is the technique of hiding implementation by providing a layer over the functionality.”

“Abstraction, as a process, denotes the extracting of the essential details about an item, or a group of items, while ignoring the inessential details”…

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Added by Venkat Raman on July 8, 2021 at 10:00am — 1 Comment

Why the Feature Store Architecture is so Impactful for ML Teams

What is a Feature Store?

Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like there has been in software development for the past 20 or more years. An ML…

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Added by Alexandra Joseph on July 7, 2021 at 12:30am — No Comments

The Important Components of Augmented Analytics

When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search…

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Added by Kartik Patel on July 7, 2021 at 12:00am — No Comments

Difference Between Algorithm and Artificial Intelligence

By 2035 AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion.

  • Accenture

The words Artificial Intelligence (AI), and algorithms are most often misused and misunderstood. There are often used…

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Added by Aileen Scott on July 6, 2021 at 9:30pm — No Comments

Model Experiments, Tracking and Registration using MLflow on Databricks

Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps.

Data Acquisition And…

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Added by Dash on July 1, 2021 at 10:30am — No Comments

Load Data Into Google BigQuery on Dataproc and AutoML

What is Dataproc?

Dataproc is a low-cost, Google Cloud Platform integrated, easy to use managed Spark and Hadoop service that can be leveraged for batch processing, streaming, and machine learning use cases.

What is Google BigQuery?

BigQuery is an enterprise grade…

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Added by Dash on July 1, 2021 at 9:00am — No Comments

Tracking Experiments to Improve AI Accuracy

The development of machine learning and deep learning solutions typically follows a workflow that starts from the problem definition and goes through the crucial steps of collecting and exploring useful data, training and evaluating candidate models, deploying a solution, and finally documenting and maintaining the system once it is running in the wild (Figure 1). Despite its predictable structure, some…

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Added by OGE MARQUES on July 1, 2021 at 6:00am — No Comments

Making Sense of Data Features

Spend any time at all in the machine learning space, and pretty soon you will encounter the term "feature". It's a term that may seem self-evident at first, but it very quickly descends into a level of murkiness that can leave most laypeople (and even many programmers) confused, especially when you hear examples of machine learning systems that involve…

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Added by Kurt A Cagle on June 15, 2021 at 8:30pm — No Comments

Model-centric to Data-centric AI - Am I Missing Something?

 

Introduction

Andrew Ng is a key reference point for me in understanding AI.

Andrew Ng is always easy to understand – especially…

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Added by ajit jaokar on June 13, 2021 at 4:30am — No Comments

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