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Python Data Science Essentials - Second Edition: Learn the fundamentals of Data Science with Python, Massaron Luca, Boschetti Alberto


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Автор: Massaron Luca, Boschetti Alberto
Название:  Python Data Science Essentials - Second Edition: Learn the fundamentals of Data Science with Python
ISBN: 9781786462138
Издательство: Packt Publishing
Классификация:
ISBN-10: 1786462133
Обложка/Формат: Paperback
Страницы: 378
Вес: 0.65 кг.
Дата издания: 28.10.2016
Язык: English
Издание: 2 revised edition
Размер: 23.50 x 19.05 x 1.98 cm
Читательская аудитория: General (us: trade)
Рейтинг:
Поставляется из: США
Описание:

Become an efficient data science practitioner by understanding Pythons 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.


Tensorflow Deep Learning Projects

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.

Regression Analysis with Python

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

Python data science essentials

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.

Python Data Science Essentials

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.

Large Scale Machine Learning with Python

Автор: Sjardin Bastiaan, Massaron Luca, Boschetti Alberto
Название: Large Scale Machine Learning with Python
ISBN: 1785887211 ISBN-13(EAN): 9781785887215
Издательство: Неизвестно
Рейтинг:
Цена: 67430.00 T
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Artificial Intelligence for Dummies

Автор: Mueller John Paul, Massaron Luca
Название: Artificial Intelligence for Dummies
ISBN: 1119796768 ISBN-13(EAN): 9781119796763
Издательство: Wiley
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Цена: 27450.00 T
Наличие на складе: Поставка под заказ.
Описание: The essays in this volume focus on the history and culture of Cyprus. Ranging from the Pre-Pottery Neolithic to ethnoarchaeology in the recent past, the papers cover archaeological landscapes, material culture, settlement studies, and regional interaction. The collection is dedicated to Stuart Swiny who served as long-time Director of the Cyprus American Archaeological Research Institute.

Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer

Автор: Audevart Alexia, Banachewicz Konrad, Massaron Luca
Название: Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer
ISBN: 1800208863 ISBN-13(EAN): 9781800208865
Издательство: Неизвестно
Рейтинг:
Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to guide you through TensorFlow 2 and how to use it effectively. Throughout the book, you will work through recipes and get hands-on experience to perform complex data computations, gain insights into your data, and more.

Python: Real World Machine Learning

Автор: Joshi Prateek, Massaron Luca, Hearty John
Название: Python: Real World Machine Learning
ISBN: 1787123219 ISBN-13(EAN): 9781787123212
Издательство: Неизвестно
Цена: 110340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Explore the great features of the all-new JIRA 7 to manage projects and effectively handle bugs and software issues

Key Features

  • Updated for JIRA 7, this book covers all the new features introduced in JIRA 7 with a dedicated chapter on JIRA Service Desk--one of the biggest new add-ons to JIRA
  • This book lays a strong foundation to work with agile projects in JIRA from both the administrator and end user's perspective
  • Learn to solve challenging data science problems by building powerful machine learning models using Python

Book Description

Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us.

In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and feature engineering.

The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learning and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.

This Learning Path will teach you Python machine learning for the real world. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:

  1. Python Machine Learning Cookbook by Prateek Joshi
  2. Advanced Machine Learning with Python by John Hearty
  3. Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron

What you will learn

  • Use predictive modeling and apply it to real-world problems
  • Understand how to perform market segmentation using unsupervised learning
  • Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test
  • Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms
  • Increase predictive accuracy with deep learning and scalable data-handling techniques
  • Work with modern state-of-the-art large-scale machine learning techniques
  • Learn to use Python code to implement a range of machine learning algorithms and techniques

Who this book is for

This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected.



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