AI is a branch of computer science that deals with the creation of intelligent machines.
Artificial intelligence can be described as the science and engineering of making intelligent machines, especially intelligent computer programs. The field was founded on the claim that a central property of humans, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.
AI has been around for decades but it’s only recently been in the spotlight due to its potential to disrupt many industries. It has many use cases such as self-driving cars, chatbots, and content writers.
🤖📚🧐 Are you curious about how technology is changing the way we learn and teach? Data science and AI are not only transforming various industries, but also the education sector! Here are some of the ways in which data science and AI are being used to improve education: 👩 🏫 Personalized Read more…
🏀🏈🎾 The use of artificial intelligence (AI) in sports has increased significantly in recent years, and it’s changing the way we think about and approach athletics. Here are some reasons why: 📈 Performance analysis: AI-powered tools can analyze massive amounts of data to provide athletes and coaches with insights that can help Read more…
To become a successful data scientist, you need to possess a range of technical and non-technical skills. In this edition i’ll be covering this topic. Additionally, further down you can also find a podcast and report on ChatGPT as well as an article on how AI can help decrease diversity Read more…
With the rapid advancement of artificial intelligence (AI) technology, many businesses are turning to AI to increase their efficiency and productivity. McKinsey’s report on the state of AI for 2022 provides valuable insights into how AI will shape industries in the coming years. What are the key lessons? AI is Read more…
Sports analytics is a field I feel particularly close to. My PhD was in sports analytics and it had been funded by Tottenham Hotspur FC. I have also released courses on sports analytics. It is one of the areas of application of machine learning that can be so disruptive. Sports analytics is an emerging Read more…
In the era of fast-rising interest in big data, data analysis and artificial intelligence, football stakeholders are also looking to machine learning to enhance the success of football throw-ins. Implementing the best analytical strategy on football data not only improves players’ performance but can also save costs for club investors. Read more…
Developing a data strategy according to your business needs is crucial for long-term success. The pragmatic data strategy has shown positive results and taken businesses to the next level. It focuses on reducing the risk of data misuse, creating more reliable data foundations, and enabling new ideas. Here are five Read more…
The amount of data generated by businesses has exploded in recent years. Many opportunities await companies to improve innovation, customer satisfaction, and operations with the help of data analytics. A shift toward a data-driven culture in your organization will help you make better strategic decisions and achieve your business goals. Read more…
Deep learning is one of the favourite themes of this blog. It is the most important and powerful tool in machine learning. It’s responsible for many of the biggest breakthroughs in AI, like facial recognition, language translation, or self-driving cars. The idea behind deep learning is to make it easier Read more…
Facebook, the company known for some of the most popular social media platforms, has recently changed its name to Meta. It is known as the next-gen technology that will change how people interact online. The future of the internet is not just about the increase in internet connectivity, but also Read more…
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