Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition
genuine image
Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition
Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data.
Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition
Artikelnr.: 15847279

Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition

Artikelnr.: 15847279

€ 33

Price Details

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

*All items will import from USA

Auf Lager
USA Vom USA Store für Sie importiert

QTY:

Dieses Produkt wird nicht von Ubuy ausgeführt und die Lieferung kann mindestens 10 Tage dauern. Wir könnten das Produkt aus der Bestellung stornieren und Ihnen den Kaufpreis zurückerstatten, falls bei der Lieferung dieses Produktes ein Problem auftritt.
Gesicherte TransaktionGesicherte Transaktion

Ubuy ist bestrebt, Ihre Sicherheit und Privatsphäre zu schützen. Unser fortschrittliches Zahlungssicherheitssystem gewährleistet Vertraulichkeit, indem Ihre Daten während der Übertragung mit AES (Advanced Encryption Standards) und SSL (Secure Socket Layer) Protokollen verschlüsselt werden. Ihre Zahlungsdaten sind 100% sicher, da wir Ihre Zahlungsdaten nicht an Drittanbieter weitergeben.

Unsere besten Logistigpartner
  • fedex
  • dhl
Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data.
U-Care-Garantie:
Keine
Wählen Sie einen Plan aus
buy now pay later

Jetzt Kaufen, Später Bezahlen

fast shipping

Fast
Shipping

free return

Kostenlose
Rücksendung*

Sichere Verpackung

Sichere Verpackung

100 % Originalprodukte

100 % Originalprodukte

pci-dss

PCI DSS-Standards

iso certified

ISO 27001-zertifiziert

paypal payment
visa payment
mastercard payment
sepa direct debit payment
sofort payment
klarna payment
Note: Step Down Voltage Transformer required for using electronics products of USA store (110-120). Recommended power converters Jetzt kaufen.

Besondere Merkmale

Concise Guidance
Offers clear, compact information on machine learning techniques, making it accessible for both beginners and seasoned practitioners seeking quick insights without wading through dense texts.
Practical Examples
Includes practical examples utilizing structured data in Python, enabling users to apply learning directly to real-world scenarios and enhance their programming skills effectively.
Targeted Audience
Designed specifically for data scientists and developers, addressing their unique challenges in machine learning, thus promoting efficient and targeted learning experiences.

Produktdetails

Discover the power of Machine Learning with our 1st Edition Machine Learning Pocket Reference. Get hands-on experience working with structured data in Python. Shop now at Ubuy Germany.
  • Handy reference for navigating the basics of structured machine learning
  • Authored by Matt Harrison, ideal for programmers, data scientists, and AI engineers
  • Covers classification, cleaning data, exploratory data analysis, preprocessing steps, feature selection, and model selection
  • Includes regression examples, clustering, dimensionality reduction, and Scikit-learn pipelines
  • Provides valuable guide for additional support during training and machine learning projects
  • Contains detailed notes, tables, and examples for practical application
Item Weight1.5 lbs (680 grams)

Für wen ist das Produkt geeignet?

Suitable For
  • Data Scientists

    Provides concise guidance on handling structured data, quick reference for core machine learning concepts and Python applications.

  • Students

    Ideal for learners seeking a compact resource to assist with machine learning coursework and practical exercises in Python.

  • Developers

    Great for software developers looking to incorporate machine learning into their applications without deep theoretical knowledge.

Not Suitable For
  • Beginners

    May be overwhelming for those with no prior knowledge of programming or machine learning concepts and techniques.

  • Theoretical Researchers

    Focuses on practical applications and may lack the depth needed for advanced theoretical machine learning studies.

  • Non-Python Users

    Unsuitable for individuals not using Python or those requiring resources for different programming languages in machine learning.

PRODUKTBESCHREIBUNG

Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition

About This Item

Introducing the Machine Learning Pocket Reference: Working with Structured Data in Python, 1st Edition. Whether you're a seasoned data scientist or just starting out in Python programming, this pocket guide is your essential companion for all your machine learning needs. Structured data is the backbone of any machine learning project, and this reference book is specifically designed to help you navigate through the intricacies of working with structured data in Python. Packed with practical examples and step-by-step guidance, it will empower you to effectively analyze and manipulate your data to extract meaningful insights. This 1st Edition is tailored for Python enthusiasts of all levels.

Beginners will appreciate the clear explanations and comprehensive coverage of foundational Python concepts, while experienced programmers will find value in the advanced techniques and Python best practices discussed throughout the book. The Machine Learning Pocket Reference covers a wide range of topics, including data analysis, data visualization, Python libraries, algorithms, and machine learning techniques. It also dives into the application of Python in fields such as finance, artificial intelligence, natural language processing, and data analytics. With this pocket guide by your side, you'll have quick access to fundamental Python functions, code snippets, and helpful tips that will accelerate your productivity and streamline your workflow. The concise yet informative format makes it easy to find the information you need on the go, without overwhelming you with unnecessary details. No matter if you're developing machine learning models, building data-driven applications, or conducting research in the field of data science, the Machine Learning Pocket Reference is a must-have resource for any Python developer or data enthusiast. Don't miss out on this valuable tool for mastering structured data in Python.

Order your copy of the Machine Learning Pocket Reference today and take your machine learning skills to the next level.

Haben Sie eine Frage? Mit uns chatten

Kunden Fragen und Antworten

  • Frage: Who is the target audience for this book?

    Antworten: This book is ideal for programmers, data scientists, and AI engineers.
  • Frage: What topics are covered in this book?

    Antworten: This book covers classification, cleaning data, exploratory data analysis, preprocessing steps, model selection, regression, clustering, dimensionality reduction, and scikit-learn pipelines.
  • Frage: Is this book suitable for beginners?

    Antworten: Yes, this book is suitable for beginners as it provides a detailed overview of the machine learning process and walks readers through various topics.

Intelligence & Semantics Editorial Review

Machine Learning Pocket Reference: Working with Structured Data in Python 1st Edition offers a valuable compendium for individuals already familiar with machine learning and seeking a comprehensive reference guide. The book's emphasis on practical implications and examples makes it a handy tool for data science projects. It provides concise segments on individual topics, facilitating quick access to information and example code for processing structured data. Additionally, it introduces readers to various Python libraries commonly used in data science, such as Yellowbrick and Shapley. The reference offers an overview of classic ML techniques, including data cleansing, quality metrics, and visualization. Nevertheless, some readers have expressed dissatisfaction with the book's production quality, citing unreadable graphs and concerns about the binding. Despite being a valuable companion for experienced individuals working with smaller datasets, the reference does not offer in-depth academic insights into ML techniques, and it is not intended to serve as a primary learning resource for beginners in the field.

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

  • Valuable as a quick reference for individuals with foundational data science/ML knowledge and some Python proficiency
  • Offers concise code samples and practical examples for traditional classification and regression problems
  • Introduces readers to various Python libraries commonly used in the data science field
  • Well segmented into individual topics, making it easy to locate specific information

Nachteile

  • Unreadable graphs and concerns about the binding have been noted

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.

€ 33

Dieses Produkt wird nicht von Ubuy ausgeführt und die Lieferung kann mindestens 10 Tage dauern. Wir könnten das Produkt aus der Bestellung stornieren und Ihnen den Kaufpreis zurückerstatten, falls bei der Lieferung dieses Produktes ein Problem auftritt.

QTY:

Gesicherte TransaktionGesicherte Transaktion

Ubuy ist bestrebt, Ihre Sicherheit und Privatsphäre zu schützen. Unser fortschrittliches Zahlungssicherheitssystem gewährleistet Vertraulichkeit, indem Ihre Daten während der Übertragung mit AES (Advanced Encryption Standards) und SSL (Secure Socket Layer) Protokollen verschlüsselt werden. Ihre Zahlungsdaten sind 100% sicher, da wir Ihre Zahlungsdaten nicht an Drittanbieter weitergeben.

Unsere besten Logistigpartner
  • fedex
  • dhl
Schnellste grenzüberschreitende Lieferung