Andriy Burkov, ML at Gartner, author of The Hundred-Page Machine Learning book:
People dealing with machine learning models are frequently confusing accuracy, precision, and recall.
Accuracy is the ratio of correct predictions in all examples used for testing. So, you tested your model on 100 examples (some of them are positives, some are negatives, the ratio doesn't matter). The model correctly predicted the label of 97 examples of those 100, so your accuracy is 97/100 = 0.97.
Precision is a measure of accuracy on the labels of interest only. Often, the labels of interest are positive labels (i.e., spam), but it depends on the application. So, you tested your model on 100 examples. The model predicted as spam 80 of them, but only 60 of those 80 were correct predictions, so your precision is 60/80 = 0.75.
Recall is a measure of how many examples of interest your model has identified as such. Let's say you have 100 examples, you know that 70 of them are spam. Your model only predicted as spam 60 of those 70. So your recall is 60/70 = 0.86.
Accuracy and precision are easy to confuse, but they represent totally different quantities, so be careful when you use these terms in conversations and reports.
Precision and recall usually have a relationship of being mutually exclusive. When you try to increase precision, you decrease recall and vice versa.
#machinelearning #artificialintelligence
@pythonicAi
People dealing with machine learning models are frequently confusing accuracy, precision, and recall.
Accuracy is the ratio of correct predictions in all examples used for testing. So, you tested your model on 100 examples (some of them are positives, some are negatives, the ratio doesn't matter). The model correctly predicted the label of 97 examples of those 100, so your accuracy is 97/100 = 0.97.
Precision is a measure of accuracy on the labels of interest only. Often, the labels of interest are positive labels (i.e., spam), but it depends on the application. So, you tested your model on 100 examples. The model predicted as spam 80 of them, but only 60 of those 80 were correct predictions, so your precision is 60/80 = 0.75.
Recall is a measure of how many examples of interest your model has identified as such. Let's say you have 100 examples, you know that 70 of them are spam. Your model only predicted as spam 60 of those 70. So your recall is 60/70 = 0.86.
Accuracy and precision are easy to confuse, but they represent totally different quantities, so be careful when you use these terms in conversations and reports.
Precision and recall usually have a relationship of being mutually exclusive. When you try to increase precision, you decrease recall and vice versa.
#machinelearning #artificialintelligence
@pythonicAi
Pythonic AI
@pythonicAi
یکی از مسائل علمی داغ و پرچالش دنیا این است که یادگیری ماشین روی دستگاه‌های مختلف (موبایل، مچ‌بند هوشمند، دستگاه‌های پزشکی) انجام شود. به این ترتیب، پروتزی که در بدن یک فرد گذاشته میشود هوشمند خواهد بود.
یکی از چالش‌ها، نیاز به پردازنده قوی و حافظه بالا است. می‌توان داده‌ها را به یک سرور قوی منتقل کرد، اما این کار مشکلاتی مانند نقض حریم شخصی و عدم تضمین ارتباط با شبکه دارد.
پژوهش برای یادگیری روی خود دستگاه‌ها شروع شده، اما این کارها خاص‌منظوره هستند و دقت آنها هم عموما بالا نیست. به همین دلیل آقای کشاورز الگوریتمی برای یادگیری روی خود دستگاه ساخته، و نامش را «صفر» گذاشته که به دلیل زمان اجرا و انرژی مصرفی‌اش بود.
هدف این بوده که الگوریتم را روی میکروکنترلر Arduino Uno اجرا کنند که پردازنده 20 مگاهرتزی و رم 2 کیلوبایتی دارد و قیمتش در حال حاضر 79 هزار تومان است. این الگوریتم باید بسیار بسیار ساده می‌بوده و این چالش اصلی بوده.
در ویدیو، چراغی یک ثانیه روشن است و 1.2 ثانیه خاموش. آن 0.2 ثانیه زمانی است که صرف یادگیری ماشین روی داده‌های با اندازه معقول میشود.
کاربردهای این الگوریتم شامل پزشکی تا خانه‌های هوشمند و دستگاه‌های صنعتی میشود. این اولین الگوریتم عام‌منظوره جدیدی است که برای یادگیری روی دستگاه‌ها ساخته شده است.
صفر یک الگوریتم Classification با زمان اجرا و انرژی مصرفی بسیار پایین است.
لینک مقاله:
https://arxiv.org/abs/2006.04620
آدرس لینکدین آقای کشاورز:
https://www.linkedin.com/in/hamidreza-keshavarz-54aa532a
#machinelearning #artificialintelligence #paper
@pythonicAi
یکی از چالش‌ها، نیاز به پردازنده قوی و حافظه بالا است. می‌توان داده‌ها را به یک سرور قوی منتقل کرد، اما این کار مشکلاتی مانند نقض حریم شخصی و عدم تضمین ارتباط با شبکه دارد.
پژوهش برای یادگیری روی خود دستگاه‌ها شروع شده، اما این کارها خاص‌منظوره هستند و دقت آنها هم عموما بالا نیست. به همین دلیل آقای کشاورز الگوریتمی برای یادگیری روی خود دستگاه ساخته، و نامش را «صفر» گذاشته که به دلیل زمان اجرا و انرژی مصرفی‌اش بود.
هدف این بوده که الگوریتم را روی میکروکنترلر Arduino Uno اجرا کنند که پردازنده 20 مگاهرتزی و رم 2 کیلوبایتی دارد و قیمتش در حال حاضر 79 هزار تومان است. این الگوریتم باید بسیار بسیار ساده می‌بوده و این چالش اصلی بوده.
در ویدیو، چراغی یک ثانیه روشن است و 1.2 ثانیه خاموش. آن 0.2 ثانیه زمانی است که صرف یادگیری ماشین روی داده‌های با اندازه معقول میشود.
کاربردهای این الگوریتم شامل پزشکی تا خانه‌های هوشمند و دستگاه‌های صنعتی میشود. این اولین الگوریتم عام‌منظوره جدیدی است که برای یادگیری روی دستگاه‌ها ساخته شده است.
صفر یک الگوریتم Classification با زمان اجرا و انرژی مصرفی بسیار پایین است.
لینک مقاله:
https://arxiv.org/abs/2006.04620
آدرس لینکدین آقای کشاورز:
https://www.linkedin.com/in/hamidreza-keshavarz-54aa532a
#machinelearning #artificialintelligence #paper
@pythonicAi
Forwarded from Pythonic AI (Soroush Hashemi far)
Intro: A New Way to Start Linear Algebra, by Gilbert Strang
Edition: 2020
Link
Youtube videos
#course #linalg #math #machinelearning #artificialintelligence
@pythonicAi
Edition: 2020
Link
Youtube videos
#course #linalg #math #machinelearning #artificialintelligence
@pythonicAi
MIT OpenCourseWare
A Vision of Linear Algebra | Mathematics | MIT OpenCourseWare
This collection of videos presents Professor Strang’s updated vision of how linear algebra could be taught.
It starts with six brief videos, recorded in 2020, containing many ideas and suggestions about the recommended order of topics in teaching and learning…
It starts with six brief videos, recorded in 2020, containing many ideas and suggestions about the recommended order of topics in teaching and learning…
Mathematics for Machine Learning
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
شرکت Amazon یه سری کورس رایگان گذاشته که قبلا فقط برای کارمندانش بوده. این آموزشها شامل 9 بخشه که سه بخش اولش شامل:
🔸NLP
🔸Computer Vision
🔸Tabular Data
میشه. اگه به ماشین لرنینگ و دیتاساینس علاقه دارید، فرصت رو از دست ندید.
Youtube channel
متریال آموزشی هم اینجاست👇
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv
https://github.com/aws-samples/aws-machine-learning-university-accelerated-tab
#machinelearning #datascience #computervision #nlp #artificialintelligence #course
@pythonicAi
🔸NLP
🔸Computer Vision
🔸Tabular Data
میشه. اگه به ماشین لرنینگ و دیتاساینس علاقه دارید، فرصت رو از دست ندید.
Youtube channel
متریال آموزشی هم اینجاست👇
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv
https://github.com/aws-samples/aws-machine-learning-university-accelerated-tab
#machinelearning #datascience #computervision #nlp #artificialintelligence #course
@pythonicAi
MIT launched a New free Course on Machine learning
https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about
#machinelearning #artificialintelligence #course
@pythonicAi
https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about
#machinelearning #artificialintelligence #course
@pythonicAi
openlearninglibrary.mit.edu
Introduction to Machine Learning
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts…
Federated Learning
چیست؟
A machine learning procedure where the goal is to train a high-quality model with data distributed over several independent providers.
به این شکل که بجای جابجا کردن دیتا بین سرورها و تجمیع آنها، مدل ها و الگوریتمها دست به دست میشوند.
اهمیت federated learning در کیس های زیر مشخص میشود:
- حفظ حریم شخصی کاربران اهمیت زیادی دارد
- جابجایی دیتا از یک سرور به سرور دیگر ممکن است هزینه زیادی به بار آورد
- محافظت از دیتا (data protection) اهمیت بالایی دارد
#artificialintelligence #machinelearning
@pythonicAi
چیست؟
A machine learning procedure where the goal is to train a high-quality model with data distributed over several independent providers.
به این شکل که بجای جابجا کردن دیتا بین سرورها و تجمیع آنها، مدل ها و الگوریتمها دست به دست میشوند.
اهمیت federated learning در کیس های زیر مشخص میشود:
- حفظ حریم شخصی کاربران اهمیت زیادی دارد
- جابجایی دیتا از یک سرور به سرور دیگر ممکن است هزینه زیادی به بار آورد
- محافظت از دیتا (data protection) اهمیت بالایی دارد
#artificialintelligence #machinelearning
@pythonicAi
7 Awesome Open Source Machine Learning Project Repos
1⃣ DeOldify
2⃣ Real-Time Voice Cloning
3⃣ Face Recognition
4⃣ NeuralTalk2
5⃣ U-GAT-IT
6⃣ Srez
7⃣ TecoGAN
#artificialintelligence #machinelearning
@pythonicAi
1⃣ DeOldify
2⃣ Real-Time Voice Cloning
3⃣ Face Recognition
4⃣ NeuralTalk2
5⃣ U-GAT-IT
6⃣ Srez
7⃣ TecoGAN
#artificialintelligence #machinelearning
@pythonicAi
GitHub
GitHub - jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!)
A Deep Learning based project for colorizing and restoring old images (and video!) - jantic/DeOldify
Forwarded from Pythonic AI (Soroush Hashemi far)
Mathematics for Machine Learning
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
1. Deep Science: Using machine learning to study anatomy, weather and earthquakes (20 hours ago)
https://techcrunch.com/2021/01/04/deep-science-using-machine-learning-to-study-anatomy-weather-and-earthquakes
2. How artificial intelligence will be used in 2021 (December 31, 2020)
https://techcrunch.com/2020/12/31/how-artificial-intelligence-will-be-used-in-2021
3. National Grid sees machine learning as the brains behind the utility business of the future (December 24, 2020)
https://techcrunch.com/2020/12/24/national-grid-sees-machine-learning-as-the-brains-behind-the-utility-business-of-the-future
4. Arthur.ai snags $15M Series A to grow machine learning monitoring tool (December 9, 2020)
https://techcrunch.com/2020/12/09/arthur-ai-snags-15m-series-a-to-grow-machine-learning-monitoring-tool
5. AWS expands on SageMaker capabilities with end-to-end features for machine learning (December 9, 2020)
https://techcrunch.com/2020/12/08/aws-expands-on-sagemaker-capabilities-with-end-to-end-features-for-machine-learning
6. AWS announces SageMaker Clarify to help reduce bias in machine learning models (December 8, 2020)
https://techcrunch.com/2020/12/08/aws-announces-sagemaker-clarify-to-help-reduce-bias-in-machine-learning-models
7. Tecton.ai nabs $35M Series B as it releases machine learning feature store (December 7, 2020)
https://techcrunch.com/2020/12/07/tecton-ai-nabs-35m-series-b-as-it-releases-machine-learning-feature-store
8. AWS launches SageMaker Data Wrangler, a new data preparation service for machine learning (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-launches-sagemaker-data-wrangler-a-new-data-preparation-service-for-machine-learning
9. AWS announces Panorama, a device that adds machine learning technology to any camera (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-announces-panorama-a-device-adds-machine-learning-technology-to-any-camera
10. AWS launches Trainium, its new custom ML training chip (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-launches-trainium-its-new-custom-ml-training-chip
#machinelearning #artificialintelligence #news
@pythonicAI
https://techcrunch.com/2021/01/04/deep-science-using-machine-learning-to-study-anatomy-weather-and-earthquakes
2. How artificial intelligence will be used in 2021 (December 31, 2020)
https://techcrunch.com/2020/12/31/how-artificial-intelligence-will-be-used-in-2021
3. National Grid sees machine learning as the brains behind the utility business of the future (December 24, 2020)
https://techcrunch.com/2020/12/24/national-grid-sees-machine-learning-as-the-brains-behind-the-utility-business-of-the-future
4. Arthur.ai snags $15M Series A to grow machine learning monitoring tool (December 9, 2020)
https://techcrunch.com/2020/12/09/arthur-ai-snags-15m-series-a-to-grow-machine-learning-monitoring-tool
5. AWS expands on SageMaker capabilities with end-to-end features for machine learning (December 9, 2020)
https://techcrunch.com/2020/12/08/aws-expands-on-sagemaker-capabilities-with-end-to-end-features-for-machine-learning
6. AWS announces SageMaker Clarify to help reduce bias in machine learning models (December 8, 2020)
https://techcrunch.com/2020/12/08/aws-announces-sagemaker-clarify-to-help-reduce-bias-in-machine-learning-models
7. Tecton.ai nabs $35M Series B as it releases machine learning feature store (December 7, 2020)
https://techcrunch.com/2020/12/07/tecton-ai-nabs-35m-series-b-as-it-releases-machine-learning-feature-store
8. AWS launches SageMaker Data Wrangler, a new data preparation service for machine learning (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-launches-sagemaker-data-wrangler-a-new-data-preparation-service-for-machine-learning
9. AWS announces Panorama, a device that adds machine learning technology to any camera (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-announces-panorama-a-device-adds-machine-learning-technology-to-any-camera
10. AWS launches Trainium, its new custom ML training chip (December 1, 2020)
https://techcrunch.com/2020/12/01/aws-launches-trainium-its-new-custom-ml-training-chip
#machinelearning #artificialintelligence #news
@pythonicAI
TechCrunch
National Grid sees machine learning as the brains behind the utility business of the future
If the portfolio of a corporate venture capital firm can be taken as a signal for the strategic priorities of their parent companies, then National Grid has high hopes for automation as the future of the utility industry.
Forwarded from NeColl
1. Connecting employer healthcare plans to surgical centers of excellence nets Carrum Health $40 million (44 minutes ago)
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https://www.forbes.com/sites/forbestechcouncil/2021/01/06/diversity-and-inclusion-begins-with-job-listings/
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https://www.forbes.com/sites/janakirammsv/2021/01/05/mlopsthe-missing-piece-in-the-enterprise-ai-puzzle/
10. Forbes A.I. Awards 2020: Meet GPT-3, The Computer Program That Can Write An Op-Ed (Jan 4, 2021)
https://www.forbes.com/sites/kenrickcai/2021/01/04/forbes-ai-awards-2020-meet-gpt-3-the-computer-program-that-can-write-an-op-ed/
11. Deep Science: Using machine learning to study anatomy, weather and earthquakes (January 4, 2021)
https://techcrunch.com/2021/01/04/deep-science-using-machine-learning-to-study-anatomy-weather-and-earthquakes/
12. How artificial intelligence will be used in 2021 (December 31, 2020)
https://techcrunch.com/2020/12/31/how-artificial-intelligence-will-be-used-in-2021/
13. 11 Of The Smartest Ways To Leverage Machine Learning Ad Tools (Dec 30, 2020)
https://www.forbes.com/sites/forbesagencycouncil/2021/12/30/11-of-the-smartest-ways-to-leverage-machine-learning-ad-tools/
14. National Grid sees machine learning as the brains behind the utility business of the future (December 24, 2020)
https://techcrunch.com/2020/12/24/national-grid-sees-machine-learning-as-the-brains-behind-the-utility-business-of-the-future/
15. Arthur.ai snags $15M Series A to grow machine learning monitoring tool (December 9, 2020)
https://techcrunch.com/2020/12/09/arthur-ai-snags-15m-series-a-to-grow-machine-learning-monitoring-tool/
#machinelearning
@pythonicAI
https://techcrunch.com/2021/01/07/connecting-employer-healthcare-plans-to-surgical-centers-of-excellence-nets-carrum-health-40-million/
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https://www.forbes.com/sites/traceywelsonrossman/2021/01/07/ensuring-healthcares-innovation-boom-benefits-all-equally/
4. How Individual Investors Can Become Your Most Loyal And Valuable Customers (7 hours ago)
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https://www.forbes.com/sites/forbestechcouncil/2021/01/06/diversity-and-inclusion-begins-with-job-listings/
9. MLOps - The Missing Piece In The Enterprise AI Puzzle (Jan 5, 2021)
https://www.forbes.com/sites/janakirammsv/2021/01/05/mlopsthe-missing-piece-in-the-enterprise-ai-puzzle/
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https://www.forbes.com/sites/kenrickcai/2021/01/04/forbes-ai-awards-2020-meet-gpt-3-the-computer-program-that-can-write-an-op-ed/
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https://techcrunch.com/2021/01/04/deep-science-using-machine-learning-to-study-anatomy-weather-and-earthquakes/
12. How artificial intelligence will be used in 2021 (December 31, 2020)
https://techcrunch.com/2020/12/31/how-artificial-intelligence-will-be-used-in-2021/
13. 11 Of The Smartest Ways To Leverage Machine Learning Ad Tools (Dec 30, 2020)
https://www.forbes.com/sites/forbesagencycouncil/2021/12/30/11-of-the-smartest-ways-to-leverage-machine-learning-ad-tools/
14. National Grid sees machine learning as the brains behind the utility business of the future (December 24, 2020)
https://techcrunch.com/2020/12/24/national-grid-sees-machine-learning-as-the-brains-behind-the-utility-business-of-the-future/
15. Arthur.ai snags $15M Series A to grow machine learning monitoring tool (December 9, 2020)
https://techcrunch.com/2020/12/09/arthur-ai-snags-15m-series-a-to-grow-machine-learning-monitoring-tool/
#machinelearning
@pythonicAI
Forbes
11 Essential Skills Executive Teams Need From Their CIOs
From overseeing digitization initiatives to finding ways to better serve customers, the role of chief information officer has expanded, and tech professionals climbing the ladder need to be aware of what their executive teams look for in up-and-coming CIOs.
500 AI, Machine learning, Deep learning, Computer vision, and NLP Projects with code
Link
#machinelearning #deeplearning #artificialintelligence #project
@pythonicAi
Link
#machinelearning #deeplearning #artificialintelligence #project
@pythonicAi
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep…
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
By: Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi
Link
#dataset #machinelearning #deeplearning #artificialintelligence
@pythonicAi
By: Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi
Link
#dataset #machinelearning #deeplearning #artificialintelligence
@pythonicAi
Forwarded from Pythonic AI (Soroush Hashemi far)
شرکت Amazon یه سری کورس رایگان گذاشته که قبلا فقط برای کارمندانش بوده. این آموزشها شامل 9 بخشه که سه بخش اولش شامل:
🔸NLP
🔸Computer Vision
🔸Tabular Data
میشه. اگه به ماشین لرنینگ و دیتاساینس علاقه دارید، فرصت رو از دست ندید.
Youtube channel
متریال آموزشی هم اینجاست👇
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv
https://github.com/aws-samples/aws-machine-learning-university-accelerated-tab
#machinelearning #datascience #computervision #nlp #artificialintelligence #course
@pythonicAi
🔸NLP
🔸Computer Vision
🔸Tabular Data
میشه. اگه به ماشین لرنینگ و دیتاساینس علاقه دارید، فرصت رو از دست ندید.
Youtube channel
متریال آموزشی هم اینجاست👇
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv
https://github.com/aws-samples/aws-machine-learning-university-accelerated-tab
#machinelearning #datascience #computervision #nlp #artificialintelligence #course
@pythonicAi
https://github.com/soroushhashemifar/Multi-Layered-Perceptron
https://github.com/mnielsen/neural-networks-and-deep-learning
پیاده سازی شبکه عصبی و یادگیری عمیق از پایه و بدون استفاده از کتابخانه های سطح بالا
#deeplearning #machinelearning #artificialintelligence
@pythonicAi
https://github.com/mnielsen/neural-networks-and-deep-learning
پیاده سازی شبکه عصبی و یادگیری عمیق از پایه و بدون استفاده از کتابخانه های سطح بالا
#deeplearning #machinelearning #artificialintelligence
@pythonicAi
GitHub
soroushhashemifar/Multi-Layered-Perceptron
Multi layered neural network on a breast cancer dataset - soroushhashemifar/Multi-Layered-Perceptron
Audio Deep Learning Made Simple: Automatic Speech Recognition (ASR), How it Works
Speech-to-Text algorithm and architecture, including Mel Spectrograms, MFCCs, CTC Loss and Decoder, in Plain English
Link
#machinelearning #deeplearning #speechrecognition #ctcloss
@pythonicAi
Speech-to-Text algorithm and architecture, including Mel Spectrograms, MFCCs, CTC Loss and Decoder, in Plain English
Link
#machinelearning #deeplearning #speechrecognition #ctcloss
@pythonicAi
Medium
Audio Deep Learning Made Simple: Automatic Speech Recognition (ASR), How it Works
Speech-to-Text algorithm and architecture, including Mel Spectrograms, MFCCs, CTC Loss and Decoder, in Plain English
Forwarded from NeColl
1. Prime Day Predictions From One Of Amazon’s Largest Third-Party Sellers And Newly Minted Unicorn, Perch. (1 hour ago)
https://www.forbes.com/sites/garydrenik/2021/06/02/prime-day-predictions-from-one-of-amazons-largest-third-party-sellers-and-newly-minted-unicorn-perch/
2. Machine Learning Is Not A 'Better Horse' (3 hours ago)
https://www.forbes.com/sites/forbestechcouncil/2021/06/02/machine-learning-is-not-a-better-horse/
3. 16 Trinity Challenge Finalists Hold Out Hope For Future Pandemic Management (23 hours ago)
https://www.forbes.com/sites/nigelwilson/2021/06/01/16-trinity-challenge-finalists-hold-out-hope-for-future-pandemic-management/
4. Why Do Board Directors And CEO’s Need To Value Sustainability And AI Relevance? (May 31, 2021)
https://www.forbes.com/sites/cindygordon/2021/05/31/why-do-board-directors-and-ceos-need-to-value-sustainability-and-ai-relevance/
5. Making AI Sing: An Interview With Verphoria On The Use Of Artificial Intelligence Within The Music Industry (May 31, 2021)
https://www.forbes.com/sites/anniebrown/2021/05/31/making-ai-sing-an-interview-with-verphoria-on-the-use-of-artificial-intelligence-within-the-music-industry/
6. The Five Ways To Build Machine Learning Models (May 30, 2021)
https://www.forbes.com/sites/cognitiveworld/2021/05/30/the-five-ways-to-build-machine-learning-models/
7. On Thinking Machines, Machine Learning, And How AI Took Over Statistics (May 28, 2021)
https://www.forbes.com/sites/gilpress/2021/05/28/on-thinking-machines-machine-learning-and-how-ai-took-over-statistics/
8. Korea's Riiid raises $175M from SoftBank to expand its AI-based learning platform to global markets (May 24, 2021)
https://techcrunch.com/2021/05/24/riiid-ai-education-softbank/
9. Google Revamps Its Cloud-Based Machine Learning Platform Yet Again (May 19, 2021)
https://www.forbes.com/sites/janakirammsv/2021/05/19/google-revamps-its-cloud-based-machine-learning-platform-yet-again/
10. Why MLOps Is Critical To The Future Of Your Business (May 19, 2021)
https://www.forbes.com/sites/googlecloud/2021/05/19/why-mlops-is-critical-to-the-future-of-your-business/
11. Google Cloud launches Vertex AI, a new managed machine learning platform (May 18, 2021)
https://techcrunch.com/2021/05/18/google-cloud-launches-vertex-a-new-managed-machine-learning-platform/
12. Google Analytics prepares for life after cookies (May 13, 2021)
https://techcrunch.com/2021/05/13/google-analytics-prepares-for-life-after-cookies/
13. AI is ready to take on a massive healthcare challenge (May 6, 2021)
https://techcrunch.com/2021/05/06/ai-is-ready-to-take-on-a-massive-healthcare-challenge/
14. Computer vision inches toward 'common sense' with Facebook's latest research (April 30, 2021)
https://techcrunch.com/2021/04/30/computer-vision-inches-towards-common-sense-with-facebooks-latest-research/
#machinelearning
@pythonicAI
https://www.forbes.com/sites/garydrenik/2021/06/02/prime-day-predictions-from-one-of-amazons-largest-third-party-sellers-and-newly-minted-unicorn-perch/
2. Machine Learning Is Not A 'Better Horse' (3 hours ago)
https://www.forbes.com/sites/forbestechcouncil/2021/06/02/machine-learning-is-not-a-better-horse/
3. 16 Trinity Challenge Finalists Hold Out Hope For Future Pandemic Management (23 hours ago)
https://www.forbes.com/sites/nigelwilson/2021/06/01/16-trinity-challenge-finalists-hold-out-hope-for-future-pandemic-management/
4. Why Do Board Directors And CEO’s Need To Value Sustainability And AI Relevance? (May 31, 2021)
https://www.forbes.com/sites/cindygordon/2021/05/31/why-do-board-directors-and-ceos-need-to-value-sustainability-and-ai-relevance/
5. Making AI Sing: An Interview With Verphoria On The Use Of Artificial Intelligence Within The Music Industry (May 31, 2021)
https://www.forbes.com/sites/anniebrown/2021/05/31/making-ai-sing-an-interview-with-verphoria-on-the-use-of-artificial-intelligence-within-the-music-industry/
6. The Five Ways To Build Machine Learning Models (May 30, 2021)
https://www.forbes.com/sites/cognitiveworld/2021/05/30/the-five-ways-to-build-machine-learning-models/
7. On Thinking Machines, Machine Learning, And How AI Took Over Statistics (May 28, 2021)
https://www.forbes.com/sites/gilpress/2021/05/28/on-thinking-machines-machine-learning-and-how-ai-took-over-statistics/
8. Korea's Riiid raises $175M from SoftBank to expand its AI-based learning platform to global markets (May 24, 2021)
https://techcrunch.com/2021/05/24/riiid-ai-education-softbank/
9. Google Revamps Its Cloud-Based Machine Learning Platform Yet Again (May 19, 2021)
https://www.forbes.com/sites/janakirammsv/2021/05/19/google-revamps-its-cloud-based-machine-learning-platform-yet-again/
10. Why MLOps Is Critical To The Future Of Your Business (May 19, 2021)
https://www.forbes.com/sites/googlecloud/2021/05/19/why-mlops-is-critical-to-the-future-of-your-business/
11. Google Cloud launches Vertex AI, a new managed machine learning platform (May 18, 2021)
https://techcrunch.com/2021/05/18/google-cloud-launches-vertex-a-new-managed-machine-learning-platform/
12. Google Analytics prepares for life after cookies (May 13, 2021)
https://techcrunch.com/2021/05/13/google-analytics-prepares-for-life-after-cookies/
13. AI is ready to take on a massive healthcare challenge (May 6, 2021)
https://techcrunch.com/2021/05/06/ai-is-ready-to-take-on-a-massive-healthcare-challenge/
14. Computer vision inches toward 'common sense' with Facebook's latest research (April 30, 2021)
https://techcrunch.com/2021/04/30/computer-vision-inches-towards-common-sense-with-facebooks-latest-research/
#machinelearning
@pythonicAI
Forbes
Prime Day Predictions From One Of Amazon’s Largest Third-Party Sellers And Newly Minted Unicorn, Perch.
Amazon Prime Day is one of the most anticipated sales events of the year. Last year, in 2020, Prime Day generated $10.4 billion worth of goods sold, more than double that of 2018’s figure of $4.19 billion. While 2020 was a landmark year for the event it was…