Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. pythonawsdata-sciencemachine-learningcaffetheanobig-datasparkdeep-...
He has over a decade of experience in machine learning and AI working across diverse projects in companies that range in size from start-ups to Fortune 500 companies. With an MBA from Babson College and a master’s in applied data science from the University of Michigan, he has developed ...
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
javascriptdata-sciencemachine-learningscikit-learnmachine-learning-algorithmsmljavascript-librarykagglemachine-learning-librarydata-scientistsautomlnumeraiautomated-machine-learningauto-ml UpdatedAug 29, 2016 Python 👨🏽🏫You can learn about what data science is and why it's important in today's mod...
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起这个题目琢磨了挺长的时间,因为最近正值校招,关于Kaggle的这个问题又热烈的讨论起来,Kaggle一开始由个人爱好者发起到被Google收购成为全球最大的数据科学竞赛平台。很多人把它当成入门机器学习深度学的工具。那么Kaggle到底有什么价值,对于Kaggle的那些傲慢与偏见到底是怎样的呢?我们从更广义的角度看一下数据科学竞赛到底...
GitHubis a good alternative to Kaggle. There are 40 million developers, which includes software engineers and data scientists, on GitHub and a large number of open source projects. For people with an interest in data science,Metishas part-time introduction courses as well as onsite and online ...
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.