0 ratings
商品＃:
142736618
Machine Learning
90% of respondents would recommend this to a friend
商品＃:
142736618
TWD 1670
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 美國
有存貨
從USA商店匯入
QTY:
立即訂購並活動它 週五, 十月 09
Secured 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
Unlock the power of machine learning with a guide designed to take you from foundational concepts to cutting-edge applications.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Comprehensive Coverage
This book provides an extensive overview of machine learning concepts, ensuring readers gain a solid understanding of both theoretical frameworks and practical applications in the field.
User-Friendly Format
With clear explanations and structured chapters, this paperback is perfect for beginners and experienced practitioners alike, making complex topics accessible and easy to digest.
Future-Proof Insights
Published in 2025, it includes up-to-date trends and technologies, equipping readers with knowledge that prepares them for emerging challenges and innovations within the industry.
產品詳情
- Machine Learning: Algorithms, Theory and Practice — A Comprehensive Hands-On Guide with PythonUnlock the power of machine learning with a guide designed to take you from foundational concepts to cutting-edge applications. Machine Learning: Algorithms, Theory, and Practice is your all-in-one companion for mastering the theory and hands-on techniques behind modern ML systems—crafted for students, developers, educators, and professionals alike.This comprehensive guide is structured for progressive learning. You’ll start with the essentials of AI and Python programming, then advance through data preprocessing, statistical modeling, and classical machine learning algorithms. From there, you'll dive into deep learning, natural language processing (NLP), reinforcement learning, and generative AI—each topic reinforced with real-world coding exercises and clear explanations.Inside, you’ll find:Foundational theory and intuitive explanations of key ML concepts, including supervised and unsupervised learning, regression, classification, clustering, and model evaluation.Practical tutorials using Python and essential libraries such as NumPy, pandas, scikit-learn, and matplotlib.Practical tutorials that lead you through the process of building, training, and testing machine learning modelsAdvanced coverage of neural networks, CNNs, RNNs, BERT, transformer models, and diffusion-based generative AI.Bonus content, including around 300 glossary terms, frequently asked questions, and hands-on guidance for using Jupyter Notebooks effectively.Whether you're aiming for AI certifications, transitioning into a machine learning role, or applying ML techniques to real-world challenges, this book provides both the conceptual clarity and practical skills to help you thrive in the evolving world of machine learning.
| Publisher | Independently published |
| Publication date | April 3, 2025 |
| Language | English |
| Print length | 584 pages |
| ISBN-13 | 979-8316633296 |
| Item Weight | 3.61 pounds (1.64 kg) |
| Dimensions | 8.5 x 1.32 x 11 inches (21.6 x 3.4 x 27.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
This book provides foundational knowledge essential for entering the data science field effectively and confidently.
-
Students in Academia
Ideal for college students pursuing courses in machine learning, offering theoretical insights and practical applications.
-
Tech Professionals
Working professionals looking to upskill or transition into machine learning roles will find valuable content and resources.
-
Beginners in Programming
Individuals without a programming background may struggle with concepts and implementation discussed in this book.
產品描述
有疑問？ 和我們聊天
客戶問題與解答
-
問題:
What is Machine Learning?
Answer: Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms that allow computers to learn from and make predictions based on data. It enables systems to improve their performance over time without being explicitly programmed. For instance, a machine learning model can analyze vast amounts of data to identify patterns and make decisions, making it essential in areas like predictive analytics, natural language processing, and image recognition. -
問題:
How does Machine Learning work?
Answer: Machine Learning operates on the principle of feeding vast datasets into algorithms, which then identify patterns and make predictions. The process typically involves training a model using a dataset, where it learns the relationships between input features and output labels. After training, the model can be tested on new data to see how accurately it can predict outcomes. This functionality is crucial across various fields, including finance for credit scoring, healthcare for diagnosis, and e-commerce for personalized recommendations. -
問題:
What are the types of Machine Learning?
Answer: The main types of Machine Learning are supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the model is trained on labeled data, allowing it to learn the mapping between inputs and outputs. Unsupervised learning involves finding hidden patterns in data without pre-existing labels, often used for clustering and association tasks. Reinforcement learning teaches models to make a sequence of decisions by rewarding desirable outcomes, commonly applied in robotics and gaming. -
問題:
What are some practical applications of Machine Learning?
Answer: Machine Learning has a wide array of applications, including fraud detection in banking, speech recognition in virtual assistants, and recommendation engines in e-commerce that personalize the shopping experience. For example, Netflix uses machine learning algorithms to analyze viewers' behavior and suggest movies and shows that they might enjoy, greatly enhancing user satisfaction. -
問題:
What is the role of data in Machine Learning?
Answer: Data is the cornerstone of Machine Learning as it provides the necessary information for algorithms to learn and make predictions. High-quality data allows for more accurate models. This includes structured data, such as databases, and unstructured data, such as text and images. For instance, in real estate, data about past property sales can help machine learning models predict future prices. -
問題:
Can Machine Learning models interpret unstructured data?
Answer: Yes, Machine Learning models are increasingly capable of interpreting unstructured data, such as text, images, and videos. Techniques like natural language processing enable models to understand language nuances, while computer vision allows machines to interpret visual data. This capability paves the way for applications like sentiment analysis on social media and automated image tagging, adding significant value to businesses. -
問題:
What is overfitting in Machine Learning?
Answer: Overfitting occurs when a machine learning model learns the details and noise in the training data to the extent that it negatively impacts its performance on new data. This happens when the model is overly complex compared to the amount of data available. To avoid overfitting, techniques such as cross-validation, pruning, and regularization are commonly employed. For example, simplifying a model might improve its performance on unseen data. -
問題:
How does Machine Learning differ from traditional programming?
Answer: Unlike traditional programming, where developers write explicit instructions for the computer to follow, Machine Learning enables computers to learn from data patterns and make adjustments independently. This adaptive approach is particularly useful in situations where it is challenging to define rules explicitly, such as recognizing speech or images. Over time, this leads to systems that continuously improve as they are exposed to more data. -
問題:
What skills are needed to work in Machine Learning?
Answer: To work in Machine Learning, one should possess a strong foundation in mathematics, particularly statistics, and linear algebra, along with proficiency in programming languages like Python or R. Familiarity with machine learning frameworks such as TensorFlow and PyTorch is also advantageous. Professionals often apply these skills in diverse fields, such as developing automated trading systems in finance or creating personalized healthcare solutions. -
問題:
Where can I buy Machine Learning in Taiwan?
Answer: You can purchase Machine Learning products from Ubuy, a trusted online platform that offers a variety of machine learning resources and tools tailored to your needs in Taiwan. Ubuy provides a comprehensive selection of books, software, and online courses that can enhance your understanding and practical application of machine learning concepts.
AI & Machine Learning Editorial Review
Machine Learning: Algorithms, Theory and Practice is an exceptional resource that bridges the gap between theory and hands-on practice, making it perfect for both newcomers and experienced readers. Its structured approach covers everything from basic regression to advanced topics like transformers and generative AI, while the inclusion of over 300 glossary terms and clear guidance using libraries like NumPy and scikit-learn ensures a great learning experience. Readers appreciate the clarity and digestibility of the explanations, which help demystify complex subjects without being overwhelming. This book offers a practical way to master machine learning without feeling lost in jargon.
Customer Reviews & Ratings
16 客戶評價
-
5 星
70%
-
4 星
21%
-
3 星
9%
-
2 星
0%
-
1 星
0%
評論這個產品
和其他客戶分享您的想法
優點
- Structured approach from basics to advanced topics
- Over 300 glossary terms for quick reference
- Clear guidance using popular libraries
- Real-world coding tutorials for practical learning
- Balanced explanations of concepts and code
缺點
- Some chapters delve into advanced mathematics, which may require extra study.
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Verified buyer
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
安全結帳
Global Delivery
Easy Returns
Genuine Products
Product Price History
重要資訊
- 限制：對於國際運輸的產品，請注意任何製造商保修可能無效；製造商服務選項可能不可用；產品手冊、說明和安全警告可能不是目的地國家的語言；產品（及隨附材料）的設計可能不符合目的地國家的標準、規範和標籤要求；並且產品可能不符合目的地國家的電壓和其他電氣標準（如果適用，需要使用適配器或轉換器）。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時，收件人是記錄在案的進口人，並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎，因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 1670
立即訂購並活動它 週五, 十月 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
特色和優勢
- Comprehensive hands-on guide for mastering machine learning.
- Covers foundational AI and Python concepts progressively.
- Includes tutorials on data preprocessing and classical algorithms.
- Features advanced topics like deep learning, NLP, and generative AI.
- Offers real-world coding exercises and practical coding tutorials.
- Bonus content includes a glossary and guidance for using Jupyter Notebooks.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.