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.

Je li Hands-On Unsupervised Learning Using Python: How to dostupan za online kupnju u Bosnia and Herzegovina?

Da, na Ubuyu Bosnia and Herzegovina ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Hands-On Unsupervised Learning Using Python: How to nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave.

Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?

Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.

Pogledaj izvornik

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.

Stavka #: 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 Bosnia and Herzegovina?

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% of respondents would recommend this to a friend

Stavka #: 15557360

BAM 111

Price Details

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

^{*All items will import from SAD}

Dostupnost : Na lageru

Uvezeno iz USA trgovine

QTY:

Naručite sada i dobijte ga oko Utorak, Listopad 13

Secured transaction

Our Top Logistics Partners

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

U-Care jamstvo:

Nijedan

Odaberite plan

Fast
Shipping

Free
Return^*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of SAD store (110-120). Recommended power converters Kupi sada.

What Stands Out

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.

Detalji o proizvodu

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)

Who Should Buy?

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.

OPIS PROIZVODA

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

Imate li pitanja? Cavrljajte s nama

Pitanja i odgovori kupaca

pitanje: Kako kupovati Hands-On Unsupervised Learning Using Python: How to online od Ubuya?

odgovor: Jednostavno je kupovati Hands-On Unsupervised Learning Using Python: How to online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju.
pitanje: Je li Hands-On Unsupervised Learning Using Python: How to dostupan za online kupnju u Bosnia and Herzegovina?

odgovor: Da, na Ubuyu Bosnia and Herzegovina ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Hands-On Unsupervised Learning Using Python: How to nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave.
pitanje: Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?

odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.

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.

Customer Reviews & Ratings

5.0

1 ocjene kupaca

5 zvjezdica

100%
4 zvjezdica

0%
3 zvjezdica

0%
2 zvjezdica

0%
1 zvjezdica

0%

Recenzirajte ovaj proizvod

Podijelite svoje misli s drugim kupcima

Pros

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

Protiv

Poor technical explanations

Product Price History

Važne informacije

Ograničenja: imajte na umu da jamstvo možda ne vrijedi za proizvode koji se dostavljaju u inozemstvo; servis možda neće biti dostupan; priručnici proizvoda, upute i sigurnosna upozorenja možda nisu na jeziku zemlje odredišta; proizvodi (i prateći materijali) možda nisu u skladu sa standardima, specifikacijama i zahtjevima za označavanje zemlje odredišta; proizvod možda nije usklađen s naponom struje i drugim električnim standardima (zbog čega će možda trebati adapter ili pretvarač). Primatelj je odgovoran za provjeru može li proizvod prema važećim zakonima biti uvezen u zemlju odredišta. Kad naručujete od Ubuya ili njegovih partnera, primatelj se smatra registriranim uvoznikom i mora se pridržavati svih zakona i propisa zemlje odredišta.
Svi proizvodi navedeni na Ubuyu nisu za prodaju, jer je Ubuy globalna tražilica. Proizvodi podliježu propisima o izvozu i trgovini.

BAM 111

Naručite sada i dobijte ga oko Utorak, Listopad 13

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

Značajke i prednosti

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

BAM 111

Fast Shipping

Free Return*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

Detalji o proizvodu

Who Should Buy?

OPIS PROIZVODA

Pitanja i odgovori kupaca

Intelligence & Semantics Editorial Review

Customer Reviews & Ratings

Recenzirajte ovaj proizvod

Pros

Protiv

Product Price History

Važne informacije

BAM 111

Značajke i prednosti

Ubuy Assurance

Fast
Shipping

Free
Return^*