- Home Page /
- Books /
- Computers & Technology /
- Computer Science /
- AI & Machine Learning /
- Neural Networks /
- Applied Machine Learning Solutions with Pytho...

A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. The book discusses how to apply machine learning to real-world problems by utilizing real-world data, while covering popular techniques, comprehensive tools, and numerous machine learning libraries.
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques English
€ 27
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.
A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. The book discusses how to apply machine learning to real-world problems by utilizing real-world data, while covering popular techniques, comprehensive tools, and numerous machine learning libraries.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Product Details
- Addresses industrial machine learning issues with expert-chosen methods and frameworks
- Covers popular techniques for problem formulation, data collection, and data cleaning
- Includes useful machine learning tools like MLFlow and Streamlit
- Features machine learning libraries such as Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy
- Discusses real-world machine learning application with data investigation, pipelines, and examples
- Recommended for beginners in machine learning, software engineers, and students desiring production-ready ML systems
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners looking to build practical machine learning skills through hands-on projects and guided examples.
-
Intermediate Python Users
Great for users with Python knowledge who want to expand into machine learning with practical applications.
-
Industry Professionals
Beneficial for professionals in data-dependent fields who need to implement machine learning solutions effectively.
-
Complete Beginners
Not suitable for those who lack basic programming and machine learning knowledge as it assumes prior experience.
-
Non-Technical Users
Users without a technical background may find the content too complex and challenging to comprehend.
-
Casual Learners
Not ideal for those seeking a light introduction; the book is intensive and project-focused.
Product Description
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques English Edition
Customer Questions & Answers
-
Question:
What is 'Applied Machine Learning Solutions with Python' about?
Answer: This book serves as a comprehensive guide to implementing machine learning projects using Python. It covers practical applications by leveraging cutting-edge libraries like TensorFlow and scikit-learn. Readers will learn to develop production-ready solutions that address real-world data challenges. This is particularly beneficial for software engineers, data scientists, and even enthusiasts looking to enhance their skills with practical, project-based knowledge. -
Question:
Who is the target audience for this book?
Answer: The book is suited for a range of audiences, including data scientists, software engineers, and machine learning practitioners. It is ideal for individuals who have a basic understanding of Python and wish to dive deeper into applied machine learning. By focusing on practical applications and projects, it caters to both professionals seeking to polish their skills and students aiming for hands-on experience in real-world scenarios. -
Question:
What libraries and tools are covered in the book?
Answer: The book introduces powerful libraries such as TensorFlow, Keras, and scikit-learn, among others. These libraries provide robust frameworks for building machine learning models efficiently. Additionally, readers will explore tools for data preprocessing, model evaluation, and deployment strategies to ensure their projects are not only functional but also production-ready, making the learning process highly applicable. -
Question:
Can beginners understand the concepts presented in this book?
Answer: While the book is tailored for those with a foundational knowledge of Python, it is written in a manner that is accessible to motivated beginners. It gradually introduces complex concepts and solidifies understanding with practical projects. This hands-on approach encourages readers to experiment and apply what they learn, making it a suitable stepping stone for anyone eager to delve into machine learning. -
Question:
What types of projects can I expect to find in the book?
Answer: The book includes a variety of projects that cater to different machine learning applications, such as classification, regression, and clustering tasks. Each project is designed to tackle specific challenges, allowing readers to apply theoretical knowledge to tangible data problems. This project-oriented format not only solidifies learning but also builds a diverse portfolio, showcasing practical skills to potential employers. -
Question:
Does the book address model deployment techniques?
Answer: Yes, one of the key focuses of the book is on deploying machine learning models into production. It discusses best practices for integrating models into applications and how to maintain and update them post-deployment. This is crucial for anyone looking to convert their data science projects into robust, real-world applications that can be utilized by businesses and consumers alike. -
Question:
What statistical techniques are highlighted in the book?
Answer: The book emphasizes various powerful statistical techniques, including regression analysis, hypothesis testing, and Bayesian methods. These techniques are fundamental to understanding the underlying data characteristics and creating models that provide meaningful insights. By integrating these statistical methods with machine learning practices, readers can develop more accurate predictive models that are grounded in sound analysis. -
Question:
Is there a digital version of this book available?
Answer: Yes, the book is often available in both digital and print formats. The digital version can be a convenient option for readers who prefer to access the content through e-readers or tablets. This format also facilitates easy searching and highlighting, enhancing the learning experience as readers can quickly refer back to key concepts and examples during their project work. -
Question:
How can I apply the knowledge from this book in my career?
Answer: Applying the knowledge gained from this book can significantly enhance your career prospects in various technology-driven fields. The practical skills developed through the projects make you more valuable to employers who seek candidates proficient in machine learning and data analysis. This knowledge can lead to roles such as data scientist, machine learning engineer, or business analyst, where you'll drive data-driven decision-making. -
Question:
Where can I buy 'Applied Machine Learning Solutions with Python'?
Answer: You can purchase 'Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques' from Ubuy in Slovenia. Ubuy offers a reliable platform to acquire this informative book, allowing you to explore the cutting-edge insights of applied machine learning effectively.
Neural Networks Editorial Review
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
Platform Trust & Buyer Confidence
“The product received very good packaging & safe…Thank You”
“Accurate delivery timing given”
“Not madly expensive like I thought, and much quicker than promised.”
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
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.
€ 27
Order now and get it around Friday, July 24
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
- Real-world problem solving using machine learning with real-world data
- Popular techniques, comprehensive tools, numerous ML libraries covered
- Problem formulation, data collection, data cleaning, model building, fine-tuning, deployment guidelines
- Use cases for data analytics, computer vision, natural language processing
- Suitable for beginners in ML, software engineers, and students
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.