Many machine learning models tend to be black boxes, where explainability is very limited, which can make it difficult to understand why a model is not performing as expected. This is especially true with regard to how a model performs over time with new training data. The machine learning lifecycle begins with data warehousing, ETL pipelining, and model training. The next stages in the lifecycle: deployment, management, and operations. Machine learning deployment plays a critical part in ensuring a model performs well, both now and in the future, but it is also vitally important to understand model monitoring and model drift to that same endWe from BEPEC are ready to help you and make you shift your career at any costBook a free call consultation & Get customized Career Transition Roadmap: https://www.bepec.in/registration-formCheck our Instagram page: https://www.instagram.com/bepec_solutions/
Om Podcasten
"Career Mentor Insights with Kanth" is a podcast series hosted by Rajeev Kanth that focuses on career transition and development, particularly in Data Analytics, Data Science, Machine Learning, Data Engineering, Cloud Computing, AWS, Azure, DataBricks, SQL, Power BI, Tableau, Python Generative AI, Deep Learning, Computer Vision, LLMs, and Artificial Intelligence. The podcast covers various topics, including interview preparation, industry insights, and career path guidance, aimed at various individuals, including students, working professionals, and those re-entering the workforce.Kanth provides personalized guidance for career transitions, discussing suitable pathways based on individual backgrounds and challenges. The focus is on the strategic enhancement of resumes and interview preparation, especially for jobs in India, the USA, the UK, Canada, and the UAE.For more details and to listen to the podcast episodes, you can visit their pages on Apple Podcasts and Spotify.Connect with Host: www.instagram.com/meet_kanth/