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Search Results for: machine learning

Video Highlights: Running Effective Machine Learning Teams

In the video presentation below, Niko Laskaris, Data Scientist and Head of Strategic Projects at MLOps solutions provider Comet, hosts a compelling webinar showing you how to address many issues regarding AI/ML. He also shares case studies, and examines the shortfalls of traditional and agile practices applied to ML teams.

The State of AI and Machine Learning

In the 7th edition of its annual State of AI and Machine Learning report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it […]

The State of AI and Machine Learning

In the 7th edition of its annual State of AI report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it comes to implementing AI.  Collectively, their answers enabled the company to paint a picture of how the AI industry continues to  evolve in a world that is more virtual, more tech-savvy, and more globalized than ever.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Before Jumping to Machine Learning, You Need a Solid Analytics Foundation

In this special guest feature, Michael Simms, Practice Director for Data & Analytics at Columbus Global Services, discusses four important elements of an effective data journey. Mapping a data journey provides awareness and understanding of where your organization is to ultimately get where you want to go, with enablement and adoption of the technology throughout. Without the clarity provided by a data journey, your organization won’t be positioned to successfully deploy the latest technology.

Quantum Machine Learning – An Introduction to QGANs

In this contributed article, data scientists from Sigmoid discuss quantum machine learning and provide an introduction to QGANs. Quantum GANs which use a quantum generator or discriminator or both is an algorithm of similar architecture developed to run on Quantum systems. The quantum advantage of various algorithms is impeded by the assumption that data can be loaded to quantum states. However this can be achieved for specific but not generic data.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Democratizing Machine Learning to Empower the Modern Business

In this special guest feature, Adam Carrigan, Co-founder and COO of MindsDB, discusses how the democratization of machine learning makes predictive analytics accessible to companies of any size. While machine learning makes a transformative impact on the business world, it seems larger enterprises are the only ones reaping the benefits. So what about smaller and medium-sized businesses? Are they forced to remain on the sidelines of the AI revolution?

The Quest for Objective Truth: Evolving from Opinions to Facts Using Machine Learning in Real Estate

In this contributed article, Anand Singh, a Senior Leader of Big Data Platform & Solutions at CoreLogic®, discusses how successfully drawing relevant conclusions from data requires human opinions and judgments to be accounted for and then suppressed through ML. Even as AI advances to recognize human emotions, this is one area where innovation may fare better without them.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.