BlueReads
Discover
Library
Browse
Advertisement
Search Results
Showing results for
"Math Optimization"
Improve Your Math Skills: Optimizing Your Approach To Addition And Subtraction
Collette Wendlandt
Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2)
Umesh Kumar Lilhore
Eighth-grade math - optimize learning winter vacation of 20 days (6th Edition)(Chinese Edition)
Bu Xiang
Maths and Stats for Web Analytics and Conversion Optimization
Himanshu Sharma
Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimization Techniques, and More (AI Fundamentals)
Andrew Hinton
Optimization in Function Spaces (Aurora: Dover Modern Math Originals)
Amol Sasane
Pricing Science: Go Beyond Guesswork for Big MSP Profits: Optimize Your Sweet Spot with Math, Not Myths
Elliot Luchansky
Optimization Model and Economics/ Wonderful Maths (Chinese Edition)
WEI QUAN LING
1 +1 lightweight championship Optimization Training: 3rd grade math (Vol.2) (Jiangsu Edition) (New Standard Edition) (Silver Edition superior version) (Spring 2013)(Chinese Edition)
Liu Qiang
1 + 1 optimized lightweight title Training: fifth grade math (Qingdao version fifty-four made silver version of the new version of the 2019 autumn)(Chinese Edition)
LIU QIANG BIAN
Seventh grade math (under Beijing Normal University. silver color version upgrade version) 1 + 1 lightweight championship optimization training(Chinese Edition)
Yi Ming
Lai Yun 2 optimization of volume: math exam in three years(Chinese Edition)
HE LIN
1 + 1 lightweight won optimization training: high school math (Required) (one to teach A version) (Silver Edition Excellent)
Liu Qiang
1 +1 lightweight win optimized training: 8th grade math (Vol.1) (Zhejiang teach Edition) (silver version of the excellent edition)
Liu Qiang
Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 (De Gruyter Proceedings in Mathematics)
Aswin Kannan
Math behind deep learning: Foundations of backpropagation loss functions and optimization
Anshuman Mishra
Math behind deep learning: Foundations of backpropagation loss functions and optimization
Anshuman Mishra