Spring 2019 Full Stack Deep Learning Bcootcamp
Hands-on program for developers familiar with the basics of deep learning

https://fullstackdeeplearning.com/march2019

Data Scientist Internship, France
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. Qualified individuals from all walks of life are encouraged to apply.

Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique travel experiences around the world. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb allows people to Belong Anywhere through unique travel experiences at any price point, in more than 34,000 cities and over 191 countries. We promote a culture of curiosity, humanity, and creativity through our product, brand, and, most importantly, our people. In Nov 2016, Airbnb launched a new service, ‘Experiences’.
We are seeking a passionate, positive, bright, forward-thinking and entrepreneurial person to help boost the Kids and Families segment in the experiences business

To be eligible for an internship you must be currently studying within third level education or have graduated within this calendar year

Key Missions

Analysis:

Deep dive analysis into Airbnb’s vast data to uncover opportunities.
Partner with data scientists and analysts to learn and help “tell the story” behind the data.
Business Strategy:

Partnering and learning with business leadership to prioritize areas of opportunity to drive growth.
Evaluate and define business metrics.
Business Execution:

Communicate state of the business to stakeholders.
Digest and interpret deep dive analysis.
Decision Tools:

Democratize data by building and socializing decision tools (dashboards, reports).
Build key data sets/pipelines to empower operational and exploratory analysis.
REQUIREMENTS :

Currently pursuing a PhD, MS or BS in CS, Math, Statistics, Physics, Economics or other quantitative field.
Ability to think and execute at multiple altitudes: from strategy and vision to execution.
Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences, including ability to “story tell” with data.
Ability to write and mentor code development in SQL and Python (or R).
Experience with dashboard design and data viz tools (i.e. Tableau) is a plus.
Experience with building data pipelines is a plus.
Fluency in French and English is required.
****Please submit your CV in English*****

https://careers.airbnb.com/positions/1840514/

FourthBrain fellowship for 6 Months Residential # MachineLearning Training

landing.ai ,deeplearning.ai #deeplearning

The FourthBrain fellowship is a full-time, six-month residential training program with the goal of training strong software developers to be junior machine learning engineers. It starts in the fall 2019.
@ArtificialIntelligenceArticles
What is the cost of the program?

There are no upfront costs. You will pay back the program cost through an income share agreement - a portion of your future income over 5 years. In addition, they will provide you with housing and onsite meals, for the entirety of the program.

Applicants are expected to have the following background:@ArtificialIntelligenceArticles

-Knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program in Python or a similarly modern advanced computer language.
@ArtificialIntelligenceArticles
-Familiarity and novice-level competencies/working knowledge with probability theory, multivariable calculus, and linear algebra

When does the program start, and where is it?

The program starts in the Fall of 2019 with the time being split between Silicon Valley and Puerto Rico.

Please contact programme sponsor for more information.
@ArtificialIntelligenceArticles
Apply:

https://jobs.lever.co/landing/24339f87-6fa7-4df9-a71b-04baa99f74ee/

Deep Reinforcement Learning

CS 285 at UC Berkeley


https://rail.eecs.berkeley.edu/deeprlcourse/

By Sergey Levine


video :

https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A
#deeplearning #deepreinforcementlearning #artificialintelligence #AI

Compressive Transformers for Long-Range Sequence Modelling

https://openreview.net/forum?id=SylKikSYDH

Watch Lex Fridman discussing the future landscape of Autonomous Vehicles at our Deep Learning Summit in San Francisco last year. We'll be returning to San Francisco in January 2020

@ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=YgRD30iE4o0

https://t.iss.one/ArtificialIntelligenceArticles

CalTech Machine Learning Full course by Prof. Yaser Abu Moustafa. I have learnt the most from this course.
https://www.youtube.com/watch?v=idu8kaPFf1A&list=PL41qI9AD63BMXtmes0upOcPA5psKqVkgS

Google Releases Two New NLP Dialog Datasets - Anthony Alford
https://www.infoq.com/news/2019/10/google-nlp-dataset/

A differentiable bipartite matching algorithm with theoretical convergence

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

code https://github.com/ZENGXH/DMM_Net

paper https://arxiv.org/pdf/1909.12471.pdf

Working memory revived in older adults by synchronizing rhythmic brain circuits
https://www.nature.com/articles/s41593-019-0371-x.epdf

An Overview of Deep Learning Applications in Manufacturing | Exxact
https://towardsdatascience.com/an-overview-of-deep-learning-applications-in-manufacturing-exxact-64018629ca

Fermionic neural-network states for ab-initio electronic structure
Choo et al.: https://arxiv.org/abs/1909.12852
#Physics #MachineLearning #NeuralNetworks

Machine learning for neural decoding
Glaser et al.: https://arxiv.org/abs/1708.00909
#Cognition #MachineLearning #NeuralNetworks

Great applications for the fashion industry-

Poly-GAN: Garments are automatically placed on images of human models at an arbitrary pose

https://www.profillic.com/paper/arxiv:1909.02165

Built by Stanford researchers: TunaGAN: Modify high-resolution face images with good qualitative and quantitative performance.

https://www.profillic.com/paper/arxiv:1908.06163

‘Backronym’ May Help To Generate Ideas in Machine Learning by Visualizing Hundreds of Research Papers Together

Website: https://backronym.xyz/graph.html
Paper: https://arxiv.org/pdf/1908.01874v2.pdf
https://www.marktechpost.com/2019/09/29/backronym-may-help-to-generate-ideas-in-machine-learning-by-visualizing-hundreds-of-research-papers-together/

Why is Andrew Ng reading a 30-year old software engineering paper?

https://worrydream.com/refs/Brooks-NoSilverBullet.pdf

https://t.iss.one/ArtificialIntelligenceArticles

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Xu et al.: https://arxiv.org/abs/1910.00116
#ArtificialIntelligence #DeepLearning #MachineLearning

Compressive Transformers for Long-Range Sequence Modelling
Anonymous : https://openreview.net/forum?id=SylKikSYDH
#ArtificialIntelligence #MachineLearning #Transformer