Machine Learning Consulting

Smart Products
Better Data
Fair Applications

Machine Learning Consulting (MLC) Deploys a Network of Machine Learning Professionals Building the Smarter, Fairer Applications of Tomorrow

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Interactive Adaptive Learning Workshop

The 4th Workshop on Interactive Adaptive Learning Workshop (IAL2020) will feature Robert Munro as an invited speaker, talking about "The rapid growth of Human-in-the-Loop Machine Learning"

August 11, 2020

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Scaling Human-in-the-Loop Machine Learning

The MLOps podcast featured Robert Munro speaking about Scaling Human-in-the-Loop Machine Learning.

July 2, 2020

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Active Learning for NLP

See Robert Munro speak about Active Learning for NLP for various groups of NLP practitioners globally.

June 16, 2020

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NLP COVID-19 Workshop: an emergency workshop at ACL 2020

Robert Munro is on the organizing committee for a Workshop about how Natural Language Processing (NLP) can be applied to combat the COVID-19 pandemic.

May 5, 2020

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COVID-19 Response

One of MLC's main clients prior to COVID-19 was in epidemiology and we are now focussing on COVID-19 during the response. For advice on how you can help, see 5 Ways Data Scientists Can Help Respond to COVID-19 and 5 Actions to Avoid in KDnuggets, by MLC CEO, Robert Munro.

April 6, 2020

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Best Machine Learning Books for 2020

"Human-in-the-Loop Machine Learning" by Robert Munro is featured in FloydHub's Best Machine Learning Books, recently updated for new books coming in 2020.

March 7, 2020

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Shipping AI Products

See Robert Munro speak about how to design, build and ship AI Products at Scaled ML on February 26th, 2020, at the Computer History Museum in Mountain View, CA.

February 7, 2020

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Human-in-the-Loop at Data Day Texas

See Robert Munro give the keynote in the Human-in-the-Loop track at Data Day Texas in Austin, Texas, leading the first industry conference to have a Human-in-the-Loop Machine Learning track.

January 25, 2020

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PR/FAQ Guide Widely Used

The PR/FAQ Product Process that we use with our customers was popularized by Amazon, so we were flattered to see AWS Chief Evangelist, Jeff Barr, call out our PR/FAQ guide when writing about best practices.

December 5, 2019

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MLC in New York Times

Robert Munro was featured in a New York Times article on bias in AI. Robert found that most major AI technologies failed to identify "hers" as a pronoun, a significant bias, and created an open solution.

November 11, 2019

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MLC and PyTorch

PyTorch is the fastest growing Machine Learning library. We were an invited participant in the PyTorch Developer Conference and an invited author on the PyTorch Blog.

October 21, 2019

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Scale by the Bay

See Robert Munro speak about Active Learning and take part in the closing panel on AI Products with Anima Anandkumar (NVidia & Caltech), Peter Bailis (Sisu & Stanford), Thanh Nguyen (Alibaba Cloud), Pete Skomoroch (Workday), and Manasi Vartak (Verta).

5 September, 2019

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Machine Learning Ethics at KDD 2019

Robert Munro will be speaking at Knowledge Discovery and Data Mining (KDD) on Should You Open-Source Your Model? Ethical questions for open-sourcing Machine Learning models.

1 August 2019

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TWIMLCon

See Robert Munro speak with Radha Basu (iMerit) at TWIMLCon on Ethical Human-in-the-Loop Pipelines, showing how the fairest ways to employ data annotators is also the best business decision.

1 July 2019


About Machine Learning Consulting:

Our Clients

We work with companies with product lines that are widely adopted (US$100M+ annual revenue) and want to scale their product and Machine Learning processes. We also work with smaller impact-focused companies run by leaders with deep domain expertise.

Product Management

We help our clients implement the PR/FAQ Product Process that starts with an idealized future Press Release and associated public and private FAQs for the product. We integrate this process into the entire product life-cycle, from conception to deployment.

Data & Algorithms

We design the optimal Human-in-the-Loop Machine Learning architectures with our clients to get the most out of their data. The right data is as important as the right algorithms for accurate Machine Learning, so we help create strategies that combine algorithms and data processing.