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 lead to meeting your goals. Mani has read thousands of books on success, setting and achieving goals, and personal growth and has distilled these 6 principles from the books and then figured out how to put them into practice. He and Chuck walk through the principles and strategies that create success and allow you to set goals that will bring you the things you want during the next year or so. Listen to this episode to learn 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) 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.
1 Tammi 20211h 7min
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 component of this is Machine Learning. It optimizes business processes and helps data scientists understand the data they have. Panel Beril SirmacekDaniel SvobodaGant Laborde Guest Alexey Grigorev Sponsors Machine Learning for Software Engineers by Educative.ioAudible.com Picks Alexey- DataTalks.ClubBeril- Rise of AI | Building an European AI EcosystemDaniel - dair.ai- Medium Daniel- Quantum Stat- MediumDaniel- Towards Data ScienceGant- AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence by Laurence MoroneyAdvertising 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 Joulu 202052min
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 walks the reader through building a system that predicts whether bus routes in Toronto will be late using public domain data. Panel Charles Max Wood Guest Mark Ryan Sponsors Machine Learning for Software Engineers by Educative.ioAudible.com Links OpenAIRasaKeras Picks Chuck - Podcast Growth SummitChuck-Most Valuable DevChuck- Wheel of Time by Robert JordanMark - Spitting ImageAdvertising 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.
23 Joulu 202048min
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 get our minds into that focused state for hours at a time. He has read hundreds of books that have taught him the secrets to getting more done by getting into this state. He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects. The trick? Deep Work! Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal. Other developers call it "Flow" or "the Zone." Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount 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 Marras 202047min
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, & Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant LabordeDaniel SvobodaBeril Sirmacek Guest Frank Kane Links https://gabriellecrumley.com/ Picks Daniel Svoboda: Silicon Valleymachinelearningmastery.com Beril Sirmacek: XAI course 2020 ~ Module2 ~ Introduction to AI & ML Gant Laborde: https://mlconf.eu/ Charles Max Wood: Stroopwafel (dutch food)https://www.podcastgrowthsummit.co/ Frank Kane: https://sundog-education.com/datascience.comUntil the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising 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.
17 Marras 202048min
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 science. He and the panelists then dive into the basics of what you need to know and break up the scary sounding terms and mathematical concepts into bite size pieces. Enter for a chance to win a copy of Nick’s video course at https://devchat.tv/mere-mortals. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodJason Mayes Guest Nick Chase Picks Jason Mayes: Browser-Based Augmented Reality Sudoku Solver using TensorFlow and Image Processing Charles Max Wood: https://www.brandonsanderson.com/the-stormlight-archive-series/https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do Nick Chase: Machine Learning for Mere Mortals Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising 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 Marras 202036min
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. Industry revolutions and how we can adapt them to improve life. Laurence is working on new synthetic datasets so tune in and check it out! Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant LabordeJason MayesDaniel Svoboda Guest Laurence Moroney Picks Jason Mayes: TensorFlow.js Show and Tell on Youtube Gant Laborde: https://www.tensorflowtictactoe.co/ Daniel Svoboda: Youtube: Kaggle Laurence Moroney: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsThe Manga Guide to Machine Learning Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising 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 Loka 202055min
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 and exciting topics she’s working on. There’s banter about self-driving cars and golf carts as they apply AI/ML to practical and non-practical uses. The epic mind-powered guitar takes the stage and classic movies get referenced. Be sure to follow Milecia on her adventures in Machine Learning on her Twitter at https://twitter.com/flippedcoding. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Milecia McGregor Links HalfStackNYC talkHawaiihttps://github.com/google-research/berthttps://scholar.google.com/https://audible.com/code Picks Gant Laborde: http://virtualcoffee.io/ Charles Max Wood: The Black Prism Milecia McGregor: War of Arthttps://javascript-conference.com/node-js/reading-thoughts-with-javascript/ Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising 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 Loka 202045min
