What are criterias of the best deep learning python oreilly? It is not easy to find the answer. We spent many hours to analyst top 10 deep learning python oreilly and find the best one for you. Let’s find more detail below.
Best deep learning python oreilly
1. Python Data Science Handbook: Essential Tools for Working with Data
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O'Reilly MediaDescription
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them allIPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, youll learn how to use:
- IPython and Jupyter: provide computational environments for data scientists using Python
- NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python
- Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
- Matplotlib: includes capabilities for a flexible range of data visualizations in Python
- Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
3. Deep Learning: A Practitioner's Approach
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O Reilly Media4. Fluent Python: Clear, Concise, and Effective Programming
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O Reilly Media5. Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
6. Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
7. Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
8. Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
9. Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
10. Deep Learning from Scratch: Building with Python from First Principles
