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25:40

Build a Machine Learning App From Scratch with Flask & Docker

Learn how to build a Machine Learning App in Python with Flask & Docker, with @Francesco Ciulla. Part 2: https://youtu.be/zGP_nYmZd9c Francesco’s Twitter: https://twitter.com/FrancescoCiull4 Code: https://github.com/python-engineer/ml-deployment Dataset: https://www.kaggle.com/datasets/kazanova/sentiment140 Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN […]
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10
12:14

#16 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 8]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]
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9
01:18

SingularityNET: Semantic Search and Processing for text, image and video

An Open Source, interpretable, semantic search solution for unstructured data including text, image, and video files. The solution features an NLP transformer network for semantic search of text documents and a computer vision model that allows for cross-modal semantic search in images. https://proposals.deepfunding.ai/collaborate/edb5d68d-6c92-4e16-80ca-f50ed07888b2 —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to […]
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16
02:22

SingularityNET: Sobriety Algorithm AI supported Recovery

Tracking and analyzing the critical data that leads to success with empowerment, healing, addiction recovery, and mental health, with the aim of creating a recipe for healing substance-use disorders all across the world. Decentralizing treatment by giving clients back ownership of their data and their healing process using AI, blockchain, dAPPs, NFTs, and shared treasury […]
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8
01:29

SingularityNET: Outdoor Fire Monitor

This AI-powered tool will prevent fires in agricultural, forest, and industrial areas by enabling early detection and rapid response to fires in hard-to-reach areas. Cutting-edge AI algorithms published on the platform will track the presence of smoke and trigger alerts. With this service, users will be able to transform their security cameras into smart smoke […]
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13
01:24

SingularityNET: MUSEVERSE | Music into the metaverse

Create an AI for analyzing musical instruments from physical space and projecting them in real-time into virtual reality, starting with a piano keyboard. This solution will provide an opportunity for creating VR applications for playing, composing, and collaborating on music in VR.  https://proposals.deepfunding.ai/collaborate/6c6b947e-2b00-49d0-9212-063d4a355cac —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to […]
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2
42:26

AI for Enterprise Decisioning at Scale with Rob Walker – #573

Today we’re joined by Rob Walker, vp of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ML in the context of customer engagement and decisioning, the various problems that need to […]
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7
19:21

A developer's guide to responsible AI review processes

From startups to corporations across industries, organizations are creating AI principles and ethics review processes to complement technical approaches to developing ML and AI responsibly. Listen to emerging socio-technical practices, ML tools, and lessons learned from Google’s ethics review teams who support developers as they build products. Resource: TensorFlow website → https://goo.gle/3KejoUZ Speakers: Madeleine Elish, […]
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07:58

#17 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 9]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]
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16
14:49

SingularityNET: HEDGE NEXT GENERATION AI FINCRIME COMPLIANCE TOOL

An integrated tool that will assist businesses to meet all compliance requirements in one solution, including; Customer onboarding, KYC / KYB, Identity document verifications, AML Monitoring, etc. The team will publish their custom-built AI services on the platform and make them available for third parties as well.  https://proposals.deepfunding.ai/collaborate/0865a541-749d-4303-9a76-6d476a0ed017 —- SingularityNET is a decentralized marketplace for […]
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25
12:07

SingularityNET: Risk aware Assessments of AI Algorithms

Photrek will provide a Coupled Variational Autoencoder as a service for the SingularityNet community. This algorithm has the ability to fill gaps in real-world data as a crucial issue in improving the pipeline of machine learning forecasting capability. It will provide simulated interpolation of these gaps that can be tuned based on the degree of […]
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23
05:20

SingularityNET: Decentralized Physics Simulations

A decentralized protocol for the simulation of physical systems leveraging Nunet and SingularityNet for computation and AI services. Featuring end-to-end integration of multi-scale simulations for developing and employing theoretical and AI algorithms built up from heterogeneous data sources, symbolic knowledge extraction, and cognitive principles. https://proposals.deepfunding.ai/collaborate/b213135a-0c0c-43a9-a73f-cbed776c5b48 —- SingularityNET is a decentralized marketplace for artificial intelligence. We […]
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8
25:09

Apply responsible AI principles when building remote sensing datasets

Learn how to apply responsible AI frameworks while making decisions related to datasets and coding with large-scale social benefit in mind. Walk through a version of the developer tutorial, “Hello [Dynamic] World,” and learn how to use a new dataset using Google Earth Engine data responsibly. Presented in collaboration with Google’s Geo for Good team. […]
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05:11

#10 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 2]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]
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22:13

Adding Machine Learning to your developer toolbox

Machine learning can be a challenging field, as there are a lot of new concepts to learn from the perspectives of mobile, web, and back-end developers. Find out how easy it is to start using machine learning in your app with TensorFlow tools. Resource: TensorFlow website → https://goo.gle/3KejoUZ Speaker: Gus Martins Watch more: All Google […]
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08:29

#14 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 6]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]
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02:14:19

SingularityNET: Pod Leader Meeting Update May

Recording of the #SingularityNET Ecosystem leaders meeting, early May 2022, providing you with the latest updates straight from the source. Speaker list, in order of appearance: Janet Adams – COO – SingularityNET Hubert Kirch – Quantitative Analyst Lead – SingularityDAO Marcello Mari – CEO – SingularityDAO Robert Wils – Head of Product – SingularityDAO Jan […]
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34:52

Product fairness testing for Machine Learning developers

Product fairness testing is an essential step for developers as they build ML models responsibly. Discover the key steps you should take to conduct holistic product fairness tests, in addition to understanding both the technical and user-centric societal perspectives you should incorporate into your process. Walk away understanding the end-to-end journey of assessing a dataset […]
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17
09:33

#8 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 1, Lesson 8]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]
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2.91K
05:55

Two Minute Papers: DeepMind’s New AI Learns From Humans! 🤖

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “Learning Robust Real-Time Cultural Transmission without Human Data” is available here: https://www.deepmind.com/research/publications/2022/Learning-Robust-Real-Time-Cultural-Transmission-without-Human-Data https://sites.google.com/view/dm-cgi ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to […]
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1.83K
00:40

Do you know THIS about round() in Python??? 🤔

Everyone knows the round function, but do you know we can use negative values as argument? Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ : https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1 ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 […]
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35
36:36

Transfer learning in JavaScript with TensorFlow.js

Learn how to make your very own version of the popular Teachable Machine website. Use TensorFlow.js live in the web browser to train a custom machine learning model to then recognize any object you show it, made possible through a technique known as transfer learning. Building on that concept, you can quickly create new models […]
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06:24

#13 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 5]

The Machine Learning Engineering for Production (MLOps) Specialization teaches you how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills […]