Adventures in Machine Learning Por capa

Adventures in Machine Learning

De: Charles M Wood
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  • Sumário

  • Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    Copyright Charles M Wood
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Episódios
  • AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153

    AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153
    Jun 6 2024
    Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized targeting to AI-driven data collection. The episode tackles dynamic risk assessment, the arms race between attackers and defenders, and the role of open-source models in security.
    They explore AI's potential to monitor, defend, and even augment human efforts against security threats, touching on both the opportunities and ethical challenges. They also examine AI's role in protecting against social media scams and phishing attacks, envisioning a future where AI acts as our digital guardian.
    Whether you're in cybersecurity, development, or simply curious about AI's impact on security, this episode is packed with valuable insights. Stay tuned for a fascinating discussion!


    Socials
    • LinkedIn: Daniel Miessler


    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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    1 hora e 18 minutos
  • The Journey to Expertise with Fernando Lopez - ML 152

    The Journey to Expertise with Fernando Lopez - ML 152
    May 23 2024
    Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech giants like Google. They share their candid experiences with impostor syndrome, practical tips for continuous learning, and the nuances of scaling solutions in the dynamic tech landscape.
    Explore the nuances of software development, the complex interplay of learning strategies, and the realities of navigating large-scale organizations. Join them as the industry experts unravel the intricacies of prototyping, scaling challenges, and the value of hands-on experience in shaping successful tech careers. Get ready to immerse yourself in a wealth of knowledge and thought-provoking insights that underscore the essence of growth and innovation in the tech realm.

    Socials
    • LinkedIn: Fernando Lopez


    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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    1 hora e 5 minutos
  • Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151

    Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151
    May 9 2024
    Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and innovations in deploying models into production, particularly focusing on the real-world implications of ETA (Estimated Time of Arrival) modeling at Lyft. They share valuable insights, from the complexities of A/B testing and long-term impact assessment, to the dynamic nature of handling real-time data and addressing unpredictability in route predictions. Join them as they journey through the world of model deployment, bug identification, and career development within the fast-paced environment of Lyft's data-driven infrastructure.

    Sponsors
    • Chuck's Resume Template
    • Developer Book Club
    • Become a Top 1% Dev with a Top End Devs Membership

    Socials
    • LinkedIn: Deeksha Goyal
    • LinkedIn: Michael Sun


    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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    1 hora e 7 minutos

Sinopse

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Copyright Charles M Wood
Sucesso na Carreira Economia
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