Women in Machine Learning: Deep Learning Workshop

 

Like so many areas in STEM the MLAI Industry is suffering from the Gender Gap. Paradoxically, there is a skills shortage in Australia for qualified people to be working in this area. We will run Deep Learning workshops exclusively for individuals who identify as female, building upon their current skill sets, making them a competitive candidate for a range of jobs in Machine Learning.

Despite the opportunities that MLAI can offer, there are also repercussions that need to be considered. Bias in data, privacy and how the technology will be used and important factors. Moreover the creations need to reflect the users who will benefit from it. With all this in mind it is crucial that more people who identify as females become involved in the industry.

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

 
 

Program  Structure

Python Office Hours

Dates: Various before 5th september

Location: VIrtual & Silverpond, Melbourne CDB

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. 

The Python “Open Hours” will be hosted at the Silverpond office, with the option able to engage remotely online. Efforts will be made to accommodate women with inflexible schedules or other considerations such as child care.

 

Deep Learning Workshop

Dates: 5th & 6th September

Location: Zendesk, Melbourne CDB

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

 

Careers Consulting

Dates: After 30th August

Location: Virtual and Melbourne CDB

To help you take your new skills to a new career, role or promotion we have

organised consultation with a careers professional. 

 
 

Who Should Apply?

Women with a background in IT, data science or software engineering, who would otherwise be unable attend the program due to financial, caring, location or alike considerations

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 capture those women.

 

Our Sponsors and Partners 

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