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 group learning curves, the value of collaboration, and the indispensable role of peer review in creating robust solutions.


They'll also touch upon the nuanced perspectives of working at top tech companies like Google and Databricks, examining how timing and project involvement can shape a developer's skillset and career trajectory. From the importance of understanding one's career goals to the powerful impact of a company's culture on code quality, they aim to uncover the multifaceted aspects of professional growth in tech.


Join they as they delve into stories of overengineered solutions, the necessity of constructive feedback, and the collaborative efforts that define truly great products. Whether you're aspiring to join the elite 1% of developers, or simply looking to understand the dynamics of a high-functioning team, this episode is packed with insights and practical advice. So, tune in and let's explore the path to greatness together!


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

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BONUS: How to Crush Your Biggest Goals in 2021

BONUS: How to Crush Your Biggest Goals in 2021

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ML 015: Extracting Value from Data with Alexey Grigorev

ML 015: Extracting Value from Data with Alexey Grigorev

Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big compon...

29 Joulu 202052min

ML 014: Deep Learning with Structured Data with Mark Ryan

ML 014: Deep Learning with Structured Data with Mark Ryan

Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book...

23 Joulu 202048min

BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

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27 Marras 202047min

ML 013: Recommender Systems with Frank Kane

ML 013: Recommender Systems with Frank Kane

In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, & ...

17 Marras 202048min

ML 012: Machine Learning for Mere Mortals with Nick Chase

ML 012: Machine Learning for Mere Mortals with Nick Chase

Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the ...

3 Marras 202036min

ML 011: History of AI in the UK with Laurence Moroney

ML 011: History of AI in the UK with Laurence Moroney

In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Indust...

27 Loka 202055min

ML 010: Brains, Guitars, and JavaScript with Milecia McGregor

ML 010: Brains, Guitars, and JavaScript with Milecia McGregor

In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled a...

20 Loka 202045min

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