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What Are Major NLP Achievements & Papers From 2019?

November 12, 2019 by Mariya Yao

TOP 10 NLP Research Papers 2019

UPDATE: We’ve also summarized the top 2020 NLP research papers.  In 2018 we saw a number of landmark research breakthroughs in the field of natural language processing (NLP). The introduction of transfer learning and pretrained language models in NLP pushed forward the limits of language understanding and generation. These also dominated NLP progress this … [Read more...] about What Are Major NLP Achievements & Papers From 2019?

Top AI & Machine Learning Research Papers From 2019

November 6, 2019 by Mariya Yao

TOP 10 ML / AI Papers 2019

UPDATE: We’ve also summarized the top 2020 AI & machine learning research papers.  With the AI industry moving so quickly, it's difficult for ML practitioners to find the time to curate, analyze, and implement new research being published. To help you quickly get up to speed on the latest ML trends, we’re introducing our research series, in which we curate the … [Read more...] about Top AI & Machine Learning Research Papers From 2019

Top AI Research Advances For Machine Learning Infrastructure

October 24, 2019 by Kate Koidan

ML Infrastructure research

As deep learning models become more and more popular in real-world business applications and training datasets grow very large, machine learning (ML) infrastructure is becoming a critical issue in many companies. To help you stay aware of the latest research advances in ML infrastructure, we’ve summarized some of the most important research papers recently introduced in this … [Read more...] about Top AI Research Advances For Machine Learning Infrastructure

Productionizing NLP Models

October 17, 2019 by Pratik Bhavsar

NLP project

Problem statement 💰 Lately, I have been consolidating my experiences of working in different ML projects. I will tell this story from the lens of my recent NLP project to classify phrases into categories — A multiclass single label problem. Team structure 👪 Making AI teams is quite tricky. If you don’t have the skillsets inside your company, you have to plan … [Read more...] about Productionizing NLP Models

How Much Does MLaaS Cost?

October 10, 2019 by Kate Koidan

MLaaS pricing

Machine learning as a service (MLaaS) platforms offer machine learning tools as a part of cloud computing services. If you are new to the MLaaS concept, check out our comprehensive beginner's guide to machine learning as a service. The key players in this market include Amazon, Microsoft, Google, and IBM. The offerings of these providers vary. So, if you are looking for the … [Read more...] about How Much Does MLaaS Cost?

A Comprehensive Beginner’s Guide To Machine Learning As A Service

October 10, 2019 by Mariya Yao

MLaaS guide

What’s machine learning as a service or MLaaS? Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get started with machine learning applications quickly without installing specific software or provisioning their own servers. All … [Read more...] about A Comprehensive Beginner’s Guide To Machine Learning As A Service

How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes

October 3, 2019 by Kate Koidan

Model deployment with Kubernetes

Comcast is one of the leading providers of communications, entertainment, and cable products and services. It employs classical machine learning (ML) models and deep learning for a variety of computer vision tasks, natural language processing, and personalization of customer experience. As the company invokes models billions of times per day, it needs quite a robust ML … [Read more...] about How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes

A Step-By-Step Guide On Deploying A Machine Learning Model

October 3, 2019 by Ben Weber

pputting model in production

One the key ways that a data scientist can provide value to a startup is by building data products that can be used to improve products. Making the shift from model training to model deployment means learning a whole new set of tools for building production systems. Instead of just outputting a report or a specification of a model, productizing a model means that a data science … [Read more...] about A Step-By-Step Guide On Deploying A Machine Learning Model

How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)

October 2, 2019 by Kate Koidan

Driverless AI architecture

Stanley Black & Decker is a company known for its consumer and professional tools, storage solutions and other products. It has quite a few well-known brands under its umbrella, including DeWalt, Proto, Lista, and Craftsman. However, tools and storage make up only half of their business. At Stanley, they also offer various solutions in consumer and residential security and … [Read more...] about How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)

What’s State Of The Art In AutoML in 2019?

October 2, 2019 by Kate Koidan

AutoML pipeline

More and more industries and organizations are leveraging artificial intelligence to delight customers and cut through the competition. However, development and deployment of deep learning models is time-consuming and costly - often prohibitively costly. That’s when automated machine learning (AutoML) comes into play. AutoML solutions can significantly increase the efficiency … [Read more...] about What’s State Of The Art In AutoML in 2019?

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