What topics are covered in 'Hands-On Unsupervised Learning Using Python'?

The book provides a comprehensive overview of unsupervised learning techniques such as clustering, dimensionality reduction, and anomaly detection. It explores various algorithms, including K-Means, Hierarchical Clustering, and Principal Component Analysis (PCA). Beyond just theory, it includes practical case studies and hands-on coding examples that help readers understand how to implement these concepts using Python libraries like Scikit-learn and Pandas. This resource is ideal for data scientists and machine learning practitioners looking to enhance their skills in unsupervised learning.

Who is the intended audience for this book?

This book is designed for individuals who have a basic understanding of Python programming and data analysis. It is particularly suitable for data scientists, machine learning practitioners, and students looking to deepen their knowledge of unsupervised learning techniques. Whether you are a beginner or have some experience, the structured approach and practical examples will help you navigate the complexities of building machine learning solutions from unlabeled data effectively.

What programming languages and tools will I learn to use in this book?

The primary programming language featured in 'Hands-On Unsupervised Learning Using Python' is Python. Readers will work primarily with libraries such as Scikit-learn, NumPy, and Pandas, which are essential for data manipulation and machine learning. The practical examples will compile these tools, demonstrating how to manipulate data sets and apply unsupervised algorithms effectively. This hands-on approach not only enhances coding skills but also equips readers with the practical know-how to implement real-world machine learning solutions.

Can beginners understand the content in this book?

Yes, 'Hands-On Unsupervised Learning Using Python' is accessible to beginners, as it starts with foundational concepts and gradually moves on to more complex techniques. Each chapter is structured to facilitate step-by-step learning, with practical examples and code snippets provided along the way. Additionally, explanations are clear and engaging, making it easier for newcomers to grasp the essentials of unsupervised learning and its applications within Python, setting a solid groundwork for more advanced study.

What kind of projects can I expect to undertake from this book?

This book includes numerous projects that revolve around real-world datasets, allowing readers to apply unsupervised learning techniques to uncover patterns and insights. Projects range from clustering customer data to implementing dimensionality reduction techniques for visualizing high-dimensional datasets. These practical scenarios not only reinforce learning but also prepare readers to tackle similar challenges in professional settings, enhancing their portfolio with tangible examples of implemented machine learning solutions.

How can I apply the knowledge from this book in my career?

The skills learned from 'Hands-On Unsupervised Learning Using Python' are directly applicable in various fields such as data analysis, marketing, and finance. For instance, expertise in clustering can help in customer segmentation to tailor marketing strategies effectively. Additionally, the understanding of anomaly detection can be invaluable for fraud prevention in financial transactions. By adding these competencies to your skill set, you stand to enhance your employability and value in data-driven roles.

Is this book suitable for someone working in data analysis?

Absolutely! 'Hands-On Unsupervised Learning Using Python' is especially beneficial for data analysts looking to expand their toolkit. Unsupervised learning techniques enhance the ability to analyze complex datasets without pre-labeled outcomes, enabling better insights into underlying patterns. This book provides the necessary techniques to analyze large volumes of data more effectively, making it a significant resource for professionals in the data analysis field who wish to add valuable methods to their analytical capabilities.

What is the structure of the book?

The book is structured across several chapters, each focusing on key aspects of unsupervised learning. Starting with foundational concepts, it progresses through various algorithms and applications, integrating theory with practice. Each chapter typically concludes with practical exercises that consolidate understanding by allowing readers to apply learned techniques to solve real-world problems. This clear structure helps guide readers through the learning process, making it easier to absorb information and build skills progressively.

Are there any prerequisites before reading this book?

While 'Hands-On Unsupervised Learning Using Python' is designed to be accessible to those new to unsupervised learning, a foundational knowledge of Python programming and basic statistics is recommended. Familiarity with data manipulation libraries like Pandas or NumPy can enhance your understanding of the examples provided. This foundational knowledge will enable readers to fully benefit from the practical coding exercises and apply the skills in real-world scenarios more effectively.

Wie kaufe ich Hands-On Unsupervised Learning Using Python: How to online bei Ubuy ein?

Es ist ganz einfach, Hands-On Unsupervised Learning Using Python: How to online bei Ubuy einzukaufen.. Sie müssen nur nach dem Produkt suchen, beim Bezahlen Ihre Versandart auswählen und es an Ihren Standort liefern lassen.

Ist Hands-On Unsupervised Learning Using Python: How to in Austria zum Online-Shoppen verfügbar?

Ja, bei Ubuy Austria können Sie dieses Produkt zu einem angemessenen Preis kaufen.. Das Hands-On Unsupervised Learning Using Python: How to ist lokal nicht verfügbar, aber Sie können uns unseren Expressversandservice anvertrauen.

Wie lange dauert es nach der Bestellung, bis ich das Produkt erhalte?

Die Lieferzeit Ihres bestellten Produkts hängt davon ab, was Sie bestellt haben und welche Versandart Sie gewählt haben.. Die voraussichtliche Lieferzeit wird während des Bestellvorgangs angegeben. Seien Sie also beim Einkaufen unbesorgt.

Original sehen

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence.

Artikelnr.: 15557360

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Q: Where can I buy 'Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition' in Austria?

You can purchase 'Hands-On Unsupervised Learning Using Python' on Ubuy, which provides a wide range of books, including this title. Ubuy offers an efficient shopping experience, ensuring you find the book quickly. With Ubuy, you can access product details, reviews and enjoy seamless navigation while securing your copy of this essential resource for mastering unsupervised learning in Python.

86% der Befragten würden dies einem Freund empfehlen

Artikelnr.: 15557360

€ 51

Price Details

Ohne Versand- und Zollkosten ( Versand- und Zollkosten werden an der Kasse berechnet )

^{*Alle Artikel werden aus USA importiert}

Verfügbarkeit : Auf Lager

Vom USA Store für Sie importiert

QTY:

Bestellen Sie jetzt und erhalten Sie es am Dienstag, Oktober 13

Gesicherte Transaktion

Unsere besten Logistigpartner

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence.

U-Care-Garantie:

Keine

Wählen Sie einen Plan aus

Fast
Shipping

Kostenlose
Rücksendung^*

Sichere Verpackung

100 % Originalprodukte

PCI DSS-Standards

ISO 27001-zertifiziert

Note: Step Down Voltage Transformer required for using electronics products of USA store (110-120). Recommended power converters Jetzt kaufen.

Besondere Merkmale

Practical Approach

Focuses on real-world applications of unsupervised learning, helping readers acquire hands-on experience to solve actual data challenges.

Comprehensive Coverage

Covers a wide range of unsupervised learning techniques and algorithms, ensuring readers gain a deep understanding of the subject matter.

Python Integration

Utilizes Python, a widely-used programming language, making it accessible for beginners while offering advanced techniques for experienced practitioners.

Produktdetails

Publisher	O'Reilly Media
Publication date	April 16, 2019
Edition	1st
Language	English
Print length	362 pages
ISBN-10	1492035645
ISBN-13	978-1492035640
Item Weight	2.31 pounds (1.05 kg)
Dimensions	7 x 0.75 x 9 inches (17.8 x 1.9 x 22.9 cm)

Für wen ist das Produkt geeignet?

Data Scientists
Ideal for data scientists looking to deepen their understanding of unsupervised learning techniques in Python.
Machine Learning Enthusiasts
Great for enthusiasts aiming to apply unsupervised learning solutions to real-world problems without labeled datasets.
Students and Educators
Useful for students and educators wishing to explore machine learning concepts with practical Python applications.

Beginners in Programming
Not suitable for those with little to no programming knowledge, as it covers advanced topics extensively.

PRODUKTBESCHREIBUNG

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Haben Sie eine Frage? Mit uns chatten

Kundenfragen und -antworten

Frage: Wie kaufe ich Hands-On Unsupervised Learning Using Python: How to online bei Ubuy ein?

Antworten: Es ist ganz einfach, Hands-On Unsupervised Learning Using Python: How to online bei Ubuy einzukaufen.. Sie müssen nur nach dem Produkt suchen, beim Bezahlen Ihre Versandart auswählen und es an Ihren Standort liefern lassen.
Frage: Ist Hands-On Unsupervised Learning Using Python: How to in Austria zum Online-Shoppen verfügbar?

Antworten: Ja, bei Ubuy Austria können Sie dieses Produkt zu einem angemessenen Preis kaufen.. Das Hands-On Unsupervised Learning Using Python: How to ist lokal nicht verfügbar, aber Sie können uns unseren Expressversandservice anvertrauen.
Frage: Wie lange dauert es nach der Bestellung, bis ich das Produkt erhalte?

Antworten: Die Lieferzeit Ihres bestellten Produkts hängt davon ab, was Sie bestellt haben und welche Versandart Sie gewählt haben.. Die voraussichtliche Lieferzeit wird während des Bestellvorgangs angegeben. Seien Sie also beim Einkaufen unbesorgt.

Intelligence & Semantics Editorial Review

This book has received mixed reception from customers. Some reviewers found the technical explanations to be poor and the code to be riddled with bugs. They also criticized the lack of depth in explaining concepts and the use of labeled datasets. However, there were positive reviews praising the author's writing style and approach in explaining the topic. Overall, this book seems to have disappointed readers looking for a comprehensive guide to unsupervised learning.

Kundenbewertungen

5.0

1 Kundenbewertungen

5 Sterne

100%
4 Sterne

0%
3 Sterne

0%
2 Sterne

0%
1 Sterne

0%

Bewerten Sie dieses Produkt

Teilen Sie Ihre Meinung mit anderen Kunden

Vorteile

The author uses a methodical approach in explaining the topic
Provides multiple ways to test a model
Includes examples for better feature engineering

Nachteile

Poor technical explanations

Produktpreisverlauf

Wichtige Information

Einschränkungen: Für international versandte Produkte beachten Sie bitte, dass jegliche Herstellergarantie nicht gültig sein könnte; Herstellerservice-Optionen nicht verfügbar sein könnten; Produkthandbücher, Gebrauchsanleitungen und Sicherheitshinweise nicht in der Sprache des Ziellandes verfasst sein könnten; die Produkte (und Begleitmaterialien) könnten nicht im Einklang mit den Standards, Spezifizierungen und Etikettierungsvorgaben des Ziellandes entworfen sein; und die Produkte könnten nicht der Voltzahl und anderen elektrischen Standards des Ziellandes entsprechen (weshalb, falls zutreffend, die Verwendung eines Adapters oder Umwandlers erforderlich sein könnte). Der Empfänger ist dafür verantwortlich sicherzustellen, dass das Produkt legal in das Zielland importiert werden kann. Bei der Bestellung von Ubuy oder seinen Partnern ist der Empfänger der eingetragene Importeur und muss sich an alle Gesetze und Regulierungen des Ziellandes halten.
Nicht alle auf Ubuy aufgeführten Produkte werden zum Verkauf angeboten, da Ubuy eine globale Suchmaschine ist. Produkte unterliegen Export-/Handelsbestimmungen.

€ 51

Bestellen Sie jetzt und erhalten Sie es am Dienstag, Oktober 13

QTY:

Gesicherte Transaktion

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Unsere besten Logistigpartner

Schnellste grenzüberschreitende Lieferung

Merkmale und Vorteile

Unsupervised learning is the next frontier in AI and may hold the key to AGI
Majority of the world's data is unlabeled, making it unsuitable for conventional supervised learning
Unsupervised learning can discover meaningful patterns in unlabeled datasets
The book provides hands-on experience and code examples using Python frameworks
Readers can apply unsupervised learning to uncover hidden patterns, obtain business insight, detect anomalies, and more
Prerequisites include some Python programming experience and familiarity with relevant mathematical concepts

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.

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

€ 51

Fast Shipping

Kostenlose Rücksendung*

Sichere Verpackung

100 % Originalprodukte

PCI DSS-Standards

ISO 27001-zertifiziert

Besondere Merkmale

Produktdetails

Für wen ist das Produkt geeignet?

PRODUKTBESCHREIBUNG

Kundenfragen und -antworten

Intelligence & Semantics Editorial Review

Kundenbewertungen

Bewerten Sie dieses Produkt

Vorteile

Nachteile

Produktpreisverlauf

Wichtige Information

€ 51

Merkmale und Vorteile

Ubuy Assurance

Fast
Shipping

Kostenlose
Rücksendung^*