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)

Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185

Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185

In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brand...

4 Huhti 202555min

Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184

Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184

Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, th...

13 Helmi 202551min

Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183

Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183

Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest...

24 Tammi 202555min

Cows, Camels, and the Human Brain - ML 182

Cows, Camels, and the Human Brain - ML 182

What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researche...

9 Tammi 202542min

A/B Testing with ML ft. Michael Berk - ML 181

A/B Testing with ML ft. Michael Berk - ML 181

Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setu...

2 Tammi 202545min

Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180

Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180

In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry stil...

26 Joulu 202431min

Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179

Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179

Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS a...

19 Joulu 202454min

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by ...

12 Joulu 20241h 12min

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