Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to feedback and the profound value of peer review in refining solutions.


They delve into technical aspects, including Python's Pytest framework for unit tests and the delicate balance between complexity and simplicity in testing for maintainability and readability. Additionally, they touch on Michael's hands-on learning curve, tackling unfamiliar concepts such as RAG, embeddings, LLMs, and Git development, all while managing significant time constraints and social commitments.


Moreover, Ben shares his mentorship philosophy, likening it to military training—pushing mentees to their limits without prior warning to foster resilience and self-improvement. They also discuss the importance of documentation, bug bashes, and the fine art of balancing integration and unit tests to ensure robust and thorough software.


Join them as they explore the journey from initial struggle to increased autonomy and confidence, using real-world examples of testing gaps, code complexities, and the powerful impact of daily feedback. Whether you're a seasoned developer or just starting your tech career, this episode is packed with valuable insights to enhance your learning and development process. So, stay tuned and dive right in!


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

Jaksot(209)

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, star...

8 Elo 202456min

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.Aaron kicks things off by underlining the cultural facets in...

24 Heinä 20241h 6min

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat,...

18 Heinä 202457min

Functional Programming Shift and Scalable Architecture Insights - ML 158

Functional Programming Shift and Scalable Architecture Insights - ML 158

In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to p...

11 Heinä 202456min

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasi...

4 Heinä 202454min

The Intersection of Success and Talent Retention in Software Development - ML 156

The Intersection of Success and Talent Retention in Software Development - ML 156

In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and gr...

27 Kesä 20241h

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledg...

20 Kesä 202457min

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, e...

13 Kesä 20241h 7min

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