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Data Management for Natural Scientists: A Practical Guide on Data Extraction and Storage with Python, Matthias Hofmann



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Цена: 13228р.
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Автор: Matthias Hofmann   (Маттиас Хоффман)
Название:  Data Management for Natural Scientists: A Practical Guide on Data Extraction and Storage with Python
Перевод названия: Маттиас Хоффман: Управление данными для естествоиспытателей. Практическое руководство по извлечению
ISBN: 9783110788402
Издательство: Walter de Gruyter
Классификация:
ISBN-10: 3110788403
Обложка/Формат: Paperback
Страницы: 216
Вес: 0.398 кг.
Дата издания: 20.02.2023
Серия: De gruyter textbook
Язык: English
Иллюстрации: 20 tables, black and white; 1 illustrations, black and white; 71 illustrations, color
Размер: 170 x 246 x 17
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Chemical engineering,Engineering: general,General studies,Life sciences: general issues,Materials science,Physics, SCIENCE / General,SCIENCE / Life Sciences / Cell Biology,SCIENCE / Life Sciences / General,SCIENCE / Physics / General,TECHNOLOGY & ENGINEER
Подзаголовок: A practical guide to data extraction and storage using python
Рейтинг:
Поставляется из: Германии
Описание:

The Data Guidebook for Scientists offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from getting hands on experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.




Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 10809 р.
Наличие на складе: Нет в наличии.

Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Introduction to Machine Learning with Python

Автор: Guido Sarah
Название: Introduction to Machine Learning with Python
ISBN: 1449369413 ISBN-13(EAN): 9781449369415
Издательство: Wiley
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Цена: 10294 р.
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Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Foundations of statistics for data scientists :

Автор: Agresti, Alan,
Название: Foundations of statistics for data scientists :
ISBN: 0367748452 ISBN-13(EAN): 9780367748456
Издательство: Taylor&Francis
Рейтинг:
Цена: 13369 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistical methods and the theory behind them, rather than on data science.

Practical Machine Learning For Data Analysis Using Python

Автор: Subasi, Abdulhamit
Название: Practical Machine Learning For Data Analysis Using Python
ISBN: 0128213795 ISBN-13(EAN): 9780128213797
Издательство: Elsevier Science
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Цена: 17880 р.
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Описание:

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.

Business Skills for Data Scientists: Practical Guidance in Six Key Topics

Автор: Stephenson David
Название: Business Skills for Data Scientists: Practical Guidance in Six Key Topics
ISBN: 1736183001 ISBN-13(EAN): 9781736183007
Издательство: Неизвестно
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Цена: 6930 р.
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Описание:

Foundational skills related to Company, Colleagues, Storytelling, Expectations, Results and Careers--emphasizing how each topic relates to your unique position as an analytics professional.

Real World AI Ethics for Data Scientists

Автор: Goltz, Nachshon (Sean)
Название: Real World AI Ethics for Data Scientists
ISBN: 1032275065 ISBN-13(EAN): 9781032275062
Издательство: Taylor&Francis
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Цена: 23595 р.
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Real world ai ethics for data scientists

Автор: Goltz, Nachshon (sean) Dowdeswell, Tracey
Название: Real world ai ethics for data scientists
ISBN: 1032275057 ISBN-13(EAN): 9781032275055
Издательство: Taylor&Francis
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Цена: 6762 р.
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Описание: In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data.

Statistics: Practical Concept of Statistics for Data Scientists

Автор: Slavio John
Название: Statistics: Practical Concept of Statistics for Data Scientists
ISBN: 1922300233 ISBN-13(EAN): 9781922300232
Издательство: Неизвестно
Рейтинг:
Цена: 3463 р.
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Описание:

Are you trying to get started with learning statistics?
This book is your answer.

Statistics are not a tool but rather a set of techniques that you have access to that will help you analyze a set of data that you either generate, receive, or give. Statistics are absolutely vital for those attempting to study big data because it allows the scientists studying the data to make sense of the information when the information is on such a large and global scale. Unlike local neighborhood statistics or marketing statistics, big data encompasses a huge range of information and often this big data will be populated by thousands if not millions of data points. Statistics help you break down these data points so that you can reasonably understand them and work with the data that comes into you.

Digital Signal Processing: A Practical Guide for Engineers and Sc

Автор: Steven Smith
Название: Digital Signal Processing: A Practical Guide for Engineers and Sc
ISBN: 075067444X ISBN-13(EAN): 9780750674447
Издательство: Elsevier Science
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Цена: 14231 р.
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Описание: In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software.
*Covers all major DSP topics
*Full of insider information and shortcuts
*Basic techniques and algorithms explained without complex numbers

Python and Matplotlib Essentials for Scientists and Engineers

Автор: Matt A. Wood
Название: Python and Matplotlib Essentials for Scientists and Engineers
ISBN: 1681749106 ISBN-13(EAN): 9781681749105
Издательство: Eurospan
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Цена: 7400 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.

Text Analysis in Python for Social Scientists

Автор: Hovy Dirk
Название: Text Analysis in Python for Social Scientists
ISBN: 1108819826 ISBN-13(EAN): 9781108819824
Издательство: Cambridge Academ
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Цена: 2917 р.
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Описание: Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it.

Practical natural language processing with python

Автор: Sri, Mathangi
Название: Practical natural language processing with python
ISBN: 148426245X ISBN-13(EAN): 9781484262450
Издательство: Springer
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Цена: 8417 р.
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Описание:

Chapter 1: Text Data in Real Word

Chapter Goal: This chapter focuses on various types of text data. The information it offers and the commercial value that each of the data could potentially offer. Understanding of the data provides the reader the landscape that they are getting into

No of pages: 10

Sub -Topics

  1. NLP
  2. Search
  3. Reviews
  4. Tweets/FB Posts
  5. Chat data
  6. SMS data
  7. Content data
  8. IVR utterance data

Chapter 2: NLP in Customer Service

Chapter Goal: Case studies for problems in customer service and how they could be solved.

No of pages: 39

Sub - Topics

1. A quick overview of the customer service industry

2. Voice Calls

3. Chats.

4. Tickets Data

5. Email Data

6. Voice of customer analysis

7. Intent Mining

8. NPS/CSAT drivers

9. Insights in Sales Chats

10. Reasons for non purchase

11. Survey Comment Analysis

12. Mining Voice transcripts

Chapter 3: NLP in Online Reviews

Chapter Goal: Case studies for problems in online reviews and how they could be solved.

No of pages: 39

Sub - Topics:

1. Sentiment Analysis

2. Emotion Mining

3. Approach 1: Lexicon based approach

4. Approach 2: Rules based approach

5. Approach 3 - Machine Learning based approach (Neural Network)

6. Attribute Extraction

Chapter 4: NLP in BFSI

Chapter Goal: case studies for problems in the banking industry

Sub - Topics:

1. NLP in Fraud

2. Method 1 (For extracting NER, popular libraries)

3. Method 2 (For extracting NER, rules based approach)

4. Method 3 (Classifier based approach using word embeddings and neural networks)

5. Other use cases of NLP in BFSI

6. Natural Language Generation in banks

No of pages: 47

Chapter 5: NLP in Virtual Assistants

Chapter Goal: Case study in building state of the art natural language bots

Sub- Topics

1. Overview

2. Approach 1: The "Classic" approach using LSTMs

3. Approach 2: Generating Responses

4. BERT

5. Further nuances in building conversational bots:

No of pages: 43



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