KDnuggets™ News 21:n06, Feb 10: The Best Data Science Project to Have in Your Portfolio; Deep learning doesn’t need to be a black box
The Best Data Science Project to Have in Your Portfolio; Deep learning doesn’t need to be a black box; Build Your First Data Science Application; How to create stunning visualizations using python from scratch; How to Get Your First Job in Data Science without Any Work Experience
This week on KDnuggets: The Best Data Science Project to Have in Your Portfolio; Deep learning doesn’t need to be a black box; Build Your First Data Science Application; How to create stunning visualizations using python from scratch; How to Get Your First Job in Data Science without Any Work Experience; and much, much more.
Features
- The Best Data Science Project to Have in Your Portfolio
- Deep learning doesn’t need to be a black box
- Build Your First Data Science Application
How to create stunning visualizations using python from scratch
How to Get Your First Job in Data Science without Any Work Experience
Products, Services
Tutorials, Overviews
- How to Deploy a Flask API in Kubernetes and Connect it with Other Micro-services
- Adversarial Attacks on Explainable AI
- Microsoft Explores Three Key Mysteries of Ensemble Learning
- Essential Math for Data Science: Introduction to Matrices and the Matrix Product
- Backcasting: Building an Accurate Forecasting Model for Your Business
- Getting Started with 5 Essential Natural Language Processing Libraries
- Saving and loading models in TensorFlow — why it is important and how to do it
Opinions
- Who is fit to lead data science?
- How to Get Data Science Interviews: Finding Jobs, Reaching Gatekeepers, and Getting Referrals
- 2011: DanNet triggers deep CNN revolution
Top Stories
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
Image of the week
From How to Get Data Science Interviews: Finding Jobs, Reaching Gatekeepers, and Getting Referrals