Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
genuine image
Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
By the end of this machine learning book, you'll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.
Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
منتج #: 34827171

Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

90% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 34827171

BHD 27

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من أمريكا

متوفر فى المخزون
أمريكا مستورد من متجر USA
اطلب الآن واحصل عليه حول الثلاثاء, سبتمبر 15
معاملة آمنةمعاملة آمنة

تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
  • aramex
By the end of this machine learning book, you'll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.
كفالة يو كير:
لا شيء
اختر الباقة
fast shipping

شحن
سريع

free return

استرجاع
مجاني*

تغليف آمن

تغليف آمن

منتجات أصلية %100

منتجات أصلية %100

pci-dss

الامتثال لمعيار PCI DSS

iso certified

حاصل على شهادة ISO 27001

paypal payment
visa payment
mastercard payment
benefit payment
Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

مايفيد

Hyperparameter Optimization
Efficiently fine-tune model parameters to achieve optimal performance, reducing time spent on manual adjustments and enhancing predictive accuracy.
Neural Architecture Search
Automated exploration of neural network designs to discover innovative structures, streamlining development and improving model capability without extensive human intervention.
Cloud Integration
Seamlessly leverage cloud platforms for scalable computing power, enabling rapid experimentation and deployment of machine learning models while minimizing IT overhead.

تفاصيل المنتج

Shop Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms online at a best price in البحرين. 1800567685
  • Automate machine learning tasks with AutoML
  • Learn how to optimize hyperparameters and neural architecture
  • Implement AutoML using open source tools or cloud platforms
  • Reduce human errors and save time in machine learning models
  • Make machine learning accessible for all users
  • Increase productivity and minimize feature engineering tasks
Publisher Packt Publishing
Publication date February 18, 2021
Language English
Print length 312 pages
ISBN-10 1800567685
ISBN-13 978-1800567689
Item Weight 1.19 pounds (540 grams)
Dimensions 7.5 x 0.71 x 9.25 inches (19.1 x 1.8 x 23.5 cm)

من يجب أن يشتري؟

Suitable For
  • Data Scientists

    Data scientists can streamline model training processes, saving time and enhancing productivity using automated machine learning features.

  • Organizations with Limited Resources

    Small businesses without extensive ML expertise can use this product to implement machine learning without hiring specialists.

  • Researchers

    Researchers can quickly run experiments, optimizing algorithms and architectures for better performance and faster iterations.

Not Suitable For
  • Beginner Users

    Users lacking basic understanding of machine learning concepts may struggle to effectively leverage the product's capabilities.

وصف المنتج

Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

هل لديك أي استفسار؟ تحدث معنا

أسئلة العملاء & الإجابات

  • سؤال: What is Automated Machine Learning (AutoML) and how does it help in machine learning projects?

    إجابه: Automated Machine Learning (AutoML) refers to the process of automating the end-to-end process of applying machine learning to real-world problems. It simplifies complex processes such as hyperparameter optimization, neural architecture search, and algorithm selection, making machine learning more accessible even to non-experts. For instance, researchers or businesses can deploy AutoML tools to quickly iterate through various models and configurations, ultimately selecting the one that performs best for their specific dataset without needing extensive expertise.
  • سؤال: What is hyperparameter optimization in the context of AutoML?

    إجابه: Hyperparameter optimization involves selecting the best parameters for a machine learning algorithm to enhance its performance. In AutoML, this process is automated, allowing users to explore a vast space of parameters efficiently. By using techniques like grid search or Bayesian optimization, AutoML frameworks can identify optimal settings faster than manual tuning. For example, if a user is working on a neural network for image classification, hyperparameter optimization could significantly improve accuracy by fine-tuning variables such as learning rates and layer counts.
  • سؤال: How does neural architecture search work within automated machine learning frameworks?

    إجابه: Neural architecture search (NAS) automates the design process of neural networks by exploring different architectures and evaluating their performance. Within AutoML frameworks, NAS can identify optimal network structures much faster than hand-designed methods. This is especially beneficial in tasks requiring complex models, such as image and speech recognition. For a data scientist, using NAS can save considerable time and resources while still achieving state-of-the-art results, allowing them to focus on other critical aspects of their projects.
  • سؤال: What are cloud platforms, and how do they support automated machine learning?

    إجابه: Cloud platforms provide scalable resources and tools for running machine learning models and AutoML processes. They support AutoML by offering powerful computing capabilities and access to large datasets without requiring expensive local hardware. For instance, users can leverage services from AWS, Google Cloud, or Microsoft Azure to experiment with different models and algorithms in parallel. This flexibility allows businesses to scale their machine learning efforts quickly, improving project turnaround times and efficiency.
  • سؤال: Who can benefit from using AutoML tools?

    إجابه: AutoML tools are beneficial for a wide range of users, including data scientists, business analysts, and even non-technical users interested in leveraging machine learning. Data scientists can save time in model tuning, while analysts can deploy models without deep expertise. Moreover, businesses can utilize AutoML to quickly develop predictive models that enhance decision-making processes. For example, a retail analyst may use AutoML to forecast customer demand based on historical sales data, ultimately guiding inventory decisions.
  • سؤال: What role does algorithm selection play in automated machine learning?

    إجابه: Algorithm selection in AutoML determines which machine learning algorithm is most suitable for a particular dataset and problem. AutoML frameworks analyze data characteristics and automatically choose the best-performing algorithm, saving users from manual testing. For example, if a data set has non-linear relationships, AutoML may select a random forest or gradient boosting model to best capture those patterns. This automated approach not only accelerates the model development process but also ensures that the most suitable algorithm is utilized for optimal results.
  • سؤال: Can AutoML tools be used for both regression and classification tasks?

    إجابه: Yes, AutoML tools are designed to handle both regression and classification tasks seamlessly. These tools come equipped with algorithms tailored for different tasks, ensuring users can apply the correct models without deep knowledge of the underlying mathematics. For instance, a financial analyst might use AutoML for regression to predict stock prices, while a healthcare researcher may deploy classification models to categorize patient diagnoses. The versatility of AutoML makes it a powerful asset across various industries.
  • سؤال: What are some popular AutoML frameworks available today?

    إجابه: Several popular AutoML frameworks are available, catering to diverse user needs; among the most notable are Google's AutoML, H2O.ai, and DataRobot. Each of these platforms offers unique functionalities and user interfaces that simplify the machine learning model selection process. Users can select a framework based on their project requirements, such as ease of use, integration capabilities, or specific features like neural architecture search. This variety allows users to find the most suitable solution for their machine learning endeavors.
  • سؤال: How can businesses approach integrating AutoML into their existing data workflows?

    إجابه: To integrate AutoML into existing data workflows, businesses should start by identifying key areas where machine learning could add value. Next, selecting an AutoML framework compatible with current data infrastructures is vital. Training staff on the chosen tools will also ensure successful adoption. For example, a marketing department may introduce AutoML for customer segmentation, employing it to refine their targeting strategies by leveraging past customer data. This integration ultimately supports data-driven decision-making throughout the organization.
  • سؤال: Where can I buy Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms in Bahrain?

    إجابه: You can purchase 'Automated Machine Learning: Hyperparameter Optimization, Neural Architecture Search, and Algorithm Selection with Cloud Platforms' from Ubuy. Ubuy offers a user-friendly shopping experience and often stocks a wide selection of books related to machine learning and artificial intelligence. Simply visit their website, search for the book title, and check the available options for your location in Bahrain to make your purchase.

Expert Systems Editorial Review

**** "Automated Machine Learning" serves as an invaluable resource for beginners and intermediate users who are eager to explore the rapidly evolving field of automated machine learning (AutoML). The manuscript exhibits a well-organized approach, delving into both open-source and commercially available AutoML options from major cloud platforms including Azure, AWS, and Google Cloud. It provides a comprehensive overview of the state of the AutoML ecosystem, illustrating its growing relevance in modern AI applications. Readers commend the book for its breadth of knowledge and systematic structure, which covers the essentials of AutoML without diving deeply into the basics of machine learning, Python programming, or cloud environments. This makes it particularly beneficial for those with some foundational understanding who wish to expedite their learning process and automate tedious tasks in their machine learning workflows. Key strengths of the book include its practical, hands-on examples using popular datasets, which provide users concrete instances of how to implement AutoML systems. Furthermore, the inclusion of various frameworks, process flow diagrams, and tables enhance the comparative analysis of different AutoML options, clarifying the complexities of the subject matter. While the book shines in many respects, it is noted that the examples are mostly centered around simpler datasets, and readers would appreciate more challenging use cases to enrich their learning experience. Additionally, the reliance on screenshots, although helpful, poses a challenge as readers voice concern regarding their longevity and potential obsolescence as cloud platforms evolve. Overall, "Automated Machine Learning" is highly recommended for AI practitioners looking to embrace automation in their machine learning processes while providing a thorough exploration of available tools and frameworks. **

مراجعات العملاء وتقييماتهم

1 تقييمات العملاء
  • 5 نجمة
    100%
  • 4 نجمة
    0%
  • 3 نجمة
    0%
  • 2 نجمة
    0%
  • 1 نجمة
    0%

أضف تقييم لهذا المنتج

شارك أفكارك مع عملاء آخرين

إيجابيات

  • Comprehensive overview of AutoML options across major cloud platforms and open-source systems.
  • Well-structured approach that aids beginners in grasping complex concepts.
  • Hands-on examples with practical applications using popular datasets.
  • Visual aids enhance understanding and facilitate comparison of AutoML options.
  • Engaging writing style with humorous elements makes for enjoyable reading.

سلبيات

  • Focus on simpler datasets may limit exposure to more complex use cases.

منصة موثوقة وثقة كاملة للمشتري

trustpilot logo
4.6/5 148 التقييمات
اطّلع على التقييمات
MB
Maryam
مشتري موثّق

“The order arrived fast and in perfect condition”

2 June 2026 · عبر Trustpilot
T
trusttaker
مشتري موثّق

“I loved it. That was my second order, and I am already thinking of placing a third order.”

16-Jul-26 · عبر Trustpilot
HA
Haitham
مشتري موثّق

“Trusted merchant”

11 July 2026 · عبر Trustpilot
MA
Mohammad
مشتري موثّق

“Excellent quality and very fast delivery, I really appreciate your service, when you work good I will appreciate that, I am very satisfied , thank you”

13 June 2026 · عبر Trustpilot
LA
Lulwa
مشتري موثّق

“I like the package arrived safely”

17 June 2026 · عبر Trustpilot
الخروج الآمن شحن عالمي إسترجاع سهل منتجات أصلية

تاريخ سعر المنتج

معلومات مهمة

  • القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
  • ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

BHD 27

اطلب الآن واحصل عليه حول الثلاثاء, سبتمبر 15

كمية:

معاملة آمنةمعاملة آمنة

نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
  • aramex
أسرع توصيل عبر الحدود

المميزات والفوائد

  • Learn AutoML using OSS, Azure, AWS, GCP, or any platform of your choice
  • Reduce human errors in machine learning models
  • Make machine learning accessible for all users to promote decentralized processes
  • Implement AutoML in enterprise cloud to deploy ML models and pipelines
  • Automate data science modeling tasks to implement ML solutions easily and focus on more complex problems
  • Requires beginner-level knowledge of building ML models

ضمان Ubuy

تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.