Hunt for talented #machinelearning engineers and professionals was already intensifying in 2015 onwards.

Will hunt for #deeplearning engineers create even bigger waves in the #AI economy?

"How Machine Learning Is Transforming The Hunt for Talent – Part Deux" which he writes occasionally on his personal website.


✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python

The Eye In The Sky"

Satellite Image Classification using Semantic Segmentation

By Manideep Kolla, Apoorva Kumar, Aniket Mandle

GitHub repository: https://lnkd.in/eB2g-dX

#artificialintelligence #deeplearning #machinelearning #keras #tensorflow


✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python

What is required today is not Artificial but Collaborative intelligence. Humans and AI can co-exist for a better and a promising tomorrow.

#ai

✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python

یک #انیمیشن کوتاه فوق‌العاده زیبا که فکر می‌کنم حکایت خیلی از ایده‌ها بوده و هست
An idea can be sparked by a moment of #inspiration. But making that idea come true, takes time and hard work

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Every industry will be impacted by deep learning, and many businesses are already delivering new products and services based on this new way of thinking about data and technology.
#artificialintelligence #deeplearning #neuralnetworks #technology #opportunity #machinelearning #datascience

❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Machine learning projects for kids

Step-by-step guides, with explanations and colour screenshots for students to follow: https://lnkd.in/eYxcp2b

#artificalintelligence #machinelearning

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Facebook: Introducing Wav2latter++
#DataScience #MachineLearning #Artificialintelligence

http://bit.ly/2EP6spL

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Rules of Machine Learning: Best Practices for ML Engineering

By Martin Zinkevich: https://lnkd.in/d-g49zg

#ArtificialIntelligence #MachineLearning

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

A tip for all prospective #datascientists: #datascience is nothing but a new means to solve #business problems. #problemsolving will be only key to success. Coding languages & technologies will keep changing. Problem solving skills will always be top priority for any recruiter.

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

How to manage a Deep Learning team to improving an algorithm in production?

First of all, we split the process into a different part as pre-processing, choose the right model, algorithm implementation and integration.

1. In our team, there is a couple of people has a deep knowledge of the data. These persons can set up the training set in accord with the Deep Learning research that has the goal to find the best model in the literature for our specific problem.

2. The Deep Learning research has the assignment to understand if someone has faced the same problem in some kind of academic research. This is the best starting point to try to solve a real work problem. Bring academic research in an enterprise solution.

3. After trying to reproduce the same result of the academic research we start the real implementation of the algorithm. This means, hyperparameters implementation to find the best fit of our model.

4. The last part is very important. Once we find the best solution in the lab. We have to release this code in production. This is a critical part because sometimes the results are good in the lab but the model does not work very well in the real world.

#deeplearningteam

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❇️ @AI_Python
🗣 @AI_Python_Arxiv

Machine Learning in High Energy Physics Community White Paper"

Paper by Albertsson et al.: https://lnkd.in/ehNqt2k


#ComputationalPhysics #MachineLearning #HighEnergyPhysics

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

A paper list of object detection using deep learning

GitHub: https://lnkd.in/e8USQmc

#deeplearning #machinelearning #objectdetection


✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

NLP 2018 Highlights
The highlights in this report are categorized by the following key topics: AI ethics, research publications, trends, education, resources, industry, and much more

https://github.com/omarsar/nlp_highlights

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Recognizing Speech Commands Using Recurrent Neural Networks with Attention
#ArtificialIntelligence #MachineLearning #DataScience

http://bit.ly/2R1yeGP

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

"Text generation using a RNN with eager execution"

Blog: https://lnkd.in/e3Xvneh

#ArtificialIntelligence #RecurrentNeuralNetworks #TensorFlow

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

SageDB: A Learned Database System

Paper by Tim Kraska:
https://lnkd.in/eKZzqjQ

"GPUs will increase 1000× in performance by 2025, whereas Moore’s law for CPUs essentially is dead. By replacing branch-heavy algorithms with neural networks, the DBMS can profit from these hardware trends."

#artificialintelligence #database #deeplearning #machinelearning #neuralnetworks

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Have you ever wondered just why OpenCV has the fame and name that it has? Yes, the features are there but so is the speed. A month back I performed several tests to compare the performance of OpenCV and other deep learning frameworks on a CPU. You can check out the results at: Join Us
https://www.learnopencv.com/cpu-performance-comparison-of-opencv-and-other-deep-learning-frameworks/

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

All materials of of CS188 Artificial Intelligence are now available

From UC Berkeley and Berkeley AI Research:
https://lnkd.in/eXJdv-R

#artificialintelligence #deeplearning #reinforcementlearning

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv

Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages

By Lample et al.

Paper: https://lnkd.in/d2eXdRS

Code: https://lnkd.in/d8Nk2nY

Blog: https://lnkd.in/d8hGtba

#deeplearning #machinelearning #unsupervisedlearning

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv