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by Scott Harvey (Author)
Read for FREE with Kindle Unlimited! Python Machine Learning: Beginner's guide to get you started with Machine Learning and Deep Learning with Python Do you want to learn about Python Machine Learning? Data is the new oil and Machine Learning is a powerful concept and framework for making the best out of it. In this age of automation and intelligent systems, it is hardly a surprise that Machine Learning and Data Science are some of the top buzz words. The tremendous interest and renewed investments in the field of Data Science across industries, enterprises, and domains are clear indicators of its enormous potential. Intelligent systems and data-driven organizations are becoming a reality and the advancements in tools are techniques is only helping it expand further. With data being of paramount importance, there facing a shortage of data scientists. It's been coined "The sexiest job in the 21st Century" which makes it all the more worthwhile to try to build some valuable expertise in this domain. Practical Machine Learning with Python is a problem solver's guide to building real-world intelligent systems. It follows a comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code. This book helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. Using real-world case studies that leverage the popular Python Machine Learning ecosystem, this book is your perfect companion for learning the art and science of Machine Learning to become a successful practitioner. Here Is A Preview Of What You'll Learn...
- What does Machine Learning mean
- The way that Python evolved throughout time
- Model based Learning
- Data science & Deep learning
- Combining different models for ensemble learning
- What are artificial neural networks?
- The way that Python evolved throughout time
- Much, much more!
