The Intersection of Success and Talent Retention in Software Development - ML 156

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 education in computer science from MIT, to his discovery and embracing of machine learning. Hassan discusses various applications of machine learning, including that of NASA, satellites and edge devices.. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Hassan Kane Links www.kaggle.com/c/birdsong-recognition Picks Gant Laborde: My daughter turning 2 years oldtwitter.com/funmachinelearn Charles Max Wood: Black Prismwritingexcuses.comblastoffbootcamper.com Hassan Kane: AI-Superpowers-China-Silicon-Valleytwitter.com/black_in_ai 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.

13 Loka 202018min

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 what if you can utilize it in Javascript to program deep learning models for frontend web applications. Guest Jason Mayes talks about doing this with Tensorflow JS. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Jason Mayes Links https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fchttps://github.com/jasonmayeshttp://www.jasonmayes.comhttps://www.linkedin.com/in/creativetechGithub CodeGoogle Groupcodepen.io/topic/tensorflowGlitchglitch.com/@TensorFlowJS Picks Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: https://podcastplaybook.coLegends (TV show) Jason Mayes: #MadeWithTFJS 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.

6 Loka 202046min

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. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Beril Sirmacek Links https://www.youtube.com/user/DrSirmacek/videoshttp://www.berilsirmacek.com/Sequential image processing methods for improving semantic video segmentation algorithmsDEEPLAB vs YOLOUnderstanding model predictions with LIME Picks Gant Laborde: React Native EU Charles Max Wood: Warbreaker Mass Market Beril Sirmacek: Fast Academic Success: Little Book of The Life Changing Secrets 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.

29 Syys 202040min

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 Andrew Ng’s deep learning course that started his journey up to his current position. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Benson Ruan Links Real-time webcam background change with body segmentation techniqueFace mask virtual try on with face landmarks detection techniqueTwitter Sentiment Analysis Picks Gant Laborde: My Hero Academia Charles Max Wood: The 12 Week YearThe Obstacle Is the Way by Ryan Holiday Benson Ruan: TensorFlow.js Community Show & Tell 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.

22 Syys 202036min

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 trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP even further. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Daniel Svoboda Links towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlpai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.htmlai.googleblog.com/2017/08/transformer-novel-neural-network.htmlwww.nltk.orgspacy.iohttps://www.kaggle.com  Picks Charles Max Wood: Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream CustomersRange: Why Generalists Triumph in a Specialized World Gant Laborde: AI-QuickStartGuide.pdf Daniel Svoboda: Star Trek: Picard 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.

15 Syys 202054min

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 does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network models for researchers, along with providing explanation of features. Sponsors Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant Laborde Guest Jorge Torres Links www.mindsdb.compytorch.orgtensorflow.orgwww.geeksforgeeks.org/confusion-matrix-machine-learningwww.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learninghttps://www.kiwibot.com/ Picks Gant Laborde: NVIDIA RTX Voice: Setup Guide Charles Max Wood: Russell Brunson’s books Jorge Torres: Iain M. Banks, Author on Amazonkrisp.ai 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.

11 Syys 202051min

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 to the extent that a child would be able to grasp it? Robert Plummer discusses incorporating machine learning for Javascript and opens up a whole new paradigm. Sponsors Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant LabordeEric Chalmers Guest Robert Plummer Links Javascript for machine learning? Get a real languagewww.learnwithjason.devmaxcoders.io Picks Eric Chalmers: The problem with metrics is a big problem for AI Gant Laborde: Spooky Fun with Race Recognition Charles Max Wood: The MaxCoders Guide To Finding Your Dream Developer Job Robert Plummer: Abstract: The Art of Design | Netflix 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.

10 Syys 202046min

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 of the Roman Emperors using their busts and frescos. Special guest Jason Antic talks about GANs and his work with deOldify, an application to color and restore images. Sponsor Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant LabordeEric Chalmers Guest Jason Antic Links fast.aiDeOldify Facebook F8 Movie Colorization DemoTensorBoard: TensorFlow’s visualization toolkitpytorch.org Picks Eric Chalmers: The Untethered Soul: The Journey Beyond Yourself Gant Laborde: Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners Charles Max Wood: The 360 Degree Leader: Developing Your Influence from Anywhere in the Organization Jason Antic: TV Show: Adam Ruins Everything 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.

9 Syys 20201h 5min