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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The 3 Essentials for Successful Job Outcomes - BONUS

The 3 Essentials for Successful Job Outcomes - BONUS

Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can ...

3 Kesä 202137min

How to Get Hired at a FANG Company - BONUS

How to Get Hired at a FANG Company - BONUS

Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowle...

28 Touko 202122min

Parallelizing Model Training with Michael Galarnyk - ML 032

Parallelizing Model Training with Michael Galarnyk - ML 032

Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning m...

27 Touko 202135min

The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031

The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031

Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several...

20 Touko 202137min

Automated Machine Learning with Qingquan Song - ML 030

Automated Machine Learning with Qingquan Song - ML 030

Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to...

13 Touko 202148min

Becoming the Go-To Person in Your Technology Area - BONUS

Becoming the Go-To Person in Your Technology Area - BONUS

Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, r...

7 Touko 202116min

Machine Learning for the Mars Rover with Annie Didier - ML 029

Machine Learning for the Mars Rover with Annie Didier - ML 029

Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. Sh...

6 Touko 202151min

Tensorflow.js with Gant Laborde - ML 028

Tensorflow.js with Gant Laborde - ML 028

Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and ...

29 Huhti 202150min

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