Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems
genuine image
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems
Learn how to develop and operate batch, real-time, and agentic ML systems with a practical guide to building a unified feature store.
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems
Articol nr.: 132343792

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

86% din respondenți l-ar recomanda unui prieten

Articol nr.: 132343792

RON 289

Detalii preț

Excluzând taxele de transport și vamale ( Taxele de transport și vamale vor fi calculate la finalizarea comenzii )

*Toate articolele vor fi importate din SUA

În stoc
SUA Importat din USA

Cant.:

Doar 4 articole rămase în stoc.
Comandați acum și primiți Sâmbătă, Octombrie 10
Tranzacție securizatăTranzacție securizată

Ubuy depune eforturi pentru a vă proteja securitatea și confidențialitatea. Sistemul nostru avansat de securitate a plăților asigură confidențialitatea prin criptarea informațiilor dvs. în timpul transmisiei folosind protocoalele AES (Advanced Encryption Standards) și SSL (Secure Socket Layer). Detaliile dvs. de plată sunt 100% sigure, deoarece nu partajăm datele dvs. de plată cu vânzători terți.

Partenerii noștri principali de logistică
  • fedex
  • dhl
Learn how to develop and operate batch, real-time, and agentic ML systems with a practical guide to building a unified feature store.
Afișați mai multe
Garanție U-Care:
Niciunul
Selectați un plan
fast shipping

Fast
Shipping

free return

Retur
gratuit*

Ambalaj sigur

Ambalaj sigur

Produse originale 100%

Produse originale 100%

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 SUA store (110-120). Recommended power converters Cumpărați Acum.

Ce Iese în evidență

Comprehensive Approach
Integrates batch, real-time, and large language models for a holistic machine learning architecture, empowering users to streamline workflows and enhance model accuracy across various applications.
Feature Store Utilization
Utilizes a feature store to manage and share data features efficiently, reducing redundancy and improving collaboration among teams, leading to faster deployment of machine learning models.
Scalability Options
Offers scalable solutions suitable for different project sizes, ensuring flexibility for development teams to adapt to varying data loads and complexities, thereby optimizing resources and cost-efficiency.

Detalii produs

Shop Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems online at a best price in România. 1098165233
  • Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop and operate batch, real-time, and agentic ML systems.Author Jim Dowling introduces fundamental principles and practices for developing, testing, and operating ML and AI systems at scale. You'll see how any AI system can be decomposed into independent feature, training, and inference pipelines connected by a shared data layer. Through example ML systems, you'll tackle the hardest part of ML systems--the data, learning how to transform data into features and embeddings, and how to design a data model for AI.Develop batch ML systems at any scaleDevelop real-time ML systems by shifting left or shifting right feature computationDevelop agentic ML systems that use LLMs, tools, and retrieval-augmented generationUnderstand and apply MLOps principles when developing and operating ML systems
Publisher O'Reilly Media
Publication date December 16, 2025
Edition 1st
Language English
Print length 506 pages
ISBN-10 1098165233
ISBN-13 978-1098165239
Item Weight 1.88 pounds (850 grams)
Dimensions 7 x 2 x 9.19 inches (17.8 x 5.1 x 23.3 cm)

DESCRIEREA PRODUSULUI

Aveți întrebări? Discutați cu noi

Întrebări și răspunsuri ale clienților

  • Întrebare: What is a feature store and why is it important in machine learning?

    Răspuns: A feature store is a centralized repository that stores, manages, and serves features used by machine learning models. It's crucial because it ensures consistency in feature usage across different models and deployments, allowing data scientists to reuse features rather than recalculating them. This optimizes workflows and promotes collaboration, enabling teams to work more efficiently. For instance, a retail company can easily access customer features to personalize recommendations across various applications.
  • Întrebare: How does batch processing differ from real-time processing in machine learning systems?

    Răspuns: Batch processing involves processing large volumes of data at once, typically on a schedule, making it ideal for scenarios where immediate results aren't critical. In contrast, real-time processing analyzes data in real-time, enabling instant insights and actions. For example, an e-commerce platform might use batch processing for weekly sales reports, while utilizing real-time processing for fraud detection during transactions. Both methods have their roles in building efficient machine learning systems.
  • Întrebare: What are LLM systems and how do they enhance machine learning applications?

    Răspuns: LLM, or Large Language Model systems, are advanced NLP models designed to understand and generate human-like text. They enhance machine learning applications by providing capabilities such as sentiment analysis, chatbots, and content generation. For instance, businesses employ LLM systems to automate customer support—reducing wait times and improving user engagement. Their ability to process and analyze vast textual datasets leads to valuable insights, making them vital components in modern AI strategies.
  • Întrebare: Can I implement a feature store without extensive technical expertise?

    Răspuns: Yes, many feature stores come equipped with user-friendly interfaces and tools that simplify implementation, requiring minimal technical expertise. Solutions often include robust documentation, tutorials, and community support for users. Furthermore, platforms like Apache Hudi or Feast are designed to facilitate easy integration into existing workflows, allowing users to focus on building and optimizing features without getting bogged down in complex setups. This makes a feature store accessible for companies of all sizes.
  • Întrebare: Are there specific industries that benefit more from machine learning systems with feature stores?

    Răspuns: Absolutely, industries such as finance, healthcare, and retail significantly benefit from machine learning systems with feature stores. In finance, firms can streamline risk assessment and fraud detection by accessing consistent feature sets. In healthcare, accurate patient outcomes can be achieved by integrating vast medical histories seamlessly. Retailers can enhance customer experience by personalizing offers based on a unified view of customer data. The versatility makes feature stores applicable across various fields, optimizing operations and enhancing decision-making.
  • Întrebare: How does data consistency impact machine learning model performance?

    Răspuns: Data consistency is critical for machine learning model performance, as it ensures that models are trained and validated on the same feature sets. Inconsistent features can lead to inaccurate predictions and reduced reliability, ultimately affecting business outcomes. For example, if customer data is updated without being reflected in the model, it could generate misleading results. A feature store helps maintain this consistency, ensuring all teams work from the same data foundation, thus enhancing overall model accuracy and trustworthiness.
  • Întrebare: What is feature engineering and how does it relate to a feature store?

    Răspuns: Feature engineering is the process of selecting, modifying, or creating new features to improve model performance. It is closely related to a feature store, which enables streamlined access to these engineered features. By centrally managing features, data scientists can quickly leverage them while experimenting with various models. For instance, a company may use engineered time-based features to optimize demand forecasting models, improving the accuracy of their inventory management. This synergy can lead to more effective and efficient model training.
  • Întrebare: How can I evaluate the success of a machine learning model in production?

    Răspuns: Evaluating the success of a machine learning model in production involves monitoring key performance metrics such as accuracy, recall, precision, and F1 score. Continuous monitoring is vital as it helps identify drifts in data or performance, which may necessitate model updates. In real-world applications, organizations often utilize dashboards that track these metrics alongside user behavior metrics, enabling quick iterations. Consistent evaluation ensures models remain effective and provide value over time.
  • Întrebare: What role does version control play in machine learning projects?

    Răspuns: Version control is essential in machine learning projects as it manages changes to data, code, and models over time. It helps teams track modifications, experiment safely, and collaborate effectively. By using version control systems, teams can revert to previous models or datasets if new updates result in performance degradation. Tools like Git can integrate into machine learning workflows, making it easier to maintain consistency and transparency, especially in collaborative environments, fostering smoother project management.
  • Întrebare: Where can I buy Building Machine Learning Systems With A Feature Store: Batch, Real-Time, And LLM Systems in Romania?

    Răspuns: You can purchase 'Building Machine Learning Systems With A Feature Store: Batch, Real-Time, And LLM Systems' on Ubuy. Ubuy offers a wide selection of books and resources related to machine learning, allowing you to explore and enhance your understanding of these systems. With user-friendly navigation and a commitment to customer satisfaction, Ubuy makes it convenient to find and order the books you need right from your location in Romania.

Expert Systems Editorial Review

Nu s-au găsit recenzii editoriale

Recenziile și evaluările clienților

3 evaluări ale clienților
  • 5 stele
    63%
  • 4 stele
    37%
  • 3 stele
    0%
  • 2 stele
    0%
  • 1 stele
    0%

Faceți o recenzie pentru acest produs

Împărtășiți-vă părerea cu alți clienți

ÎNCREDERE ÎN PLATFORMĂ ȘI SIGURANȚA CUMPĂRĂTORULUI

trustpilot logo
4.2/5 9477 recenzii
Citește recenziile
JK
Jasmin
Cumpărător verificat

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Cumpărător verificat

“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
Cumpărător verificat

“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
Cumpărător verificat

“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
Cumpărător verificat

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Checkout securizat Livrare internațională Returnări ușoare Produse originale

Istoricul prețului produsului

Important

  • Limitări: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
  • Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.

RON 289

Comandați acum și primiți Sâmbătă, Octombrie 10

Cant.:

Doar 4 articole rămase în stoc.
Tranzacție securizatăTranzacție securizată

Conform PCI DSS și certificat ISO 27001:2022, cu plăți criptate și protecție completă a cumpărătorului la fiecare comandă.

Partenerii noștri principali de logistică
  • fedex
  • dhl
Cea mai rapidă livrare internațională

Caracteristici și avantaje

  • Master the new unified approach to building ML systems.
  • Gain practical knowledge for data scientists and ML engineers.
  • Develop and operate scalable batch ML systems.
  • Implement real-time ML systems with cutting-edge techniques.
  • Leverage agentic ML systems using LLMs and retrieval-augmented generation.
  • Understand MLOps principles to enhance ML operations.

Asigurare Ubuy

Bucură-te de o experiență de cumpărare fără griji, cu produse 100% originale, securitate a plăților conformă cu standardul PCI DSS, protecție a datelor certificată ISO 27001, cea mai rapidă livrare internațională, retururi gratuite și ambalare securizată pentru fiecare comandă.*