Machine Learning: An Applied Mathematics Introduction, (Paperback)
94% of respondents would recommend this to a friend
€ 28
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Product Details
- Covers essential mathematics behind topics like K Nearest Neighbours, K Means Clustering, Naïve Bayes Classifier, and more
- Includes real-world examples from fields such as finance, economics, politics, biology, sociology, gambling, and business
- Authored by Paul Wilmott, who brings three decades of experience in mathematics education
- Designed as an accessible introduction for those seeking to understand the foundations of machine learning
- Offers a practical approach for readers who want to grasp the core concepts efficiently
- Presents an inimitable style of teaching to make the subject engaging and comprehensible
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | May, 2019 |
| Pages | 242 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Panda Ohana Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Math & Counting |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.51 x 9.21 in (15.6 x 1.3 x 23.4 cm) |
| Assembled product weight | 0.76 lb (340 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
-
Mathematics Students
Ideal for those studying applied mathematics, providing a solid foundation for understanding machine learning concepts.
-
Data Science Beginners
Perfect for newcomers to data science who need to grasp mathematical principles underpinning machine learning techniques.
-
Professionals in Tech
Beneficial for tech professionals seeking to enhance their skills in machine learning through an applied mathematics lens.
-
Complete Beginners
Not suitable for individuals with no prior knowledge of mathematics or machine learning concepts.
Product Description
Machine Learning: An Applied Mathematics Introduction, (Paperback)
Customer Questions & Answers
-
Question:
How to Shop Machine Learning: An Applied Mathematics Online From Ubuy?
Answer: It’s easy to shop Machine Learning: An Applied Mathematics online from Ubuy. You just have to search for the product, choose your shipping method while checking out and get it delivered to your location. -
Question:
Is Machine Learning: An Applied Mathematics Available to Shop Online in Latvia?
Answer: Yes, at Ubuy Latvia this product is available for you to shop at a reasonable price. The Machine Learning: An Applied Mathematics is not available locally but you can trust us with our express shipping services. -
Question:
How Long Does It Take to Get Product After Placing the Order?
Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.
Paul Wilmott All Books Editorial Review
Machine Learning: An Applied Mathematics Introduction (Paperback) is a comprehensive guide that delves into the mathematical foundations crucial for understanding machine learning concepts. This non-fiction textbook, published in May 2019, spans 242 pages, making it an excellent resource for learners at a general educational level. With a perfect binding format, it's designed for easy handling during study sessions. The book adeptly bridges the gap between mathematics and its application in machine learning, marking it as an essential read. Readers can expect a thorough exploration of math and counting essential for grasping machine learning algorithms and techniques.
Customer Reviews & Ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Accessible for general educational levels
- Covers essential mathematical concepts
- Well-structured for easy comprehension
- Perfect binding ensures durability
- Lightweight and portable format
Cons
- May lack advanced topics for experienced learners
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
€ 28
Order now and get it around Tuesday, September 22
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.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Features & Benefits
- K Nearest Neighbours
- K Means Clustering
- Naive Bayes Classifier
- Regression Methods
- Support Vector Machines
- Self-Organizing Maps
- Decision Trees
- Neural Networks
- Reinforcement Learning
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.