In contrast, a Calculation section represents a practical development from a theoretical basis. Results Results should be clear and concise. Discussion This should explore the significance of the results of the work, not repeat them. A combined Results and Discussion section is often appropriate. ...
The Natural quiet areas—would lead to the smallest S A S I and other marine mammals from being hurt Resources ense Council and other groups practical amount of harm. The district court S C : by low-frequency sonar, a federal eals sued, charging that NMFS had not followed will now ...
Faraday’s famous advice to scientists is still valid: ‘Work. Finish. Publish.’ This wise and practical book explains the often-neglected third point, writing scientific papers and giving clear talks. Every working scientist should read it.”...
Book contents Chapter contents Front Matter Copyright Contents List of contributors Chapter 1. Introduction Chapter 2. Radio propagation modeling methods and tools Chapter 3. IRACON channel measurements and models Chapter 4. Over-the-Air testing Chapter 5. Coding and processing for advanced wireless ...
Practical Python for AI Coding 1 from Korea Advanced Institute of Science and Technology Debugging: Hunting and Squashing Bugs from University of Michigan Intro to AR/VR/MR/XR: Technologies, Applications & Issues from University of Michigan Introduction to Parallel Programming with CUDA from Johns Ho...
Dr Yong Liu’s book “Practical Deep Learning at Scale with MLFlow” is the best guide available to navigating this new and complex landscape. While much of it is focused on the MLFlow toolkit from Databricks, it is also a guide to concepts that motivate the MLFlow software. This is ...
Most of the machine learning models are built on the assumption of a static learning environment, but in practical situations, the data generated by the process is dynamic. This evolution of the data is termed concept drift. This research paper presents an approach for predicting mechanical ...
Practical Deep Learning for Coders Mathematics for Machine Learning Linear Algebra for Computer Vision, Robotics, and Machine Learning by Jean Gallier and Jocelyn Quaintance [pdf] Mathematical Analysis of Machine Learning Algorithms by Tong Zhang Mathematical Foundations of Machine Learning by Robert Now...
in particular its resources and specialized advantages, from the following five aspects: • Infrastructure • Government policies and services • Business environment • Human resources • Living environment This report aims to provide a practical reference for your business investment and operations...
highlight moral education based on Confucian values. According to McBeath et al. (2014) and Li and Eilks (2021), Chinese science education research with a focus on sustainability is still at its initial stage. Main foci are introducing teaching strategies and different approaches to practical wo...