Tag: ML

AI and Machine Learning (ML) courses have gained immense popularity among developers, but their usefulness often leaves developers feeling uncertain. STX Next conducted a research indicating that nearly a third of developers enrolled in such courses, making it the third most sought after training type. Even with such interest, the tools expected to be used in their Python programming experience fell below expectations, with only 6% believing it to be an available option. As the Python TechRadar study shows, AI and ML potential still exceed expectations as only 17% picked it for the language, leading to further exploration. To harness the potential of Python and other languages, STX Next CEO advises developers to invest in learning more of AI and ML.

This mini-book by Olivier Caelen and Marie-Alice Blete is an essential guide for Python coders. Offering all the necessary information about GPT-4 and ChatGPT with clear directions on how to apply it to software projects. Discover code examples, text generation, Q&A tools and more to craft powerful applications. All written in simple language for optimal understanding.

Parallel Domain has launched Reactor—a state-of-the-art synthetic data generation engine that uses advanced generative AI technologies and 3D simulation capabilities to create detailed, realistic, and diverse training datasets for ML developers. Reactor provides control and scalability to create varied synthetic data sets with natural language prompts, helping to optimize AI investments for success.

This article discusses the potential of AI in providing personalized healthcare, as well as sperm count decline and animal testing. ChatGPT is a chatbot built to assist with this, and MIT-Harvard philosopher Alexander Kuthan highlights the need to make sure AI is used ethically. Keep up with the latest developments in AI & healthcare!

Be part of the AWS DeepRacer Competition 2023 with Asia Pacific University of Technology and Innovation. Reinforcement Learning and Machine Learning intertwined with a physical track and driven by AWS to push participants to their limits in an exhilarating event. An unmissable opportunity for future data scientists and engineers to hone their skills. Grand Finale in the spotlight - the finalists were pushed to the best of their abilities.