Methods and Applications of Autonomous Experimentation
Pay over time for orders over $35.00 with
Offers & Perks
Earn 109 points with this purchase
Added to your rewards balance after checkout.
100 points welcome bonus
Create an account and start with extra points.
Illustrating theoretical foundations and incorporating practitioners' first-hand experience, book is a practical guide to successful Autonomous Experimentation.
Marcus M. Noack received his Ph.D. in applied mathematics from Oslo University, Norway. At Lawrence Berkeley National Laboratory, he is working on stochastic function approximation, optimization and uncertainty quantification, applied to Autonomous Experimentation.
Daniela Ushizima, Ph.D. in physics from the University of Sao Paulo, Brazil after majoring in computer science, has been associated with Lawrence Berkeley National Laboratory since 2007, where she investigates machine learning algorithms applied to image processing. Her primary focus has been on developing computer vision software to automate scientific data analysis.
Contributor(s)
Free shipping on orders over $75. Standard shipping takes 3-7 business days. Returns accepted within 30 days of purchase.