作为IBM CongnitiveClass“使用Python的应用数据科学”学习路径的一部分,我所做的所有工作。 证明书 适用于数据科学的Python 101 使用Python进行数据分析 使用Python进行数据可视化 使用的Python软件包 1-科学计算库: 熊猫(数据结构和工具) Numpy(数组和矩阵) Scipy(积分,求解微分方程,优化) 2-可视化库: Matplotlib(...
# run on multiple machines and their cores import ray ray.init(ignore_reinit_error=True) @ray.remote def get_filename(datapoint): return datapoint['filename'].split('/')[-1] result = [] for datapoint in dataset: result.append(get_filename.remote(datapoint)) Scikit-learn,我们之前安...
Awesome Data Science with Python A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks. Core pandas - Data structures built on top of numpy. scikit-learn - Core ML library, ...
AI may be able to advance science and find solutions for serious problems: Demis Hassabis of Deep Mind hopes to \"solve intelligence, and then use that to solve everything else\".[148] However, as the use of AI has become widespread, several unintended consequences and risks have been ...
Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6. 7 customer reviews. Top rated Data products.
interpretability of data-driven models can be found in the context of digital contact tracing for ...
PythonFixing contains a large number of fixes for Python, Django, Flask, Tensorflow, Selenium, PyQT and other Python related issues. Daily Updated!
After taking this class, you’ll be prepared to take Data Science and AI for Python Programmers, which introduces today’s most compelling, leading-edge data science, AI and big data computing technologies, including Natural Language Processing, Data Mining Twitter®, IBM Watson® and Cognitive...
You will explore tools designed by IBM, Google, Microsoft, and other advanced AI research labs.You will be introduced to several open source explainable AI tools for Python that can be used throughout the machine learning project lifecycle. You will learn how to explore machine learning model ...
in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day,...