How To Avoid College Debt and Still Be Successful as a Data Scientist
Particularly for careers in data science, traditional higher education is failing to adequately prepare students.
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Particularly for careers in data science, traditional higher education is failing to adequately prepare students.
Picture this: You’ve been working hard on a project at work. You’ve run several algorithms, tuned the necessary hyperparameters, performed cross validation and exhausted the checks required to ensure you’re not overfitting.
Python can empower Excel to perform data manipulation and analysis much more efficiently.
Advanced tips for using conda – from installing Python packages to building your own packages in R.
Let’s look at how Keras makes building a multilayer convolutional neural network (CNN) with TensorFlow significantly easier.
Spark Spark is one of the most popular open-source distributed computation engines and offers a scalable, flexible framework for processing huge amounts of data efficiently.
TDI has looked at tens of thousands of data scientist resumes and we want top share our recommendations on how you can craft the perfect resume to get hired.
Special thanks to Francesco Mosconi for contributing this post. Transitioning from Academia to Industry can be difficult for a number of reasons. You are learning a
If you’re an aspiring data scientist but still processing your data in Excel, you might want to upgrade your toolset. Why? Firstly, while advanced features