Bøger i Machine Learning & Data Science for Beginners serien

- Step-by-Step Guide with Hands-on Projects and Exercises

- Fundamentals and Practices with Python

- Theory and Applications of Frequentist and Bayesian Statistics Using Python

- Theory and Applications of Artificial Neural Networks, CNN, RNN, LSTM and Autoencoders using TensorFlow 2.0- Contains Exercises with Solutions and Hands-On Projects

- Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and Data Science