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Senior Product Manager, Data Science & Analytics

#artificialintelligence

Open Junior Data Analyst Jobs Open Machine Learning Scientist Jobs Open Sr. Machine Learning Engineer Jobs Open Data Architect Jobs Open Data Analytics Manager Jobs Open Data Engineer - Toronto Hub Jobs Open Data Scientist, Machine Learning Jobs Open Data Science Manager Jobs Open Manager, Data Engineering Jobs Open Head of Data Science Jobs Open Senior Software Engineer, Machine Learning Jobs Open Applied Data Scientist - B2B Sales Incrementality Jobs Open Data Science Intern Jobs Open Data Analyst II Jobs Open Data Analyst Intern Jobs Open Lead Data Analyst Jobs Open Data Scientist (Remote) Jobs Open Business Data Analyst Jobs Open Data Engineer: Data Integration Jobs Open Senior Data Analyst (Bangkok Based, relocation provided) Jobs Open Senior Software Engineer - Machine Learning - Toronto Hub Jobs Open Data Engineer - New York Hub Jobs Open Financial Data Analyst Jobs Open Sr. Data Analyst Jobs Open Staff Data Scientist Jobs


Speaking Opportunities at Toronto Womxn in Data Science

#artificialintelligence

At Toronto Womxn in Data Science our vision is to inspire and empower 1 million data-literate womxn, increase the recruitment and retention of womxn in data professions and encourage innovation in this space. Our enterprise strategy to enable our vision is to provide programming that celebrates womxn in data and educates those interested in the field through events, mentorship, and data product co-creation. Please fill out the following form to express your interest in being an expert at Toronto Womxn in Data Science's programming! Over the last 4 years, we've showcased the knowledge and career journeys of Womxn in Data Science across academia, industry, start-ups, and government. Our content has always been diverse, allowing us to keep our audience engaged and learning. Our themes cover technical, business, and ethics topics in data science. Some opportunities include: Annual Conference, Podcast feature, Data Media Club, Datathon Masterclass Instructor, Panelist, Inclusive Fellowship Program in house expert Annual Conference: The 5th Annual Womxn in Data Science Conference is from Wednesday, April 27th to Thursday, April 28th, 2022. We welcome you to submit a proposal to speak. Presentations will be a maximum of 30 minutes plus 5 minutes of Q&A. Facilitating a hands on workshop is also an acceptable format (max 2 hours in length. Podcast Feature: We have a podcast called Data Drop. Data Drop is a podcast meant to inform youth about the amazing learning and career opportunities in the field of Data Science. The segments are 15 minutes or less and available wherever you listen to your podcasts. Data Media Club: The Data Media Club is a chance for our community to increase their data literacy through film, books and art. Built to be completely virtual, we welcome attendees from coast to coast to join us. As a speaker at a data media club engagement, we're looking for hosts to drive meaningful conversations with authors, directors, or other media leaders who centre their work on data. Datathon Masterclass Instructors: Our 1st Datathon will be in January 2022. We're looking for experts in Product, Inclusive Design, Ethics, and Data Science to run a 30-45 minute masterclass on how the participants can tackle the design challenge. Panelist: We have microevents that run from 6-8pm EST. Upcoming Microevents are on November 17th on Natural Language Processing and January 19th on Data Engineering. The panel will run for an hour from 7-8pm. Inclusive Fellowship Program in house experts: We want to encourage women to not only pursue data careers but have a chance to position themselves as creators and not just consumers of data products. The program will place fellows on projects to use data science to create products and services that positively impact all women. The fellows will have a chance to use their work on the projects as portfolio-building content to help secure further employment post-fellowship. Our in house experts will help guide the fellows through the program. The program is set to launch in April 2022.


The Data Analyst Course: Complete Data Analyst Bootcamp 2021

#artificialintelligence

Created by Andrei Neagoie, Daniel BourkePreview this Course - GET COUPON CODE This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery! Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).


Fairness and bias in artificial intelligence - Big Data and AI Toronto

#artificialintelligence

We can also make the algorithm set a different threshold for different sub-groups, making it easier or harder for a subgroup to get an optimistic prediction. Adopting such a technique will help offset the historical disadvantage one subgroup has over the other. Dr. Thomas shared one last thought with the audience. "You need to ensure fairness in your AI models. Don't assume that the algorithm is just going to do it properly, that the data is probably clean enough, or that it's not going to matter that much. Everyone needs to solve this very important problem by taking active measures to assess whether your model's predictions are fair and to fix it using some of these techniques."


The Future of AI and Big Data: Three Concepts

#artificialintelligence

"We are probably in the second or third inning." Lo, a professor of finance at the MIT Sloan School of Management, and Ajay Agrawal of the University of Toronto's Rotman School of Management shared their perspective at the inaugural CFA Institute Alpha Summit in May. In a conversation moderated by Mary Childs, they focused on three principal concepts that they expect will shape the future of AI and big data. Lo said that applying machine learning to such areas as consumer credit risk management was certainly the first inning. But the industry is now trying to use machine learning tools to better understand human behavior.


Product Manager - Data Science - Toronto Hub

#artificialintelligence

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world's largest pharmaceutical companies to emerging biotechs. Veeva's software helps our customers bring medicines and therapies to patients faster. We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.


Complete Machine Learning and Data Science: Zero to Mastery

#artificialintelligence

HIGHEST RATED, 4.8 (240 ratings), Created by Andrei Neagoie, Daniel Bourke, English [Auto-generated] Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000 developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).


Complete Machine Learning & Data Science Bootcamp 2021

#artificialintelligence

This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!


Towards a New Participatory Approach for Designing Artificial Intelligence and Data-Driven Technologies

arXiv.org Artificial Intelligence

With there being many technical and ethical issues with artificial intelligence (AI) that involve marginalized communities, there is a growing interest for design methods used with marginalized people that may be transferable to the design of AI technologies. Participatory design (PD) is a design method that is often used with marginalized communities for the design of social development, policy, IT and other matters and solutions. However, there are issues with the current PD, raising concerns when it is applied to the design of technologies, including AI technologies. This paper argues for the use of PD for the design of AI technologies, and introduces and proposes a new PD, which we call agile participatory design, that not only can could be used for the design of AI and data-driven technologies, but also overcomes issues surrounding current PD and its use in the design of such technologies.


Complete Machine Learning and Data Science: Zero to Mastery

#artificialintelligence

This is a brand new Machine Learning and Data Science course just launched January 2020 and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 270,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).