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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ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane

ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane

In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his ...

13 Loka 202018min

ML 008: TensorFlow.js and YOU with Jason Mayes

ML 008: TensorFlow.js and YOU with Jason Mayes

TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but ...

6 Loka 202046min

ML 007: Computer Vision & AI Scientist with Beril Sirmacek

ML 007: Computer Vision & AI Scientist with Beril Sirmacek

Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it. Spo...

29 Syys 202040min

ML 006: Mad Science AI with Benson Ruan

ML 006: Mad Science AI with Benson Ruan

Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andre...

22 Syys 202036min

ML 005: Transfer Learning for NLP with Daniel Svoboda

ML 005: Transfer Learning for NLP with Daniel Svoboda

One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock t...

15 Syys 202054min

ML 004: Automated Machine Learning ML with Jorge Torres

ML 004: Automated Machine Learning ML with Jorge Torres

Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also d...

11 Syys 202051min

ML 003: Your GPU Brain with Robert Plummer

ML 003: Your GPU Brain with Robert Plummer

Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning t...

10 Syys 202046min

ML 002: DeOldify Your Life with Jason Antic

ML 002: DeOldify Your Life with Jason Antic

GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images ...

9 Syys 20201h 5min

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