Manifold Blog

Manifold Blog

Using Dask in Machine Learning: Best Practices

Posted by Jason Carpenter on Jan 31, 2019 6:00:00 AM

Introduction

The Python ecosystem offers a number of incredibly useful open source tools for data scientists and machine learning (ML) practitioners. One such tool is Dask, available from Anaconda. At Manifold, we have used Dask extensively to build scalable ML pipelines.

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Topics: Machine learning, Data science, Data engineering

Before Optimizing Industrial Equipment with AI, Optimize Your Data

Posted by Sourav Dey on Jan 21, 2019 7:00:00 AM
These days, just about everything is "smart," from IoT toasters to internet-connected toilet paper dispensers. The existence of such devices points to the increasing availability of resources that enable more important pursuits. The related costs are decreasing, meaning it's possible to collect vast amounts of data from sensors attached to expensive equipment like oil and gas rigs, earth-moving tools, and factory machinery.
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Topics: AI at the edge

Incremental Synchronization: Replicating Actions vs. State

Posted by Jakov Kucan on Jan 15, 2019 7:00:00 AM
Whenever searching for an optimal solution to a problem, one is faced with design decisions on the appropriate architecture and approach. This post discusses one such problem, in order to highlight key decision points: data synchronization from one store to the other. We contrast two approaches and pose questions that can help inform the design decisions. The approaches we look at are: replicating source actions (insert, update, delete) at the destination data store, and replicating the state of the source store in the destination store.
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Topics: Data engineering

Machine Learning Background and Training Resources

Posted by Martin Davy on Jan 10, 2019 7:00:00 AM

Before I started at Manifold, I knew a little about the machine learning (ML) space, but wanted a better grounding in it. I asked CEO Vinay Seth Mohta for some more information, and found the resources he shared tremendously helpful. My research turned up some additional resources of my own, as well.

The following resource compilation includes those items, as well as a few added by others on the Manifold team. We hope to continue updating and improving this list, and may reshare it out periodically in the hopes that others who embark on this journey can have an even smoother and more fulfilling experience.

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Topics: Machine learning

Exploration vs. Exploitation in Reinforcement Learning

Posted by Rajendra Koppula on Jan 8, 2019 7:00:00 AM

Introduction

The last five years have seen many new developments in reinforcement learning (RL), a very interesting sub-field of machine learning (ML). Publication of "Deep Q-Networks" from DeepMind, in particular, ushered in a new era. As RL comes into its own, it's becoming clear that a key concept in all RL algorithms is the tradeoff between exploration and exploitation. In this post, we will simulate a problem called the "multi-armed bandit" in order to understand the details of this tradeoff. 

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Topics: Machine learning

3 Ways Artificial Intelligence Could Boost the Success of Your Business

Posted by Vivek Mohta on Jan 4, 2019 7:00:00 AM

As the artificial intelligence field continues to grow, businesses across the country have found that techniques are coming out of the research lab and into the applied realm to benefit their operations.

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Topics: Data engineering, Computer vision, AI at the edge

2018 Proved that Computer Vision is the Most Powerful Manifestation of AI

Posted by Vivek Mohta on Dec 25, 2018 7:00:00 AM

You probably use computer vision every day and don’t even think about it. Enjoy checking out the latest Snapchat filters? That’s computer vision. Unlock your iPhone with your face? That’s computer vision, too. Use your phone to deposit your latest paycheck and get some cash in your bank account? Well, that’s also computer vision.

Computer vision as we know it is at a tipping point. Thanks to industry-wide development efforts and advances in deep learning algorithms and graphics processors, we’re doing things that were unimaginable just a decade ago.

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Topics: Computer vision

Preparing Your Data for Predictive Analytics

Posted by Sourav Dey on Nov 16, 2018 2:17:23 PM

By Kyle Seaman, Head of Product at Sentenai, and Sourav Dey, Co-Founder and CTO at Manifold

Predictive analytics is an undeniably valuable technology, with research indicating its market size could top $12 billion USD by 2022. Across a range of industries, businesses, and applications, using historical data to predict future outcomes can lead to greater operational efficiency in a variety of ways. Predictive analytics can enable organizations to streamline their operational processes, optimize their demand forecasting, drastically reduce downtime, and better understand their customers’ propensity to buy.

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Topics: Data science

More Patient Information Can Lead To Better Care. Here's How To Get It Without Paying Too Much.

Posted by Vinay Seth Mohta on Nov 1, 2018 2:00:04 PM
Healthcare providers have historically gathered only clinical data, collecting information when patients needed health services. But collecting information across a broader spectrum provides a more holistic view of a patient and can improve strategies for providing care. Moreover, it can be an incredibly useful indicator of a patient’s long-term health.
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Topics: Healthcare

Manifold Welcomes Joseph Goldbeck to the Team

Posted by Manifold Team on Oct 22, 2018 7:00:00 AM

Joseph Goldbeck has recently joined Manifold as a Data Engineer. In this capacity, he will help clients build production data pipelines to prepare for machine learning and flexibly answering business questions, which can involve migrating from legacy systems to modern, cutting-edge technologies. Joe is a backend engineer with extensive experience leading teams and collaborating closely with business stakeholders.

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Topics: News

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