Search result for Algorithm analysis and design Online Courses & Certifications
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Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business....
Logging, Monitoring and Observability in Google Cloud
by Google Cloud Training- 4.8
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Approx. 17 hours to complete
This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Welcome and Getting Started Guide! Developing SLOs and SLIs Lab Intro: Developing SLOs and SLIs Getting Started with Google Cloud Platform and Qwiklabs Lab Intro: Monitoring and Dashboarding Multiple Projects from a Single Workspace Advanced Logging and Analysis...
Introduction to Acoustics (Part 2)
by Yang-Hann Kim- 4.7
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Approx. 13 hours to complete
’ Now it is time to apply to the real situation and develop their own acoustical application. Learners will analyze the radiation, scattering, and diffraction phenomenon with the Kirchhoff –Helmholtz Equation. Then learners will design their own reverberation room or ducts that fulfill the condition they have set up. REVERBERATION PERIOD AND ITS DESIGN APPLICATION...
Spatial Data Analysis with Earth Engine Python API
by Alemayehu Midekisa- 3.3
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2.5 hours on-demand video
Learn machine learning, big data analysis, GIS, remote sensing with Earth Engine Python API and Jupyter Notebook Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook? In this Spatial Data Analysis with Earth Engine Python API course, I will help you get up and running on the Earth Engine Python API and Jupyter Notebook....
$9.99
Learn to Teach Java: Writing Classes and Arrays
by Beth Simon- 0.0
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Approx. 13 hours to complete
Learn to program using Class design and 1-D Arrays in Java, and prepare to teach others using the free, online interactive CS Awesome textbook. We'll cover the critical Java concepts of class design and 1-dimensional arrays, as covered in the APCS A Units 5 and 6. Comments and Conditions Static Variables and Methods...
算法设计与分析 Design and Analysis of Algorithms
by Wanling Qu- 4.7
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Approx. 25 hours to complete
课程教学目标 针对实际问题需求，进行数学建模并选择高效求解算法的训练，为提高学生的素质和创新能力打下必要的基础。主要内容涉及：面对实际问题建立数学模型、设计正确的求解算法、算法的效率估计、改进算法的途径、问题计算复杂度的估计、难解问题的确定和应对策略等等。本课程是算法课程的基础部分，主要涉及算法的设计、分析与改进途径，其他有关计算复杂性的内容将在后续课程中加以介绍。 课程内容安排 本课程的内容分成两大部分：算法的基础知识、通用算法设计技术与分析方法。 第一部分是算法基础知识，约占20%，主要介绍算法相关的基本概念和数学基础。比如，什么是算法的伪码描述？什么是算法最坏情况下和平均情况下的时间复杂度？算法时间复杂度函数的主要性质，算法复杂度估计中常用的数学方法，如序列求和及递推方程求解。 第二部分是通用的算法设计技术与分析方法，主要介绍分治策略、动态规划、贪心法、回溯与分支限界。主要介绍这些设计技术的使用条件、分析方法、改进途径，并给出一些重要的应用。 算法基础 001本周教学内容简介 002算法设计的两个例子 003问题的计算复杂度：排序问题 004货郎问题与计算复杂性 005算法及其时间复杂度 006算法的伪码表示 007函数的渐近的界 008有关函数渐近的界的定理 009几类重要的函数 第一周作业 序列求和与递推方程 010本周教学内容简介 011序列求和的方法 012递推方程与算法分析 013迭代法求解递推方程 014差消法求解递推方程 015递归树 016主定理及其证明 017主定理的应用 第二周作业 分治算法的设计与分析 018本周教学内容简介 019分治策略的设计思想 020分治算法的一般描述和分析方法 021芯片测试 022快速排序 023幂乘算法及应用 024改进分治算法的途径1：减少子问题数 025改进分治算法的途径2：增加预处理 第三周作业 分治算法的典型应用 026本周教学内容简介（01:19） 027选最大与选最小 028选第二大 029一般选择问题的算法设计 030一般选择问题的算法分析 031卷积及应用 032卷积计算 033快速傅立叶变换FFT算法 034平面点集的凸包 第四周作业 动态规划算法 035本周教学内容简介 036动态规划算法的例子...
Data – What It Is, What We Can Do With It
by Jennifer Bachner, PhD- 4.5
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Approx. 11 hours to complete
This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations....
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Web Design: Wireframes to Prototypes
by Roman Jaster- 4.9
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Approx. 41 hours to complete
- Responsive web design and mobile web challenges It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX. About CalArts and the Program in Graphic Design Instructor Presence and Staff Support...
Materials Science: 10 Things Every Engineer Should Know
by James Shackelford- 4.7
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Approx. 9 hours to complete
We explore “10 things” that range from the menu of materials available to engineers in their profession to the many mechanical and electrical properties of materials important to their use in various engineering fields. Crystallography and the Electron Microscope Fracture Toughness and the Design Plot Critical Flaw Size and the Design Plot...
Quantitative Marketing Research
by Prithwiraj Mukherjee- 0.0
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5 Weeks
Learn how to design a quantitative market research project, and implement specific methods, interpret data and come up with marketing decisions. The participant is introduced to the design, implementation and interpretation of quantitative market research projects. Value and willingness-to-pay Elements of quantitative survey design Segmentation using cluster analysis...
$149
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