How NLP document similarity algorithms can be used to find similar documents and build document recommendation systems. Let us imagine that you are reading a document, and would like to find which other documents in a database are most similar to it.
How can natural language processing and data science help non-profits (charities) such as the White Ribbon Alliance analyse survey data and share it with the world?
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Is AI going to be a jobs killer? How many jobs will be lost to AI? What jobs will AI create?
What are the key stages in a data science project? A recipe for a successful data science project flow. The naive view of a data science project’s stages When planning a data science project, it’s easy to think of it as a simple exercise in a little bit of data cleaning, some data science work, and a deployment stage at the end of the project.
What is unsupervised learning? When we think about acquiring a skill or learning a new subject, most of us see that process involving a teacher passing their knowledge on to us.
Can we get rid of AI bias? Bias is one of the many imperfections of humanity that causes us to make mistakes and holds us back from growing and innovating.
How do we apply ethics to artificial intelligence? Why do we now need AI ethics? What is AI ethics? The ever-expanding availability of big data and cloud computing, improved computing power, and recent developments in deep learning algorithms have paved the way for machine learning algorithms to transform nearly every industry.
Explainable AI, or XAI, refers to a collection of ways we can analyse machine learning models. It is the opposite of the so-called ‘black box’, a machine learning model whose decisions can’t be understood or explained.
Technical Due Diligence on companies with AI products and technologies Are you thinking about making an investment in a startup that allegedly uses AI or machine learning and would like a completely impartial assessment of their actual AI technology or products?
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