KDnuggets™ News 20:n42, Nov 4: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis
Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.
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What can Data Scientists learn from the 2020 US Presidential Election? The outcome is still undecided, but it seems that the polls in several swing states have overestimated democratic vote, as they did in 2016. Precise prediction of human behavior is difficult, and small errors (eg 48% instead of 52%) that are acceptable in consumer analytics take on the outsize importance, when predicting election results in a swing state. Keep such possibilities in mind, examine prediction assumptions, and try to use different data sources to reduce error. GP
Features
- Top Python Libraries for Data Science, Data Visualization & Machine Learning
- Mastering Time Series Analysis with Help From the Experts
- Explaining the Explainable AI: A 2-Stage Approach
- The Missing Teams For Data Scientists
- Data scientist or machine learning engineer? Which is a better career option?
News
- Seven Steps for Migrating Sensitive Data to the Cloud: A Guide for Data Teams
- Exploring the Significance of Machine Learning for Algorithmic Trading with Stefan Jansen
Tutorials, Overviews
- 10 Principles of Practical Statistical Reasoning
- Topic Modeling with BERT
- Microsoft and Google Open Sourced These Frameworks Based on Their Work Scaling Deep Learning Training
- How to Make Sense of the Reinforcement Learning Agents?
- Building Neural Networks with PyTorch in Google Colab
- Dealing with Imbalanced Data in Machine Learning
- An Introduction to AI, updated
- Stop Running Jupyter Notebooks From Your Command Line
Opinions
- When good data analyses fail to deliver the results you expect
- Overcoming the Racial Bias in AI
- You Don't Have to Use Docker Anymore
Top Stories, Tweets
- Top Stories, Oct 26 - Nov 1: How to become a Data Scientist: a step-by-step guide; PerceptiLabs — A GUI and Visual API for TensorFlow
- Top KDnuggets tweets, Oct 21-27: #MachineLearning can recover lost languages
Jobs
- See our recent jobs in AI, Analytics, Data Science, Machine Learning
- You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email - see details at kdnuggets.com/jobs
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Top Python Libraries for Data Science, Data Visualization, Machine Learning;