Showing results for "Learning with Technologies and Technologies in Learning" in Money & Finance

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Longlisted for the Financial Times Business Book of the Year The "rich and gripping" true story of the first time machines came for human jobs—and how the Luddite uprising explains the power, threat, and toll of big tech and AI today (Naomi Klein) The most urgent story in modern tech begins...

This podcast is built for decision makers at midmarket companies who want to maximize the value of Microsoft 365, Teams, SharePoint, and Dynamics. Hosted by the experts at VisualSP, each episode explores how Just-in-Time Learning, the practice of delivering help and training exactly when users need it, can accelerate digital adoption, improve user productivity, and support long-term digital transformation goals.What you'll learn:💡 In-Context Training Strategies Learn how to deliver on-screen guidance directly within Microsoft tools to reduce user confusion and lower support requests.📈 ...

Data science is reshaping the world by unravelling valuable insights from vast datasets. Its significance lies in the ability to extract meaningful patterns, aiding decision-making across diverse sectors. From healthcare to finance, data science empowers organizations to optimize processes, enhance efficiency, and uncover previously unseen opportunities.

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.