Month: July 2017

Google creates AI studio to act as an incubator-like program

About the program

Image icon of a half brain, half a.i. blend.We focus on applying tech to product. Thanks in great part to the open-source movement, it’s easier than ever to build a technology company. However, AI & ML innovation is still in its nascent phase and very hard to apply in the building of comprehensive solutions and scalable products.

We want to make technology accessible. In line with recent announcements made by Google’s CEO Sundar Pichai and Chief Scientist Fei Fei Li, Launchpad is more committed than ever to make new technological advances, like AI and ML, universally accessible and useful to startups globally.

We offer tools and best practices to apply AI to products. With this in mind, Launchpad Studio aims to be a go-to hub for the world’s best AI entrepreneurs by empowering them on their journeys, as they build next-gen products that matter.”

https://developers.google.com/startups/studio/

Senior Data Scientist

We’re an exciting young startup that is growing incredibly fast and making a huge impact in the world of digital advertising.
Our platform is connected to thousands of publishers and advertisers worldwide, dealing with hundreds of thousands of requests each second. We utilize the latest technology to solve challenges in traffic, data storage, machine learning, and scalability.
We are searching for a talented data scientist to join our fun and hard-working team, as we go all-in on our data science efforts. This is an important role in one of Toronto’s hottest startups with unlimited potential for growth and opportunities.
Responsibilities:
  • Develop models and algorithms to maximize ROI for platform campaigns and bidding strategies
  • Develop strategies to effectively filter and categorize inventory and impressions
  • Implement a data analysis framework, consisting of tools to analyze and test models effectively
  • Generate insights on user behaviour and implement necessary solutions
    Be able to test results and optimize efficiently
Requirements
  • At least 2 years of relevant experience as a Data Scientist, Masters/PhD degree preferred.
  • Proficient software programming skills, proficiency with Python (Scikit Learn), R (ggplot), and/or Scale
  • Strong understanding Bayesian methods, multidimensional data analysis (PCA, LDA) preferred·
  • Strong experience with multivariate regression (logistic, linear), and classification (random forest, decision tree) preferred
  • Strong experience of machine learning theory (i.e. adaboost, SVM, neural networks)
  • Understanding of applied stochastic processes (Preferred)
  • Pipeline development in working with Hadoop, Spark, Hive, Hbase and related big data technologies (Preferred)
  • Background in advertising technology is a plus
Compensation & Perks:
  • Competitive salary, Full benefits, Gym Membership Reimbursement, weekly yoga, office sport leagues & more
  • Free healthy lunches on Mondays, lots of snacks, weekly beer Fridays, opportunity to become great at Ping Pong
  • Bright office in the heart of the Spadina startup hub
  • Quarterly team events- escape games, bubble soccer, obstacle courses, and much more!

 

 

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Toronto AI Workshop – Convolutional Neural Networks

Toronto AI – Convolutional Neural Networks
Thursday, August 10, 2017
6:15 PM to 8:30 PM
Naborly
302-207 Adelaide Street East, Toronto, ON

Join us for a fascinating evening where we dive into convolutional neural networks.

We will explore some of the concepts and applications behind this powerful form of machine learning, followed by a code demo on how these neural nets can be implemented in TensorFlow. Plenty of social time is planned.

Our friends at Naborly are sponsoring us with their uniquely brilliant space downtown for this event so it will be a very cool night with them. Stay tuned for more details!

Side note: we are starting to collaborate with the Toronto Women’s Data Group – they are hosting some really great events specifically for the community of women (i.e. band of data ninjas) in data science, so be sure to check them out!

 

Toronto AI – Convolutional Neural Networks

Thursday, Aug 10, 2017, 6:15 PM

Location details are available to members only.

45 manifolds Went

Join us for a fascinating evening where we dive into convolutional neural networks.We will explore some of the concepts and applications behind this powerful form of machine learning, followed by a code demo on how these neural nets can be implemented in TensorFlow.   Plenty of social time is planned.Our friends at Naborly are sponsoring us with …

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.