Rules of Machine Learning: Best Practices for ML Engineering
By Martin Zinkevich: https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
#ArtificialIntelligence #MachineLearning

Deep RL Bootcamp
By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://sites.google.com/view/deep-rl-bootcamp/lectures
#100DaysOfMLCode #ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning

Instead of fraudsters let’s embrace high quality lectures available in public for free from *actual* scientists who *are* experts!
Begin your Natural language processing learning with Stanford NLP’s lectures!

https://m.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Jaquier et al.: https://arxiv.org/abs/1910.04998
#BayesianOptimization #Robotics #MachineLearning

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
Colin et al.: https://arxiv.org/abs/1910.05104
#DeepLearning #MachineLearning #ParallelComputing

Senior Data Engineer
Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

Job Description

Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.

The fast-growing Manulife Canadian Data office is hiring a senior data engineer working on advanced analytics engineering, data services, AI/machine learning production, and DataOps in Toronto or Waterloo office

As Senior Data Engineer in this role you will work on:
@ArtificialIntelligenceArticles
AI/Machine learning engineering and production
Big data application and analytics products
Advanced analytics and DataOps solutions in the Big Data ecosystem
Responsibilities for this role include:

Build AI/machine learning engineering and production, including recommendation engine and real-time decision management system
Lead multiple multi-functional teams to build big data application and analytics products using cloud/bigdata/advanced analytics technologies to advance Manulife’s all lines of business
Participate in PoC/PoT efforts to integrate new Big Data management technologies, software engineering tools, and new patterns into existing structures
Exploratory data analysis; Query and process Big Data, provide reports, summarize and visualize the data
Research opportunities for data acquisition and new uses for existing data
Development of Big Data set processes for data modeling, mining and production
Consult, collaborate, and recommend solutions for batch and streaming use case patterns
Create and publish design documents, usage patterns, and cookbooks for technical community
Experience required for this role is as follows:
@ArtificialIntelligenceArticles
Over three years of experience in Pyspark/SparkSQL/Scala programming in cloud/spark environment
Strong experience in AI/Machine learning engineering and production
Hands-on working experience in building recommendation engine and real-time decision management system
Experience with DevOps or continuous delivery tools and processes a plus
Experience with data as service/API service/Microservice/Neo4j/Elasticsearch/sparkstreaming
Experience in Big Data performance analysis, tuning and capacity planning
Show passion, take accountability, and be willing to grow and lead
What about Perks?

Manulife has lots of perks including, but not limited to:

Competitive compensation
Retirement Savings Accounts including a RPP (Pension Plan), RRSP (Retirement Savings Plan), and TFSA (Tax Free Savings account)
Manulife Share Ownership Program with employer matching
Customizable Benefits Package including Health, Dental, Vision, and 100% of Mental Health expenses
Financial support for ongoing training, learning, and education
Monthly Innovation Days (Hackathons)
Wearing jeans to work every day
An abundance of career paths and opportunities to advance
A flexible work environment with flex hours, work from home arrangements, distributed teams, and condensed work week arrangements.
This is a full time permanent role that can be worked from Toronto or Waterloo, Ontario.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

https://ai-jobs.net/job/senior-data-engineer-8/

Learning Symbolic Physics with Graph Networks

Miles D. Cranmer, Rui Xu, Peter Battaglia, Shirley Ho : https://arxiv.org/abs/1909.05862

#GraphNetworks #MachineLearning #Physics

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Gao et al.: https://arxiv.org/abs/1910.04987
#ArtificialIntelligence #DeepLearning #MachineLearning

TensorFlow.js gallery of projects, tutorials, videos, and more!

https://github.com/tensorflow/tfjs/blob/master/GALLERY.md

#deeplearning #tensorflowjs #tutorials

"Improving generalization and robustness with noisy collaboration in knowledge distillation"

Elahe Arani, Fahad Sarfraz, and Bahram Zonooz : https://arxiv.org/pdf/1910.05057.pdf

#DeepLearning #KnowledgeDistillation #Generalization #Robustness

Learning Symbolic Physics with Graph Networks

Miles D. Cranmer, Rui Xu, Peter Battaglia, Shirley Ho : https://arxiv.org/abs/1909.05862

#GraphNetworks #MachineLearning #Physics

24 International Artificial Intelligence experts will be at the AI Bootcamp 2019, Lagos 19-24, Nov. 2019

24, yes, twenty-four world-class Artificial Intelligence industry practitioners and academic researchers will be flying to Lagos 19-24 November 2019 to teach and mentor at the 2019 #AIBootcamp. It is 100% FREE -accommodation, feeding & travel grant to everyone traveling from outside Lagos.

It is the biggest capacity building and high-quality Artificial Intelligence bootcamp where the best of the best sharpen their skill, get inspired to go farther, build networks, win awards and get good jobs/internships.

It is a critical part of our vision to raise *1million AI talents in 10 years*

You can be there! START now:
https://www.kaggle.com/c/intercampusai2019

NB: There are 11 Nigeria-based experts who will also join them to make a total of 35 instructors for 150 best of the best participants in a ratio of 5 students to 1 instructor.

Fei-Fei Li of Stanford HAI challenges us to use technology to serve humanity at its broadest and most diverse extent. Join her at #SfN19 for “Dialogues Between Neuroscience and Society” to hear of the potential that AI & #MachineLearning pose for society.
@ArtificialIntelligenceArticles
https://www.sfn.org/Meetings/Neuroscience-2019/Sessions-and-Events/Scientific-Program/Lectures
join
@ArtificialIntelligenceArticles

SC-FEGAN: "Face Editing Generative Adversarial Network with User's Sketch and Color":
https://arxiv.org/abs/1902.06838 https://github.com/run-youngjoo/SC-FEGAN

At the Institute for Advanced Studies in Princeton this week for the workshop "Theory of Deep Learning: Where next?"

https://math.ias.edu/wtdl

Faculty positions in AI and Machine Learning at Oregon State

The School of Electrical Engineering and Computer Science at Oregon State University invites applications for full-time, nine-month, tenure-track faculty positions in Artificial Intelligence to begin in Fall 2020. Candidates with a strong research record in any areas of Artificial Intelligence including Natural Language Processing, Computer Vision, Machine Learning, and Automated Planning will be considered.

Appointment is anticipated at the Assistant Professor rank, but candidates with exceptional qualifications may be considered for appointment at the rank of Associate or Full Professor. Applicants must hold a doctorate degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related field by the start of employment. Applicants should demonstrate a strong commitment and capacity to initiate new funded research as well as to expand, complement, and collaborate with existing research programs in the OSU College of Engineering and beyond. As part of the position, applicants have to regularly perform graduate and undergraduate teaching duties, including developing new courses related to their research expertise. Applicants are expected to mentor students and promote equitable outcomes among learners of diverse and underrepresented identity groups.

The university is located in Corvallis, at the heart of Oregon’s Willamette Valley and close to Portland’s Silicon Forest with numerous collaboration opportunities. The College of Engineering (CoE) boasts of strong graduate programs in Robotics and AI and a newly established Collaborative Robotics and Intelligent Systems Institute (CoRIS). Corvallis has been ranked # 1 on a list of “Best Places for Work-Life Balance” and is within easy reach of the Cascade Mountains and the Oregon Coast.

Oregon State University has a strong institutional commitment to diversity and multiculturalism, and provides a welcoming atmosphere with unique professional opportunities for leaders from underrepresented groups. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who share our vision of an inclusive community.

Apply online at https://jobs.oregonstate.edu/postings/79556 with the following documents: A letter of interest; vita; a two-page statement of research interests; a one-page statement of teaching interests; a one-page statement on efforts towards equity and inclusion; and names and contact information for at least three references.

To be assured full consideration, applications must be received by December 1, 2019.

Get started with machine learning on Arduino
Blog by ARDUINO TEAM : https://blog.arduino.cc/2019/10/15/get-started-with-machine-learning-on-arduino/
#Arduino #MachineLearning #Tensorflow