Train Machine Learning Models

Sarah Haq, currently serving as a Data Engineer at Artsy and Mentor at Women in AI Academy, has established herself as a prominent advocate for women in data science while maintaining an impressive career in technical innovation. Her expertise in building and monitoring Machine Learning models, combined with her role as a Subject Expert Contributor for the Certified Data Science Practitioner 110 Exam and program author at CertNexus, demonstrates her comprehensive understanding of the field. Beyond her technical contributions, Haq is particularly recognized for her passionate advocacy in generating interest in Data Science among girls and women, regularly sharing her knowledge and enthusiasm across social platforms to inspire the next generation of female data scientists.

Stacey McBrine brings over three decades of comprehensive expertise in systems analysis, security, and network architecture to the technology education landscape. His illustrious career spans from developing software solutions in assembly language and Oracle to providing crucial consulting services for business process automation and security. As an accomplished author and technical editor, McBrine has shared his knowledge through two published books and served on the Information and Communications Technology Council's Cyber Security Advisory Committee. Since 1999, he has been transforming classroom education with his practical approach to security, AI, and IoT technologies, earning prestigious recognitions including the CompTIA outstanding TTT Instructor award (2018) and Cisco Routing & Switching Instructor Excellence Award (2020). His exceptional credentials include authorizations from ISC2, Cisco, Logical Operations, CompTIA, and EC-Council, complemented by an impressive array of certifications including CISSP, CCNA, CAIP, and numerous others, making him one of the earliest MCSE certification holders for Windows 2000.