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Every Beginner should focus on these Machine Learning books
- Two new chapters on deep belief networks and Gaussian processes
- Reorganization of the chapters to make a more natural flow of content
- Revision of the support vector machine material, including a simple implementation for experiments
- New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron
- Additional discussions of the Kalman and particle filters
- Improved code, including better use of naming conventions in Python
- What does Machine Learning mean Machine Learning And Artificial Intelligence Some of the branches of Artificial Intelligence Decision trees in relation to Machine Learning What Python is and how to get started with it What input and output mean in Python The way that Python evolved throughout time
- After reading this book, you will be able to write simple codes using Python. You will also know the direction that you should go after you have surpassed the beginner level of Python.
- The second edition of the bestselling book on Machine Learning
- A practical approach to key frameworks in data science, machine learning, and deep learning
- Use the most powerful Python libraries to implement machine learning and deep learning
- Get to know the best practices to improve and optimize your machine learning systems and algorithms