By Kirill Eremenko – 8 min read.
We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. Some of the most common frustrations were: not knowing where to begin, a lack of experience, an inability to form networks and difficulties in contacting the right people.
A Data Science Workflow
By Aakash Tandel – 13 min read.
There is no template for solving a data science problem. The roadmap changes with every new dataset and new problem. But we do see similar steps in many different projects.
The 10 Statistical Techniques Data Scientists Need to Master
By James Le – 15 min read.
Regardless of where you stand on the matter of Data Science sexiness, it’s simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it.
A beginner introduction to TensorFlow (Part-1)
By Narasimha Prasanna HN – 7 min read.
Tensorflow is one of the widely used libraries for implementing Machine learning and other algorithms involving large number of mathematical operations.
Establishing a culture of Analytics
By George Krasadakis – 7 min read.
Data availability in the ‘era of Big Data’ has increased dramatically. Companies typically accumulate large volumes of complex data, describing an increasing range of business activities.
Machine Learning Meets Fashion
By Yufeng G – 5 min read.
In this episode of AI Adventures, we will attempt to go through an entire machine learning workflow into one, pulling best practices from our previous episodes. It’s a lot of material, but I think we can do it!
