139 episodes

Technical interviews about software topics.

Machine Learning – Software Engineering Dail‪y‬ Machine Learning – Software Engineering Daily

    • Technology

Technical interviews about software topics.

    MindsDB: Automated Machine Learning with Jorge Torres

    MindsDB: Automated Machine Learning with Jorge Torres

    Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear understanding of the various ML models and algorithms. You need to develop the right ML model for your data, train the model, evaluate it, optimize it, analyze it

    • 48 min
    Creation Labs: Self Driving Trucks with Jakub Langr

    Creation Labs: Self Driving Trucks with Jakub Langr

    Creation Labs is helping bring Europe 1 step closer to fully autonomous long haul trucking. They have developed an AI Driver Assistance System (AIDAS) that retrofits to any commercial vehicle, starting with VW Crafters and MAN TGE trucks. Their system uses camera hardware mounted to the vehicle to capture video data that is processed with

    • 48 min
    Pinecone: Vector Database with Edo Liberty

    Pinecone: Vector Database with Edo Liberty

    Vectors are the foundational mathematical building blocks of Machine Learning. Machine Learning models must transform input data into vectors to perform their operations, creating what is known as a vector embedding. Since data is not stored in vector form, an ML application must perform significant work to transform data in different formats into a form

    • 45 min
    OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze

    OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze

    The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such “state-of-the-art” results for machine learning performance rely on the use of handwritten, idiosyncratic optimizations for specific hardware models or operating contexts. When developers are building ML-powered systems

    • 53 min
    iRobot with Chris Svec

    iRobot with Chris Svec

    Embedded Software Engineering is the practice of building software that controls embedded systems- that is, machines or devices other than standard computers. Embedded systems appear in a variety of applications, from small microcontrollers, to consumer electronics, to large-scale machines such as cars, airplanes, and machine tools.  iRobot is a consumer robotics company that applies embedded

    • 56 min
    Reinforcement Learning and Robotics with Nathan Lambert

    Reinforcement Learning and Robotics with Nathan Lambert

    Reinforcement learning is a paradigm in machine learning that uses incentives- or “reinforcement”- to drive learning. The learner is conceptualized as an intelligent agent working within a system of rewards and penalties in order to solve a novel problem. The agent is designed to maximize rewards while pursuing a solution by trial-and-error.  Programming a system

    • 55 min

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