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Machine Learning Essentials You Always Wanted to Know: A Hands-On Beginners Guide to Mastering AI, Supervised, Unsupervised, and Deep Learning
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Master the fundamentals of ML and take the first step towards a career in AI!
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Product Details
| Publisher | Vibrant Publishers |
| Publication date | July 4, 2025 |
| Language | English |
| Print length | 274 pages |
| ISBN-10 | 1636513778 |
| ISBN-13 | 978-1636513775 |
| Item Weight | 11.4 ounces (323.19 grams) |
| Dimensions | 5.5 x 0.62 x 8.5 inches (14 x 1.6 x 21.6 cm) |
| Part of series | Self-Learning Management Series |
Product Description
Machine Learning Essentials You Always Wanted to Know: A Hands-On Beginners Guide to Mastering AI, Supervised, Unsupervised, and Deep Learning Algorithms
Customer Questions & Answers
-
Question:
Who is this book intended for?
Answer: This book is intended for beginners, including students and professionals looking to transition into AI. -
Question:
What will I learn from this book?
Answer: You will learn the fundamentals of machine learning, key algorithms, and practical coding techniques. -
Question:
Does the book include hands-on exercises?
Answer: Yes, the book features hands-on coding exercises to apply the concepts learned.
Generative AI Editorial Review
**** Dhairya Parikh’s "Machine Learning Essentials You Always Wanted to Know" stands out as a thoughtfully crafted introduction to the complex realm of machine learning. Tailored primarily for beginners—students, professionals looking to pivot, or casually curious individuals—the book excels in making a daunting subject accessible without sacrificing substance. Readers frequently praised the clarity of Parikh's explanations, highlighting how he effectively demystifies complex concepts such as supervised and unsupervised learning. The author’s skillful avoidance of excessive mathematical jargon makes the material engaging and less intimidating. The inclusion of real-world scenarios, such as fraud detection and recommendation systems, not only grounds the theoretical aspects but also demonstrates the practicality of machine learning in everyday technology. One of the book's standout features is its hands-on approach, encouraging readers to actively engage with coding exercises that reinforce the material being discussed. This interactive element resonates with many users, as they found that applying what they learned in real-time significantly aided their understanding and retention. Users noted that while a basic familiarity with coding—particularly in Python—can enhance the experience, beginners are still able to grasp the concepts presented. Visual aids and supplemental resources such as links to additional tutorials and blog posts further enhance the learning experience, making this book a comprehensive guide for anyone looking to enter the field of machine learning. While some algebra may present a challenge, it is presented in a manner that does not overwhelm. Overall, "Machine Learning Essentials You Always Wanted to Know" is highly recommended for those interested in machine learning and looking to break through the initial barriers of entry. **
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Pros
- Clear, beginner-friendly explanations of complex concepts
- Engaging real-world examples
- Hands-on coding exercises to reinforce learning
- Includes visuals for better understanding
- Supplementary links to further resources
- Suitable for both casual readers and professionals
Cons
- Some algebraic content may be challenging for absolute beginners
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Features & Benefits
- Beginner-friendly guide to mastering machine learning.
- Covers essential algorithms and techniques in ML.
- Focuses on hands-on coding and real-world applications.
- Ideal for students and professionals transitioning to AI.
- Simplifies complex concepts without jargon.
- Part of a valuable self-learning series for career advancement.
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