Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)
genuine image
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)
Learn AI with Python is a practical guide that covers the essential aspects of AI and provides hands-on experience with various machine learning and deep learning algorithms, logic programming, neural networks, and natural language processing through real-world examples and fully functional Python implementation.
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)
Sản phẩm #: 46978796

Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and

Sản phẩm #: 46978796

VND 1022733

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Hoa Kỳ

Trong kho
Hoa Kỳ Đã nhập từ cửa hàng USA
Đặt hàng ngay bây giờ và nhận hàng vào khoảng Thứ Ba, Tháng 6 30
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Learn AI with Python is a practical guide that covers the essential aspects of AI and provides hands-on experience with various machine learning and deep learning algorithms, logic programming, neural networks, and natural language processing through real-world examples and fully functional Python implementation.
Bảo hành của U-Care:
Không có
Chọn một kế hoạch
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of Hoa Kỳ store (110-120). Recommended power converters Mua ngay.

What Stands Out

Comprehensive Learning
This book offers an in-depth exploration of both machine learning and deep learning, providing readers with the knowledge required to build intelligent AI systems effectively.
Practical Tools
Utilizes popular libraries like Scikit-Learn, NLTK, NeuroLab, and Keras, ensuring readers gain hands-on experience with industry-standard tools to tackle real-world AI challenges.
Beginner-Friendly
Designed for learners at all levels, this guide simplifies complex concepts, making machine learning accessible and engaging for newcomers to the field.

Thông tin chi tiết sản phẩm

Explore Machine Learning and Deep Learning techniques with Python. Build Smart AI Systems using Scikit-Learn, NLTK, NeuroLab, and Keras. English Edition Paperback available at Ubuy Vietnam.
  • Practical guide to Python covering Machine Learning and Deep Learning concepts
  • Illustrations of Natural Language Processing using NLTK
  • Explains deep learning models such as R-CNN and YOLO for object recognition
  • Hands-on experience with logic programming, ASR, neural networks, and natural language processing
  • Teaches how to build an image classifier using CNNs
  • Suitable for anyone interested in artificial intelligence and Python, including intermediate Machine Learning practitioners
Item Weight1.1 lbs (500 grams)

Who Should Buy?

Suitable For
  • Beginner Programmers

    Individuals with basic Python skills seeking to understand AI fundamentals and machine learning techniques step-by-step.

  • Data Science Students

    Students looking to enhance their knowledge in AI and machine learning with practical examples and Python libraries.

  • AI Enthusiasts

    Technology enthusiasts eager to grasp the principles of AI development and explore real-world applications.

Not Suitable For
  • Advanced Practitioners

    Experienced developers or data scientists may find the content too basic or lacking in advanced topics and techniques.

  • Non-Technical Users

    Individuals without programming experience may struggle with the technical concepts and require more foundational knowledge.

  • Quick Learners

    Users needing rapid skill acquisition may find the gradual approach unsuitable for fast-paced learning environments.

MÔ TẢ SẢN PHẨM

Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)

Có thắc mắc? Trò chuyện với chúng tôi

Hỏi Đáp dành cho Khách hàng

  • câu hỏi: What programming knowledge do I need to start learning AI with Python?

    trả lời: To begin learning AI with Python, a foundational understanding of Python programming is crucial. This book assumes you have basic skills, such as variable manipulation, control structures, and functions. Knowing how to work with libraries like NumPy and Pandas can also enhance your learning experience. This foundational knowledge allows you to grasp AI concepts easily, as you will be applying Python to various machine learning and deep learning techniques. For instance, after reading the book, you could experiment with creating neural networks using NeuroLab and building machine learning models with Scikit-Learn.
  • câu hỏi: How does this book help in building real-world AI applications?

    trả lời: This book equips readers with practical knowledge on using AI frameworks and libraries to create real-world applications. By exploring Scikit-Learn, NLTK, and NeuroLab, you will learn to build, train, and deploy AI models that can solve specific problems. Examples of real-world applications include natural language processing tasks, such as sentiment analysis using NLTK, and predictive modeling with Scikit-Learn. The hands-on projects included in the book will enhance your problem-solving skills and prepare you to tackle challenges faced in actual AI development scenarios.
  • câu hỏi: Is prior experience in machine learning required to understand the content?

    trả lời: No prior experience in machine learning is required to understand the content of this book. It is designed for beginners and provides a structured approach to learning. The book starts from the fundamentals and gradually progresses to more complex topics. For example, you will first learn simple concepts like data preprocessing and gradually move on to more sophisticated techniques like deep learning with neural networks. This structured approach helps demystify complex machine learning principles, making them accessible even for those with no background in the field.
  • câu hỏi: What AI concepts will I learn from this book?

    trả lời: This book covers a wide range of AI concepts, including machine learning, deep learning, and natural language processing. You will learn about supervised and unsupervised learning methods, neural networks, and how to utilize various libraries to implement these techniques. Additionally, you will gain insights into model evaluation and optimization. For example, you can apply what you learned about decision trees and clustering algorithms to solve problems in classification and data analysis, making your AI projects more impactful.
  • câu hỏi: Can I apply what I learn in this book to data science projects?

    trả lời: Yes, the skills and concepts learned in this book can be directly applied to data science projects. By mastering machine learning techniques, you'll be equipped to analyze and extract insights from large datasets. You'll learn to use Scikit-Learn for predictive modeling and data visualization, which are essential components of data science. For instance, after completing the book, you might build a recommendation system using collaborative filtering, showcasing the practical application of your newfound skills in the data science sphere.
  • câu hỏi: Are there any supplementary resources or tools recommended in the book?

    trả lời: Yes, the book introduces several supplementary resources and tools that can enhance your learning experience. Apart from the main libraries like Scikit-Learn and NLTK, it also suggests using Jupyter Notebook for coding and experimenting with Python interactively. Additionally, online platforms such as GitHub and Kaggle are recommended for accessing datasets and community projects. These resources provide an environment where you can practice your skills and collaborate with other learners, further enriching your understanding of AI concepts.
  • câu hỏi: What are the prerequisites for understanding deep learning through this book?

    trả lời: To understand deep learning through this book, you should have a solid grasp of Python basics and machine learning principles. Familiarity with linear algebra and calculus concepts is also beneficial, as they are often used in neural network algorithms. This foundational knowledge will help you to understand deeper concepts such as backpropagation and activation functions. For example, a strong mathematical background will assist you in comprehending how deep learning models learn from data, ultimately allowing you to build more effective AI systems.
  • câu hỏi: What type of projects can I build after completing this book?

    trả lời: After completing this book, you can embark on numerous exciting projects that leverage your AI skills. Possible projects include developing chatbots using NLTK for natural language processing or creating predictive models for stock market analysis with Scikit-Learn. Each project would allow you to apply the concepts and techniques learned throughout the book, improving your practical skills. Engaging in these projects not only strengthens your understanding but also builds a portfolio that showcases your capabilities in AI and machine learning.
  • câu hỏi: Is this book suitable for someone with no technical background?

    trả lời: While the book is tailored for readers with a basic understanding of Python, it is still accessible to those with limited technical backgrounds. The concepts are explained in a beginner-friendly manner, with illustrations and examples to clarify complex ideas. The introductory chapters focus on foundational concepts and gradually introduce more technical topics, ensuring you can follow along. For example, starting with simple data manipulation will equip you with the tools needed to tackle AI projects effectively, ultimately making the subject matter less daunting.
  • câu hỏi: Where can I buy Learn AI with Python?

    trả lời: You can purchase 'Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and more' on Ubuy in Vietnam. Ubuy is an online shopping platform that offers a wide selection of books, including technical and programming literature. Their user-friendly interface makes it convenient to find and order this title, ensuring you get started on your AI journey with Python promptly.

Intelligence & Semantics Editorial Review

The book appears to be a comprehensive guide for those interested in Machine Learning and Data Science. It covers basic to advanced topics with well-thought-out explanations and well-chosen code examples. The author has done a good job in justifying the inclusion of some intricate topics that are not readily available on the internet. It has been recommended as a must-read for every ML and Data Science aspirant. The print quality of the book is excellent.

Customer Reviews & Ratings

5.0
1 điểm của khách hàng
  • 5 sao
    100%
  • 4 sao
    0%
  • 3 sao
    0%
  • 2 sao
    0%
  • 1 sao
    0%

Đánh giá sản phẩm này

Chia sẻ suy nghĩ của bạn với các khách hàng khác

ưu

  • Comprehensive guide for beginners and those with some knowledge of ML
  • Covers basic to advanced topics
  • Excellent print quality
  • Well-thought-out explanations
  • Well-chosen code examples

Product Price History

Thông tin quan trọng

  • Hạn chế: Đối với các sản phẩm được vận chuyển quốc tế, xin lưu ý rằng bất kỳ chính sách bảo hành nào của nhà sản xuất có thể không còn hiệu lực; các tùy chọn dịch vụ của nhà sản xuất có thể không khả dụng; hướng dẫn sử dụng sản phẩm, hướng dẫn và cảnh báo an toàn có thể không có bằng ngôn ngữ của quốc gia đến; các sản phẩm (và các tài liệu đi kèm) có thể không được thiết kế theo các tiêu chuẩn, thông số kỹ thuật và các yêu cầu ghi nhãn của quốc gia đến; và các sản phẩm có thể không phù hợp với điện áp của quốc gia đến cũng như các tiêu chuẩn khác về điện (cần phái sử dụng đầu nối hoặc bộ chuyển đổi nếu thích hợp). Người nhận có trách nhiệm đảm bảo rằng sản phẩm có thể được nhập khẩu hợp pháp đến quốc gia đến. Khi đặt hàng từ Ubuy hoặc các chi nhánh của Ubuy, người nhận là nhà nhập khẩu trong hồ sơ, đồng thời phải tuân thủ tất cả các luật cũng như quy định của quốc gia đến.
  • Không phải tất cả các sản phẩm được liệt kê trên Ubuy đều được rao bán, vì Ubuy là một công cụ tìm kiếm toàn cầu. Sản phẩm phải tuân theo các quy định về xuất khẩu/thương mại.

VND 1022733

Đặt hàng ngay bây giờ và nhận hàng vào khoảng Thứ Ba, Tháng 6 30

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Các tính năng và lợi ích

  • Practical guide to AI with Python
  • Covers machine learning and deep learning algorithms, logic programming, neural networks, and natural language processing
  • Provides hands-on experience with real-world examples and Python implementation
  • Suitable for beginners to intermediate level
  • Includes a methodology for formulating and solving related problems
  • Explains object detection in images using Convolutional Neural Networks