Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch by AI Publishing
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Overview: 10 Machine Learning Projects Explained from Scratch
Machine Learning (ML) is the lifeblood of businesses worldwide. ML tools empower organizations to identify profitable opportunities fast and help them to understand potential risks better. The ever-expanding data, cost-effective data storage, and competitively priced powerful processing continue to drive the growth of ML.
This is the best time you could enter the exciting machine learning universe. Industries are reinventing themselves constantly by developing more advanced data analysis models. These models analyze larger and more complex data than ever while delivering instantaneous and more accurate results on enormous scales.
In this backdrop, it is evident that hands-on practice is everything in machine learning. Tons of theory will amount to nothing if you don’t have enough hands-on practice. Textbooks and online classes mislead you into a false sense of mastery. The easy availability of learning resources tricks you, and you become overconfident. But when you try to apply the theoretical concepts you learned, you realize it’s not that simple.
This is where projects play a crucial role in your learning journey. Projects are doubtless the best investment of your time. You’ll not only enjoy learning, but you’ll also make quick progress. And unlike studying boring theoretical concepts, you’ll find that working on projects is easier to stay motivated.
Genre: Non-Fiction > Tech & Devices
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