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50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
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50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new edition
50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
Artigo n.º: 83887564

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software

88% of respondents would recommend this to a friend

Artigo n.º: 83887564

STD 1592965

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Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new edition
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O que se Destaca

Comprehensive Coverage
Offers a wide range of algorithms, from classic to contemporary, providing programmers with essential knowledge across various areas like machine learning and cryptography for tackling diverse challenges.
Practical Application
Focuses on real-world applications of algorithms, enhancing problem-solving skills that are directly applicable to software design and data systems, making it an invaluable resource for developers.
Updated Content
Released in 2023, this book includes the latest advancements in algorithmic techniques, ensuring that programmers stay relevant and competitive in a rapidly evolving tech landscape.

Detalhes do produto

Shop 50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography online at a best price in São Tomé and Príncipe. 1803247762
  • Explore advanced deep learning architectures and modern deep learning techniques
  • Learn different programming algorithms and choose the right data structures
  • Examine linear programming, page ranking, and graph algorithms, as well as machine learning algorithms
  • Understand the math and logic behind deep learning models, including Large Language Models (LLMs) and sequential models
  • Develop skills in applying algorithms for computational problems and implementing parallel processing techniques
  • Designed for programmers seeking to understand and use algorithms for problem-solving and efficient code writing
Publisher Packt Publishing
Publication date 29 Sept. 2023
Edition 2nd
Language English
Print length 538 pages
ISBN-10 1803247762
ISBN-13 978-1803247762
Item weight 912 g
Dimensions 19.05 x 3.1 x 23.5 cm

Quem Deverá Comprar?

Suitable For
  • Aspiring Programmers

    Beginners seeking a comprehensive understanding of algorithms to kickstart their programming career will find this beneficial.

  • Students in CS

    Computer science students needing a solid resource to supplement their coursework and better grasp algorithms concepts.

  • Software Developers

    Experienced developers wanting to refine their skills, explore modern algorithms, and improve their problem-solving capabilities.

Not Suitable For
  • Casual Readers

    Individuals looking for light reading or casual information would find the technical content challenging and unengaging.

DESCRIÇÃO DO PRODUTO

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

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Perguntas e respostas do cliente

  • Pergunta: What topics are covered in this book?

    Resposta: The book covers topics such as neural networks, deep learning, graph algorithms, machine learning applications, natural language processing, recommendation systems, cryptography, and parallel processing techniques.
  • Pergunta: What approach does this book take?

    Resposta: The book strikes a balance between helping readers select and use algorithms to solve real-world problems and explaining the logic behind them for a deeper understanding. It starts with an introduction to algorithms and progresses to more advanced concepts.
  • Pergunta: What is the author's background?

    Resposta: The author has a rich background in cloud computing, AI, and machine learning. They have worked on high-profile projects, taught at Google, and are a visiting professor at Carleton University.

Software Design Editorial Review

Based on the customer feedback, the "50 Algorithms Every Programmer Should Know" book by Imran Ahmad offers a diverse range of opinions and experiences. The book's content and depth seem to provoke mixed feelings among readers. Some customers have described the book positively, highlighting its usefulness for beginners, particularly in explaining complexity and using Python for algorithm implementation. Moreover, the inclusion of modern challenges like hidden bias in data and advanced deep learning architectures has been viewed as enriching and comprehensive. On the other hand, there are criticisms regarding the depth and explanation of certain topics, as well as inConsistencies between code and text, typos, and bad formatting. Some customers feel that the book lacks proper explanations and depth, with particular chapters being described as vague and entry-level. In summary, the book seems to have mixed reception, with some finding it beneficial for beginners and appreciating the enriched content, while others express concerns about the level of coverage and approach to explaining algorithms.

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Prós

  • Enriched discussion on advanced deep learning architectures
  • Useful for beginners in understanding complexity and implementing algorithms in Python
  • Comprehensive coverage of modern challenges such as hidden bias in data

Contras

  • Some chapters are vague and lack depth

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

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Recursos e benefícios

  • Explore modern deep learning techniques
  • Learn about generative AI and large language models
  • Includes new chapters on LSTMs, GRUs, RNNs
  • 50% new edition with updated algorithms
  • Addresses hidden data biases and demystifies algorithm explainability

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