Data Management for Natural Scientists: A Practical Guide on Data Extraction and Storage with Python, Matthias Hofmann
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Guido Sarah Название: Introduction to Machine Learning with Python ISBN: 1449369413 ISBN-13(EAN): 9781449369415 Издательство: Wiley Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Goltz, Nachshon (Sean) Название: Real World AI Ethics for Data Scientists ISBN: 1032275065 ISBN-13(EAN): 9781032275062 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Goltz, Nachshon (sean) Dowdeswell, Tracey Название: Real world ai ethics for data scientists ISBN: 1032275057 ISBN-13(EAN): 9781032275055 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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
Автор: by A Suresh; N Malarvizhi; Pethuru Raj; E A Neeba Название: Practical Python Programming for Data Scientists ISBN: 1774691582 ISBN-13(EAN): 9781774691588 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 20691.00 р. Наличие на складе: Нет в наличии.
Описание: Data science plays a very vital role in shaping up the process of transitioning data into information and into knowledge. As business enterprises, organizations, governments, IT companies, and service providers are keenly becoming data-driven, the role and responsibility of data scientists are bound to go up significantly. Python is emerging as the leading programming language for data science projects. The aim of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications.
Описание: Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what`s important and what`s not
Автор: Sri, Mathangi Название: Practical natural language processing with python ISBN: 148426245X ISBN-13(EAN): 9781484262450 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
NLP
Search
Reviews
Tweets/FB Posts
Chat data
SMS data
Content data
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
Автор: Agresti, Alan, Название: Foundations of statistics for data scientists : ISBN: 0367748452 ISBN-13(EAN): 9780367748456 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 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.
Автор: Subasi, Abdulhamit Название: Practical Machine Learning For Data Analysis Using Python ISBN: 0128213795 ISBN-13(EAN): 9780128213797 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.
Foundational skills related to Company, Colleagues, Storytelling, Expectations, Results and Careers--emphasizing how each topic relates to your unique position as an analytics professional.
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