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<p>By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.</p>

<p>By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<h3 style="text-decoration:none;">[https://ised-isde.canada.ca/site/public-opinion-research/en/views-canadians-artificial-intelligence-final-report Views of Canadians on Artificial Intelligence: Final Report]</h3>

<h3 style="text-decoration:none;">[https://ised-isde.canada.ca/site/public-opinion-research/en/views-canadians-artificial-intelligence-final-report Views of Canadians on Artificial Intelligence: Final Report]</h3>

<p>This study was designed to gather current public opinion on the public perception of AI in Canada. The research will be used to support the AI Advisory Council's mandate which is to advise the Government of Canada on how "best to build on Canada's AI strengths, identify opportunities to create economic growth that benefits all Canadians and ensure that AI advancements reflect Canadian values". To establish an evidence-based standard of the current public perception of AI and its development, with the goal of better grounding the Canadian discourse in a measured understanding of the technology, its potential uses, and its associated risks.</p>

<p>This study was designed to gather current public opinion on the public perception of AI in Canada. The research will be used to support the AI Advisory Council's mandate which is to advise the Government of Canada on how "best to build on Canada's AI strengths, identify opportunities to create economic growth that benefits all Canadians and ensure that AI advancements reflect Canadian values". To establish an evidence-based standard of the current public perception of AI and its development, with the goal of better grounding the Canadian discourse in a measured understanding of the technology, its potential uses, and its associated risks.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

[[Image:Intro-to-data-science.jpg|150px|Introduction to data science]]

[[Image:Intro-to-data-science.jpg|150px|Introduction to data science]]