Large Scale Machine Learning with Python, Sjardin Bastiaan, Massaron Luca, Boschetti Alberto
Автор: Boschetti Alberto, Massaron Luca, Thakur Abhishek Название: Tensorflow Deep Learning Projects ISBN: 1788398068 ISBN-13(EAN): 9781788398060 Издательство: Неизвестно Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will train high-performance models in TensorFlow to generate captions for images automatically, predict stocks` performance, create intelligent chatbots, perform large-scale text classification, develop recommendation systems, and more.
Автор: Boschetti Alberto, Massaron Luca Название: Python Data Science Essentials ISBN: 1785280422 ISBN-13(EAN): 9781785280429 Издательство: Неизвестно Рейтинг: Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Boschetti, Alberto Massaron, Luca Название: Python data science essentials ISBN: 178953786X ISBN-13(EAN): 9781789537864 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
Become an efficient data science practitioner by understanding Python's key concepts
Key Features:
Quickly get familiar with data science using Python 3.5
Save time (and effort) with all the essential tools explained
Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience
Book Description:
Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow.
Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.
What You Will Learn:
Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
Get data ready for your data science project
Manipulate, fix, and explore data in order to solve data science problems
Set up an experimental pipeline to test your data science hypotheses
Choose the most effective and scalable learning algorithm for your data science tasks
Optimize your machine learning models to get the best performance
Explore and cluster graphs, taking advantage of interconnections and links in your data
Who this book is for:
If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.
Автор: Massaron Luca, Boschetti Alberto Название: Regression Analysis with Python ISBN: 1785286315 ISBN-13(EAN): 9781785286315 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks
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