Applications ARE NOW closed for the 2018 Women in Machine Learning Workshop. Stay tuned for more information about the program anD the INSPIRING PARTICIPANTS.

Women in Machine Learning: Deep Learning Workshop

 
 

Like so many areas in STEM, the MLAI industry is suffering from a gender gap. There is also a skills shortage in Australia for qualified machine learning practitioners. The Women in Deep Learning workshops are exclusively for individuals who identify as female, building upon their current skill sets to make them competitive candidates for a range of machine learning jobs.

Despite the incredible opportunities provided by MLAI, there are also serious issues to be considered such as privacy, biases in data, how the technology will be used, and a consideration of the user. With this in mind, it is crucial that more people who identify as female become involved in the industry.

Silverpond developed the following program in a bid to do just that.   

 
 

Program Structure

Step 1: Python Office Hours

Dates: Various before 5 september 2018

Location: VIrtual & Silverpond, Melbourne CBD

One of the few prerequisites for the Deep Learning Workshop is competency in the programming language Python. This allows for the focus of the workshop to be on Deep Learning concepts and practical examples. 

Python open hours will be hosted at the Silverpond office in Melbourne, with the option able to engage remotely online. Efforts will be made to accommodate inflexible schedules, childcare, or other considerations.

Step 2: Deep Learning Workshop

Dates: 5-6 September 2018

Location: Zendesk, Melbourne CBD

Outcomes include:

  • An intuitive understanding of the components of machine learning systems
  • Introduction to building neural networks in TensorFlow and TFLearn
  • Clear understanding of convolutions and representation learning
  • Experimenting with a model that learns representations of words
  • Practical real-world model development in TensorFlow

Step 3: Careers Consulting

Dates: Ongoing

Location: Virtual & Melbourne CBD

To help you take your new skills to a new career, role, or promotion, we have organised access to professional careers consulting.

 
 

Who Should Apply?

Women with a background in IT, data science or software engineering, who would otherwise be unable to attend the Deep Learning Workshops due to financial, caring, location or other considerations. Funding is available to cover interstate travel.

Bold Moves White Paper found that 56% of women in tech leave their jobs by mid-career. Of those, 51% leave the industry completely. We want to support these women to stay in the industry.

 

Sponsors and Partners

 
 Gold Sponsor

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 Gold Sponsor

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 Venue Sponsor

Venue Sponsor