Automated Machine Learning in Action

Price: $59.99 – $37.20
(as of Dec 26,2024 21:47:48 UTC – Details)

Publisher ‏ : ‎ Manning (June 7, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 336 pages
ISBN-10 ‏ : ‎ 1617298050
ISBN-13 ‏ : ‎ 978-1617298059
Item Weight ‏ : ‎ 1.12 pounds
Dimensions ‏ : ‎ 7.38 x 0.9 x 9.25 inches

Automated Machine Learning in Action: Revolutionizing the Data Science Landscape

In recent years, the field of data science has seen a major transformation with the introduction of Automated Machine Learning (AutoML) tools and platforms. These innovative technologies have made it easier and faster for organizations to build and deploy machine learning models, even without a deep understanding of the underlying algorithms and techniques.

One of the key benefits of AutoML is its ability to democratize data science by allowing non-experts to leverage machine learning for their business needs. By automating various aspects of the model building process, such as feature engineering, model selection, and hyperparameter tuning, AutoML platforms enable users to quickly prototype and deploy models without requiring a high level of technical expertise.

But how does Automated Machine Learning actually work in practice? Let’s consider a real-world example:

Imagine a marketing team at a retail company that wants to build a model to predict customer churn based on various customer attributes and purchase history. With AutoML, the team can simply upload their dataset to a platform like Google Cloud AutoML or H2O.ai, select the target variable (churn), and let the platform handle the rest.

The AutoML platform will automatically preprocess the data, generate new features, select the best algorithm for the task, and optimize the model’s hyperparameters to achieve the highest possible accuracy. The marketing team can then evaluate the performance of the model and deploy it into production with just a few clicks.

Overall, Automated Machine Learning is revolutionizing the data science landscape by making it easier, faster, and more accessible for organizations to leverage the power of machine learning. As more businesses embrace AutoML technologies, we can expect to see a wave of new applications and innovations that were previously out of reach for non-experts. So, if you’re looking to supercharge your data science projects, consider giving Automated Machine Learning a try – the possibilities are endless!
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