This Week in ML & AI avatar

Dexa/This Week in ML & AI

Learn more
Published Nov 20, 2017

Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery - #69

Explore how Nexosis founders Ryan Sevey and Jason Montgomery are revolutionizing machine learning for enterprise developers with their platform's focus on time series data, dynamic workflows, and automated model enhancements, making advanced predictive modeling accessible without requiring deep data science expertise.
Episode Highlights
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) logo

Topics covered

Popular Clips

Episode Highlights

  • Developer Focus

    Nexosis aims to simplify machine learning for developers by removing the need for deep data science expertise. explains that existing tools often cater to data scientists, leaving developers to grapple with complex model training and algorithm selection 1. By drawing parallels to Twilio's impact on communication applications, Nexosis provides a platform where developers can use familiar programming languages to integrate machine learning into their projects 2. This approach allows developers to focus on building applications without getting bogged down by the intricacies of data science.

    You don't have to learn a new language to incorporate machine learning into your project.

    ---

       

    API Features

    Nexosis offers a free API to encourage widespread adoption among developers, emphasizing ease of use and accessibility. highlights the community edition, which allows users to sign up and start using the API within minutes 3. The platform automates model selection and tuning, utilizing a vast array of algorithms to determine the best fit for a given problem 4. This automation reduces the burden on developers to manually choose and optimize models, streamlining the machine learning process.

    We hold these tournaments and the algorithm that's performing the best based on scoring metrics is the one that's used.

    ---

       

    Collaboration

    The collaboration between developers and data scientists is evolving, with Nexosis fostering an environment for enhanced teamwork. notes the importance of reducing the time from research and development to production by enabling real-time collaboration 5. This approach allows data scientists to refine prototypes created by developers, enhancing the overall quality and efficiency of machine learning projects. adds that enabling developers to quickly prototype applications is crucial, especially given the shortage of data scientists 6.

    Fostering that collaboration is obviously really important to us.

    ---

Related Episodes