AIAR Weekly #20

Annoucement:
 This is last, and as you can see, incomplete issue of AIAR Weekly. AIAR Weekly was very interesting experiment, and based on results from it, I decided to suspend it without due date. Thanks you very much for reading my materials and following news from world of artificial intelligence and robotics! I hope that my work was usable to someone. See you soon on my other projects and experiments!

AIAR Weekly

Issue #20

22.04.2016

Articles and videos:

• [AI] 3D Visualization of a Convolutional Neural Network - Neat real time 3D visualization of CNN. You can adjust your handwriting and see how it is affecting results from neural network.
• [AI] Machine Learning Recipes with Josh Gordon - Google just started short video tutorials series dedicated to ML. There are two videos for now based on scikit, but they promise harder and harder topics and usage of tensor flow in further materials. Nice place to start with machine learning.
• [AI] A dummy’s guide to Deep Learning (part 3 of 3) - Third and last part in simple introduction to deep learning. This time, author prepared some hands on examples for playing with MNIST data set.

Crowdfunding:

• [R] Codeybot: New Robot Who Teaches Coding - Codeybot is a simple robot which is designed to combine free play fun with teaching to program actual physical device. It looks very modern and based on presentation it gives positive look and feel.

Book of the week:

• [AI] Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks - Third book in a series dedicated to teaching different artificial intelligence methods. This time, author focuses on explaining neural networks and deep learning possibilities.

Courses:

• [AI] Machine Learning: Regression - "In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets."

Jobs:

• [AI] Computer Vision / Machine Learning Engineer @ Cruise - Cruise looking for skilled engineers for developing autonomous car systems. If you have some experience in machine learning, this might be good option for you. Location: San Francisco, USA. Tags: python, c++, theano, caffe, computer-vision.

Kudos:

Michał Neonek, MrValgad, Tompul, Magdalena, Mucha

Appendix:

Do you have link to cool news, article, tutorial or video and want to share with other robot/AI fans? Send it to me and if meet quality standards I will include it in next issue of AIAR Weekly.

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