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Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices, Chatterjee Chanchal


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Цена: 6288.00р.
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При оформлении заказа до: 2025-09-15
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Автор: Chatterjee Chanchal
Название:  Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices
ISBN: 9781484280164
Издательство: Springer
Классификация:


ISBN-10: 1484280164
Обложка/Формат: Paperback
Страницы: 300
Вес: 0.42 кг.
Дата издания: 27.03.2022
Язык: English
Издание: 1st ed.
Иллюстрации: 85 illustrations, black and white; xxviii, 269 p. 85 illus.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Solve data analytics and machine learning problems on edge devices
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: ​Chapter 1. Introducing Data Representation FeaturesSet the context for the reader with important data representation features, present the need for adaptive algorithms to compute them and demonstrate how these algorithms are important in multiple disciplines. Additionally, discuss a common methodology adopted to derive all our algorithms.Sub-topics: 1. Data representation features2. Computational models for time-varying multi-dimensional data3. Multi-disciplinary origin of adaptive algorithms4. Common Methodology for Derivations of Algorithms5. Outline of The Book
Chapter 2. General Theories and NotationsIntroduce the reader to types of data in real-world streaming applications, discuss practical use cases and derive adaptive algorithms for mean, normalized mean, median, and covariances. Support the results with experiments on real data.Sub-topics: 1. Introduction2. Stationary and Non-Stationary Sequences3. Use Cases for Algorithms Covered in this Chapter 4. Adaptive Mean and Covariance of Nonstationary Sequences5. Adaptive Covariance and Inverses6. Adaptive Normalized Mean Algorithm7. Adaptive Median Algorithm8. Experimental Results
Chapter 3. Square Root and Inverse Square RootIntroduce readers to practical applications of square roots and inverse square roots of streaming data matrices, then present algorithms to compute them. Support the algorithms with real data.Sub-topics: 1. Introduction and Use Cases2. Adaptive Square Root Algorithms3. Adaptive Inverse Square Root Algorithms4. Experimental Results
Chapter 4. First Principal EigenvectorIntroduce the reader to adaptive computation of first principal component of streaming data, discuss the use cases with examples, derive ten algorithms with the common methodology adopted here. Demonstrate the algorithms with real-world non-stationary streaming data examples.Sub-topics: 1. Introduction and Use Cases2. Algorithms and Objective Functions3. OJA Algorithm4. RQ, OJAN, and LUO Algorithms5. IT and XU Algorithms6. Penalty Function Algorithm 7. Augmented Lagrangian Algorithms8. Summary of Algorithms9. Experimental Results
Chapter 5. Principal and Minor EigenvectorsIntroduce the reader to adaptive computation of all principal components, discuss powerful use cases with examples, derive 21 adaptive algorithms and demonstrate the algorithms on real-world time-varying data.Sub-topics: 1. Introduction and Use Cases2. Algorithms and Objective Functions3. OJA Algorithms4. XU Algorithms5. PF Algorithms6. AL1 Algorithms7. AL2 Algorithms8. IT Algorithms9. RQ Algorithms10. Summary of Adaptive Eigenvector Algorithms11. Experimental Results
Chapter 6. Accelerated Computation eigenvectorsIntroduce the reader to methods to speed up the adaptive algorithms presented in this book. Help the reader speed up a few algorithms and demonstrate their usefulness and acceleration on real-world stationery and non-stationary data.Sub-topics: 1. Introduction2. Gradient Descent Algorithm3. Steepest Descent Algorithm4. Conjugate Direction Algorithm5. Newton-Raphson Algorithm6. Experimental Results
Chapter 7. Generalized EigenvectorsIntroduce the reader to the adaptive computation of generalized eigenvectors of streaming data matrices in real-time applications. Dis

Дополнительное описание: Chapter 1. Introducing Data Representation Features.- Chapter 2. General Theories and Notations.- Chapter 3. Square Root and Inverse Square Root.- Chapter 4. First Principal Eigenvector.- Chapter 5. Principal and Minor Eigenvectors.- Chapter 6. Accelerate



Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications

Автор: Belyadi Hoss, Haghighat Alireza
Название: Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications
ISBN: 0128219297 ISBN-13(EAN): 9780128219294
Издательство: Elsevier Science
Рейтинг:
Цена: 19370.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.

Bandit Algorithms

Автор: Tor Lattimore, Csaba Szepesvari
Название: Bandit Algorithms
ISBN: 1108486827 ISBN-13(EAN): 9781108486828
Издательство: Cambridge Academ
Рейтинг:
Цена: 6970.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.

Python for Data Science: 2 Books in 1. A Practical Beginner`s Guide to learn Python Programming, introducing into Data Analytics, Machine Learn

Автор: Thompson Erick
Название: Python for Data Science: 2 Books in 1. A Practical Beginner`s Guide to learn Python Programming, introducing into Data Analytics, Machine Learn
ISBN: 1801131872 ISBN-13(EAN): 9781801131872
Издательство: Неизвестно
Рейтинг:
Цена: 4137.00 р.
Наличие на складе: Нет в наличии.

Описание:

Are you looking for a crash course that will help you learn Python? Do you want to master data science using Python? If yes, then keep reading

Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you.

This is a Python guide with 2 Books in 1:

  • Python crash course
  • Python for data analysis

Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language.

Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination.

Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry.

You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers.

This guide covers:

  • The world of data science technologies
  • Application of machine learning
  • Data scientist: the sexiest job in the 21st century
  • Learning Python from scratch
  • Data analysis with Python
  • NumPy for numerical data processing
  • Data visualization with Python
  • Projects on Python

And much more

Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence.

Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word

Ready to get started? Click the BUY NOW button


Learn Python Programming: A Beginners Crash Course on Python Language for Getting Started with Machine Learning, Data Science and Data Analytics

Автор: Russo Russel R.
Название: Learn Python Programming: A Beginners Crash Course on Python Language for Getting Started with Machine Learning, Data Science and Data Analytics
ISBN: 1801118604 ISBN-13(EAN): 9781801118606
Издательство: Неизвестно
Рейтинг:
Цена: 3031.00 р.
Наличие на складе: Нет в наличии.

Описание: If you are fascinated by Artificial Intelligence but you don't know where to start... If you think that learning Python programming would be cool but you are afraid that it's too hard for you...
Well, then you are in the right place, looking at the right book.


Artificial Intelligence is the secret behind the big ones, like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this book you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies.


If programming will open you many doors, Python programming will open you even more.


All the topics covered in this book are selected to give you a broad overview on Python programming for you to have a solid first knowledge without being overwhelmed by useless information.

Your learning process is the main goal of Learn Python Programming, then you will find both theory and hands on exercises, so you can immediately experience the possibilities of what you are learning.


With this book you will:

  • Learn the smartest way to interact with Python
  • Code your first application
  • Understand the elements of Python you will actually need
  • Easily find your path among Python data, statements, classes and objects
  • See how algorithms will help you making predictions
  • Get tips and tricks to prevent you from getting lost in coding
  • Build a complete program
  • Discover the more effective way to use classes, files and functions


As the ancient Chinese philosopher Lao Tsu said: "A journey of a thousand miles begins with a single step". So, even if you don't know anything about coding, let Learn Python Programming be the first step of your thousand miles journey.


Buy Learn Python Programming now to start your path of Artificial Intelligence.


Python for Data Science: 2 Books in 1. A Practical Beginner`s Guide to learn Python Programming, introducing into Data Analytics, Machine Learn

Автор: Thompson Erick
Название: Python for Data Science: 2 Books in 1. A Practical Beginner`s Guide to learn Python Programming, introducing into Data Analytics, Machine Learn
ISBN: 1801235171 ISBN-13(EAN): 9781801235174
Издательство: Неизвестно
Рейтинг:
Цена: 5102.00 р.
Наличие на складе: Нет в наличии.

Описание:

Are you looking for a crash course that will help you learn Python? Do you want to master data science using Python? If yes, then keep reading

Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you.

This is a Python guide with 2 Books in 1:

  • Python crash course
  • Python for data analysis

Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language.

Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination.

Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry.

You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers.

This guide covers:

  • The world of data science technologies
  • Application of machine learning
  • Data scientist: the sexiest job in the 21st century
  • Learning Python from scratch
  • Data analysis with Python
  • NumPy for numerical data processing
  • Data visualization with Python
  • Projects on Python

And much more

Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence.

Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word

Ready to get started? Click the BUY NOW button


Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data

Автор: Park Andrew
Название: Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
ISBN: 1801779546 ISBN-13(EAN): 9781801779548
Издательство: Неизвестно
Рейтинг:
Цена: 3444.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 24,97 instead of $ 34.97 LAST DAYS ★


Your Customers Never Stop to Use this Awesome book


Do you want to know everything about Data science?

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful

There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.

The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.

There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.

This book covers:

  • What Is Data Science?
  • How Can I Use Data Science?
  • The Best Python Libraries for Data Science
  • Setting Up Your Virtual Environments for Data Science
  • The Importance of the NumPy Arrays
  • Gathering and Collecting Your Data
  • Loading and Preparing Your Dataset
  • Data Mining
  • Completing the Data Analysis
  • How Machine Learning Can Help
  • How to Work with Data Visualization

Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


Buy it NOW and get addicted to this amazing book

Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data

Автор: Park Andrew
Название: Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
ISBN: 180177952X ISBN-13(EAN): 9781801779524
Издательство: Неизвестно
Рейтинг:
Цена: 3168.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 22,97 instead of $ 32.97 LAST DAYS ★


Your Customers Never Stop to Use this Awesome book


Do you want to know everything about Data science?

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful

There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.

The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.

There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.

This book covers:

  • What Is Data Science?
  • How Can I Use Data Science?
  • The Best Python Libraries for Data Science
  • Setting Up Your Virtual Environments for Data Science
  • The Importance of the NumPy Arrays
  • Gathering and Collecting Your Data
  • Loading and Preparing Your Dataset
  • Data Mining
  • Completing the Data Analysis
  • How Machine Learning Can Help
  • How to Work with Data Visualization

Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


Buy it NOW and get addicted to this amazing book

Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data

Автор: Park Andrew
Название: Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
ISBN: 1801779554 ISBN-13(EAN): 9781801779555
Издательство: Неизвестно
Рейтинг:
Цена: 4824.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 34,97 instead of $ 44.97 LAST DAYS ★



Your Customers Never Stop to Use this Awesome book


Do you want to know everything about Data science?

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful

There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.

The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.

There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.

This book covers:

  • What Is Data Science?
  • How Can I Use Data Science?
  • The Best Python Libraries for Data Science
  • Setting Up Your Virtual Environments for Data Science
  • The Importance of the NumPy Arrays
  • Gathering and Collecting Your Data
  • Loading and Preparing Your Dataset
  • Data Mining
  • Completing the Data Analysis
  • How Machine Learning Can Help
  • How to Work with Data Visualization

Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


Buy it NOW and get addicted to this amazing book

Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data

Автор: Park Andrew
Название: Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
ISBN: 1801779538 ISBN-13(EAN): 9781801779531
Издательство: Неизвестно
Рейтинг:
Цена: 4548.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 32,97 instead of $ 42.97 LAST DAYS ★


Your Customers Never Stop to Use this Awesome book


Do you want to know everything about Data science?

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful

There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.

The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.

There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.

This book covers:

  • What Is Data Science?
  • How Can I Use Data Science?
  • The Best Python Libraries for Data Science
  • Setting Up Your Virtual Environments for Data Science
  • The Importance of the NumPy Arrays
  • Gathering and Collecting Your Data
  • Loading and Preparing Your Dataset
  • Data Mining
  • Completing the Data Analysis
  • How Machine Learning Can Help
  • How to Work with Data Visualization

Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


Buy it NOW and get addicted to this amazing book

Python machine learning -

Автор: Raschka, Sebastian Mirjalili, Vahid
Название: Python machine learning -
ISBN: 1787125939 ISBN-13(EAN): 9781787125933
Издательство: Неизвестно
Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.

Hands-On Data Structures and Algorithms with Python 2 ed

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
Рейтинг:
Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Advanced Machine Learning with Python: Solve data science problems by mastering cutting-edge machine learning techniques in Python

Автор: Hearty John
Название: Advanced Machine Learning with Python: Solve data science problems by mastering cutting-edge machine learning techniques in Python
ISBN: 1784398632 ISBN-13(EAN): 9781784398637
Издательство: Неизвестно
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Цена: 9010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: With the help of advanced machine learning techniques, engaging activities, and detailed code examples, this book will train you to find solutions for challenging data science problems and help you develop the skills needed for feature selection and feature engineering.


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