"Courage is not the absence of fear, but rather the judgment that something else is more important than fear. The brave may not live forever, but the cautious do not live at all" – Philippe Renaldi, The Princess Diaries (2001) Yes, it is always easier to apply advanced technologies such as Big Data, AI / ML, and Edge Analytics to optimize an existing process. But what if that process is out-of-date, or worse yet, wrong. Is your organization applying AI / ML to accelerate your organization's race to irrelevance? Here is a damning example of what can go wrong when an organization focuses on optimizing an existing flawed process.

Are you a data scientist or machine learning engineer interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this live online course is for you! AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University. This offer is exclusively for corporate and government practitioners. All students completing the course receive a certificate, limited edition shirt, and access to the Slack community.

Everyone loves Artificial Intelligence (AI) and data science (DS), and it's probably not going to change for the next decade or so. Still, most people only have a general idea of what data science is and what machine learning algorithms or AI can do. This is quite normal and a common phenomenon for all fields of expertise. Think about it: do you really know what DevOps, Support or NOC (Network Operation Center) actually do? Sure, as tech professionals we can probably explain it better than people who aren't part of the industry, but in most cases it's pretty hard to really understand what other people are doing if you've never done it yourself.

Using artificial intelligence (AI) to enhance teaching and learning has been a kind of nirvana for education leaders for several years now – a place of perhaps unimagined power that has perpetually seemed just out of grasp. And though it may feel as if it's always just around the next corner, forever one tool or dataset away, one entrepreneur says we're getting closer. In fact, he says we may be close enough to say we've actually arrived at the place where AI products and systems are already showing the return they've promised for so long – personalizing learning for students, yielding rich and actionable data, simplifying teaching practices and, best of all, improving learning outcomes. That positive assessment comes from Ramesh Balan, the founder and CEO of Knomadix – the buzz-worthy AI education company he launched in 2015. And Balan may be worth listening to.

We aren't saying that the massacre didn't happen in Texas and in no way would ever be able to write words that would ease the pain of those parents and family members of the slain children in the Texas Massacre. What is wrong with the narrative is something you probably hadn't heard yet despite the relentless media coverage of the massacre. What would you think If you learned that the school district that the shooting occurred in had Artificial Intelligence Software, that is sold commercially, that is meant to monitor social media for threats of violence against schools and the students. That is exactly what was in place in Uvalde, Texas when the shooting occurred. Worse yet, the software company lists threats of school shootings as one of the features the artificial intelligence is designed to catch before a mass shooting has occurred. In theory, the software catches these threats and reports them to law enforcement so they can respond in time to prevent the tragedy or at least help save as many lives as possible.

Clearview AI, the surveillance firm notoriously known for harvesting some 20 billion face scans off of public social media searches, said it may bring its technology to schools and other private businesses. In an interview with Reuters on Tuesday, the company revealed it's working with a U.S. company selling visitor management systems to schools. That reveal came around the same time as a horrific shooting at Robb Elementary School in Uvalde, Texas that tragically left 19 children and two teachers dead. Though Clearview wouldn't provide more details about the education-linked companies to Gizmodo, other facial recognition competitors have spent years trying to bring the tech to schools with varying levels of success and pushback. New York state even moved to ban facial recognition in schools two years ago.

Within the next decade, the world will see a major disruption of the workforce due to advances in artificial intelligence (AI) technology. According to a McKinsey Global Institute report, 375 million workers, or about 14 percent of the global workforce, may be required to shift occupations as digitization, automation, and AI technologies start to take over the workspace. In a separate 2018 report by the Organization for Economic Cooperation and Development (OECD), half of the global workforce is expected to be impacted one way or another by machine-learning technologies. AI technology will be at the forefront of the Fourth Industrial Revolution, and it will prove to be a far greater challenge than the ones that preceded it. If the world does not prepare, robots and technology could cause mass unemployment.

This book was designed around major building blocks of the Python ecosystem that are useful to machine learning projects. There are a lot of things you could learn about Python, from language mechanics to the various libraries. Our goal is to take you straight to developing an intuition for the elements you can use in Python projects with laser-focused tutorials. We designed the tutorials to focus on how to get things done with Python. They give you the tools to both rapidly understand and apply each technique or operation. Each tutorial is designed to take you about one hour to read through and complete, excluding the extensions and further reading. You can choose to work through the lessons one per day, one per week, or at your own pace. I think momentum is critically important, and this book is intended to be read and used, not to sit idle. I would recommend picking a schedule and sticking to it.

In the IT industry, machine learning is the cool kid and is favoured by almost every industry out there. Artificial intelligence (AI) has improved the user experience and added value across numerous industries by allowing our programmes to see, hear and reply. Better personalisation, smarter recommendations, and improved search functionality are all things we'd want to see. They employ machine learning to improve the speed and range of their spacecraft. It was also befriended by Uber, Tesla, and Google to name a few popular companies.

Another month, another flood of weird, wonderful and cute images generated by an artificial intelligence. In April, OpenAI showed off its new picture-making neural network, DALL-E 2, which could produce remarkable high-res images of almost anything it was asked to. Now, just a few weeks later, Google Brain has revealed its own image-making AI, called Imagen. And it performs even better than DALL-E 2: it scores higher on a standard measure for rating the quality of computer-generated images and the pictures it produced were preferred by a group of human judges. But like OpenAI did with DALL-E, Google is going all in on cuteness.