Machine learning is rapidly changing our world. Almost every day we read about how machine learning is changing our daily lives. If you purchase goods on e-commerce websites like Taobao or JD. Com, watch programs on video websites like iQiyi or Tencent Video, or even just conduct a Baidu search, you have already come across the application of machine learning. Users of these services will generate data, which will be collected and used to train models after preprocessing, and the models will use this data to provide a better user experience. In addition, there are currently many products or services that use machine learning technology and will soon become popular in our lives, such as driverless cars that can free our hands, smart smart home products, and considerate shopping guide robots, etc. It can be said that if you want to delve into the application development of machine learning, now is an ideal time.
The content of this book covers the necessary knowledge in machine learning fields such as supervised learning, unsupervised learning, model optimization, and natural language processing. The content structure pays great attention to the practicality and operability of knowledge. The whole book adopts a step-by-step teaching method from the shallower to the deeper, and completely follows and respects the cognitive rules of beginners' knowledge of machine learning. This book is suitable for readers who have a certain foundation in programming languages and algorithms.
Reader comments
The content is easy to understand and step-by-step, so you can easily understand it even if you don't have much foundation. The cases and practical applications in the book also allowed me to better understand the concepts of machine learning. As the book says, "Users who use these services will generate data, which will be collected and used to train models after preprocessing." I think that our daily online activities may become material for machine learning. This is really interesting! I can't wait to read on.
The content is easy to understand and step-by-step, so you can easily understand it even if you don't have much foundation. The cases and practical applications in the book also allowed me to better understand the concepts of machine learning. As the book says, "Users who use these services will generate data, which will be collected and used to train models after preprocessing." I think that our daily online activities may become material for machine learning. This is really interesting! I can't wait to read on.