Makine Öğrenmesi: Teorik Yönleri ve Pyhton Uygulamaları İle Bir Yapay Zeka Ekolü
€ 17
Hintatiedot
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from TR
Määrä:
Ubuy tekee kovasti töitä turvallisuutesi ja yksityisyytesi suojaamiseksi. Kehittynyt maksun turvallisuusjärjestelmämme varmistaa luottamuksellisuuden salaamalla tietosi siirron aikana AES (Advanced Encryption Standards)- ja SSL (Secure Socket Layer) -protokollilla. Maksutietosi ovat 100 % turvassa, sillä emme jaa maksutietojasi kolmansien osapuolten myyjille.
Learning the basic information in this book will enable people who want to develop applications with Deep Learning, a subfield of machine learning, to create an important infrastructure.
Osta nyt, maksa myöhemmin
Fast
Shipping
Ilmainen
palautus*
Pakattu turvallisesti
100-prosenttisesti alkuperäistuotteita
PCI DSS Compliance
ISO 27001 Certified
Mikä erottuu joukosta
Tuotteen yksityiskohdat
- Yapay zekanın bir alt alanı olarak ifade edilen makine öğrenmesi mühendislik, finans ve biyoinformatik'in başı çektiği birçok alanda yaygın olarak kullanılmaktadır. Makine öğrenmesi uygulamaları geliştirmek için temelinde kalkülüs, doğrusal cebir ve istatistik barındıran bazı algoritmaların teorik olarak kavranması önemlidir. Bu algoritmaların teorik yönleri öğrenildikten sonra Python gibi kolay ve zengin kütüphane yapısına sahip bir programlama dili ile kodlanarak uygulama geliştirilebilir. Kitaptaki makine öğrenmesi algoritmalarının teorik yönleri titizlikle irdelenmiş, gerek duyulan doğrusal cebir ve istatistik konuları da özet olarak incelenmiştir. Özgün veri setleri içeren problemler kullanılarak her algoritma için Python uygulamaları geliştirilmiştir. Makine öğrenmesinin bir alt alanı olan Derin Öğrenme ile uygulama geliştirmek isteyen kişilerin de özellikle bu kitaptaki temel bilgileri öğrenmesi önemli bir alt yapı oluşturmalarını sağlayacaktır. Bu kitabı okuduktan sonra derin öğrenme mimarilerinin anlaşılması daha kolay olacaktır.Bu kitap kimler içindir?• Makine Öğrenmesi uygulaması geliştirmeye başlamak isteyen ancak nereden başlaması gerektiğini tam olarak bilmeyenler• Halihazırda Makine öğrenmesi uygulamaları geliştirenler• Fen, Mühendislik ve Sosyal Bilimler alanlarında Makine Öğrenmesi içeren tezler hazırlayanlar ve bilimsel çalışmalar yapanlarPython ve Gerekli Kurulumlar NumPy, Pandas ve Matplotlib Kütüphanelerinin Kullanımı Öğrenme Türleri Makine Öğrenmesinde Uygulama Geliştirme Süreçleri Python ile Veri Ön İşleme Süreci Doğrusal Regresyon Polinom Regresyon Çoklu Doğrusal Regresyon K-En Yakın Komşu Algoritması Naive Bayes Algoritması Lojistik Regresyon Yapay Sinir Ağları Destek Vektör Makinaları Daha fazla göster
| Publishers | Nobel Academic Publishing |
| Date of publication | March 4, 2020 |
| Prints | 3. |
| Kieli | Turkish |
| Tulostuksen pituus | 312 pages |
| ISBN-10 | 6050331766 |
| ISBN-13 | 978-6050331769 |
| mitat | 15 x 2 x 21.5 cm |
TUOTEKUVAUS.
Asiakkaiden kysymykset ja vastaukset
-
kysymys:
Who is this book intended for?
vastaus: It's designed for beginners starting in Machine Learning and those currently developing applications or preparing theses in related fields. -
kysymys:
What programming language is primarily used in this book?
vastaus: The book primarily uses Python, along with libraries such as NumPy, Pandas, and Matplotlib. -
kysymys:
What topics are essential covered in this book?
vastaus: It covers theoretical aspects of algorithms, data processing, and several application development processes in Machine Learning.
Sinan Uğuz Format: Kağıt Kapak Editorial Review
The book "Machine Learning: A School of Artificial Intelligence with Its Theoretical Aspects and Python Applications" has garnered a mixed reception among readers, particularly regarding its suitability for different experience levels in machine learning. Users have appreciated the author's clear and straightforward writing style, making it accessible to those with intermediate knowledge of the subject. However, several reviewers pointed out that the content may be overwhelming for complete beginners, emphasizing that a basic understanding of the topic is essential to fully benefit from the material. While the book offers valuable resources for advancing in the field, some users noted that it occasionally includes basic topics that they found easily available online. These sections detracted from the overall depth of the book, suggesting that the text could be more focused on providing advanced insights rather than covering elementary concepts. Overall, the book is recommended for those looking to enhance their existing knowledge of machine learning but may be of limited use for readers starting from scratch. ###
Asiakkaiden arvostelut ja arvosanat
-
5 tähteä
62%
-
4 tähteä
21%
-
3 tähteä
11%
-
2 tähteä
0%
-
1 tähteä
6%
Arvostele tämä tuote
Jaa ajatuksesi muille asiakkaille
Plussat
- Clear, straightforward writing style.
- Suitable for intermediate readers looking to advance in machine learning.
- Contains practical applications. ###
Miinukset
- May be too challenging for complete beginners.
LUOTTAMUS JA OSTAJAN TURVA
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”
“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”
Liittyvät tuotteet
Tuotteen hintahistoria
Tärkeitä tietoja
- Rajoitukset: Kansainvälisesti toimitettujen tuotteiden kohdalla tulee ottaa huomioon, ettei valmistajan takuu välttämättä ole voimassa, etteivät valmistajan huoltovaihtoehdot välttämättä ole käytettävissä, etteivät tuotteen ohjekirjat, oppaat ja turvallisuusvaroitukset välttämättä ole kohdemaan kielellä, ettei tuotteita (ja niiden oheismateriaalia) ole välttämättä suunniteltu vastaamaan kohdemaan standardeja, teknisiä tietoja ja merkintävaatimuksia ja etteivät tuotteet välttämättä vastaa kohdemaan jännitettä ja muita sähköstandardeja (jolloin ne saattavat tarvittaessa vaatia sovittimen tai muuntimen käyttöä). Vastaanottaja on vastuussa sen varmistamisesta, että tuote voidaan toimittaa kohdemaahan laillisesti. Kun vastaanottaja tekee tilauksen Ubuysta tai sen kumppanuusyhtiöiltä, hän on myös rekisteröity maahantuoja ja hänen tulee noudattaa kaikkia kohdemaan lakeja ja säädöksiä.
- Kaikki Ubuyssa listatut tuotteet eivät ole myytävänä, koska Ubuy on maailmanlaajuinen hakukone. Tuotteisiin kohdistuu vienti- ja myyntisäännöksiä.
€ 17
Tilaa nyt ja saat sen noin Lauantai, Elokuu 15
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
Määrä:
PCI DSS -yhteensopiva ja ISO 27001:2022 -sertifioitu, salatut maksut ja täysi ostajansuoja jokaisella tilauksella.
Ominaisuudet ja hyödyt
- Comprehensive guide to Machine Learning and Deep Learning.
- Covers theoretical aspects vital for understanding algorithms.
- Practical applications developed using Python's rich libraries.
- Perfect for both beginners and those currently developing applications.
- Includes topics from linear algebra and statistics for foundational knowledge.
- Enhances the ability to understand deep learning architectures.
Ubuy-takuu
Nauti huolettomasta ostoskokemuksesta: 100 % alkuperäisiä tuotteita, PCI DSS -yhteensopiva maksuturvallisuus, ISO 27001 -sertifioitu tietosuoja, nopein rajat ylittävä toimitus, ilmaiset palautukset ja turvallinen pakkaus jokaisella tilauksella.
