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 and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you.

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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 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 Sponsors Dev Influencers AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 knowledge needed to pass the interview. How to build the relationships to get into the door and have the interviewer want you to succeed. And how to build the reputation that has the company wanting you regardless of the outcome. This approach also works for speaking at conferences, selling courses, and other outcomes as well as it's the core of building a successful career as an influencer. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 models on multi-core machines. He also walks Chuck through the ins and outs of being in Developer Relations. Panel Charles Max Wood Guest Michael Galarnyk Sponsors Dev Influencers Accelerator Links Speeding up Scikit-Learn Model TrainingHow to Build a Data Science PortfolioMichael Galarnyk - MediumTwitter: Michael Galarnyk ( @GalarnykMichael )LinkedIn: Michael Galarnyk Picks Charles- Words of Radiance: Stormlight ArchiveCharles- Buying cars on local classifiedsMichael- The Cost of Financing a Car (Car Loans)Michael- Success is an Iceberg (we all fail sometimes)Michael- Destiny's Crucible | Olan Thorensen Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat.tv ( @devchattv )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 Tensorflow extensions that will make your Machine Learning models better and your understanding of what is going on easier. He and Chuck walk through each one and highlight when and why you'd want to use them. Panel Charles Max Wood Guest Derrick Mwiti Sponsors Dev Influencers Accelerator Links The Best Machine Learning Frameworks & Extensions for TensorFlowDerrick MwitiDerrick Mwiti | Data Scientist | Author | Mentor | UdemyTwitter: Derrick Mwiti ( @_mwitiderrick )LinkedIn: Derrick Mwiti Picks Charles- Who Not HowCharles- Fanatical ProspectingCharles- Hunting HitlerDerrick- Purple Cow: Transform Your Business by Being Remarkable Derrick- This Is Marketing: You Can't Be Seen Until You Learn to See  Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat.tv ( @devchattv )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers. Panel Charles Max Wood Guest Qingquan Song Sponsors Dev Influencers Accelerator Links Automated Machine Learning in ActionHaifeng Jin's BlogXia Ben Hu, Texas A&M UniversityAutoKerasAbout me - Qingquan SongLinkedIn: Qingquan Song Picks Charles- Who Not HowCharles- Ruby Rogues | Devchat.tvCharles- Encourage people to have empathyQingquan- Working as a team is better than working individuallyQingquan- Focus on one thing at a timeQingquan- "Work hard and Play Harder"Qingquan- Learn from othersAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do. So, how do you become the first person people think of when they think of that thing you know how to do? Let Chuck tell you. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel Charles Max Wood Guest Annie Didier Sponsors Dev Influencers Accelerator Links MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)SCOTI: Science Captioning of Terrain Images for data prioritization and local image searchMAARS: Machine learning-based Analytics for Automated Rover SystemsSULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover MissionsAI4Mars - ZooniverseLinkedIn: Annie Didier Picks Annie- When Breath Becomes Air Charles- The Martian Charles- Back MarketCharles- monday.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel Charles Max Wood Guest Gant Laborde Sponsors Dev Influencers Accelerator Links Learning TensorFlow.js by Gant LabordeLearning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant LabordeTwitter: Gant Laborde ( @GantLaborde )gantlaborde.com Picks Charles- monday.comCharles- The Sales Development Playbook Trish BertuzziGant- Antifragile by Nassim Nicholas Taleb Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

29 Huhti 202150min

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