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IBM数据科学专业证书课程4:《Python应用于数据科学、人工智能和开发》python-for-applied-data-science-ai(中英字幕)共计24条视频,包括:0_类型.zh_en、1_表达式和变量.zh_en、2_字符串操作.zh_en等,UP主更多精彩视频,请关注UP账号。
> Course 4: Python for Data Science 这门是Python基础,配有很多Lab课演示代码。最后的大作业是使用pandas library导入并查看数据,以及通过自定义function建一个dashboard,看似复杂,但大部分的代码其实老师都写好了,基本只要根据instruction填填空就行了,比较简单... 画出这个图还不算完事,最后IBM还硬要来炫个技...
Skills Network Labs provides an integrated environment to --learn and try various, popular data science tools; use tools such as Python and Scala; use tools such as R and Spark; save your time without needing to install and configure these tools Zeppelin and Jupyter Notebooks are great for -...
•Doctorate or Master degree in AI, Computer science, Mathematics, mathematical Statistics or related majors.•Strong business acumen, analytical thinking, consultative selling experience.•Hands on project skill on Python, PyTorch, TensorFlow, Jupyter•Fluent in English and Chinese both oral and ...
A data science programming language such as R or Python includes components for generating visualizations; alternately, data scientists can use dedicated visualization tools. Industry newsletter The latest tech news, backed by expert insights Stay up to date on the most important—and intriguing—...
visualizations that make the insights and their impact on business easier for business analysts and other decision-makers to understand. A data science programming language such as R or Python includes components for generating visualizations; alternately, data scientists can use dedicated visualization ...
The shared libraries can then be integrated into C, C++, Java, or Python applications. The compiled models take advantage of IBM Z technologies including SIMD on IBM z13® and later and the Integrated Accelerator for AI available on IBM z16™ without changes to the original model. 6 ...
Choose Your Programming Language:Select a language you are comfortable with and one that is commonly used in this IBM code assessment, such as Python, Java, C++, or JavaScript. Study Algorithms and Data Structures Algorithms: Understand sorting, searching, and graph algorithms, to solve the IBM ...
Python 机器学习算法/工程化经验 工作职责: 1、通过数据挖掘和机器学习技术,对业务数据进行大规模特征提取和分析挖掘,设计并建立各应用场景相关的业务特征体系; 2、能独立搭建常见机器学习算法模型(如逻辑回归、SVM、神经网络、lightGBM、蚁群算法等); 3、深入分析并理解不同的业务场景,并且能将算法模型落地,解决实际业...