Machine learning and deep learning have become an important part of many applications we use every day.
There are few domains that the fast expansion ofmachine learninghasnt touched.
Many businesses have thrived by developing the right strategy to integrate machine learning algorithms into their operations and processes.
Others have lost ground to competitors after ignoring the undeniable advances in artificial intelligence.
But mastering machine learning is a difficult process.
Naturally, not everyone needs to become a machine learning engineer.
In this regard, a very valuable and often-overlooked tool is Microsoft Excel.
It’s free, every week, in your inbox.
But in reality, Excel is a powerful computation tool that can solve complicated problems.
Excel also has many features that allow you to create machine learning models directly into your workbooks.
Linear regression is especially useful when your data is neatly arranged in tabular format.
Excel has several features that enable you to create regression models from tabular data in your spreadsheets.
One of the most intuitive is the data chart tool, which is a powerful data visualization feature.
For instance, the scatter plot chart displays the values of your data on a cartesian plane.
The feature, called Trendline, creates a regression model from your data.
you might add several trendlines to the same chart.
This makes it easy to quickly test and compare the performance of different machine learning models on your data.
Excels Trendline feature can create regression models from your data.
When doing k-means clustering on Excel, you could follow the refinement of your clusters on consecutive sheets.
In many of the books chapters, youll use the Solver tool to minimize your loss function.
Theres a chapter that delves into the meticulous creation ofdeep learning models.
First, youll create a single layerartificial neural networkwith less than a dozen parameters.
Then youll expand on the concept to create a deep learning model with hidden layers.
Deep learning with Microsoft Excel gives you a view under the hood of how deep neural networks operate.
Beyond learning the basics, Excel can be a powerful addition to your repertoire of machine learning tools.
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