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 achieve it by working on 3 main areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways. Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes. Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the Dev Influencers Accelerator. Panel
  • Charles Max Wood


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Episoder(209)

BONUS: How to Crush Your Biggest Goals in 2021

BONUS: How to Crush Your Biggest Goals in 2021

Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE (Coupon Code: GOALS for a massive discount) Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lea...

1 Jan 20211h 7min

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 Des 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 Des 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

Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to...

27 Nov 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 Nov 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 Nov 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 Okt 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 Okt 202045min

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