{
"item_title" : "Quantum Machine Learning with Qiskit and TensorFlow Quantum",
"item_author" : [" Greyson Chesterfield "],
"item_description" : "In Quantum Machine Learning with Qiskit and TensorFlow Quantum, embark on a groundbreaking journey at the intersection of quantum computing and artificial intelligence, where theory meets hands-on implementation to tackle the biggest challenges in AI and data science. Designed for both tech enthusiasts and professionals, this book transforms complex ideas into accessible knowledge, blending the power of quantum computing with practical machine learning techniques to unlock new possibilities. Whether you're advancing in data science or diving into the next frontier of computing, this essential guide equips you with real-world tools and insights to lead the next revolution in AI.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/834/486/9798344864457_b.jpg",
"price_data" : {
"retail_price" : "17.99", "online_price" : "17.99", "our_price" : "17.99", "club_price" : "17.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Quantum Machine Learning with Qiskit and TensorFlow Quantum : Combining Quantum Computing and Deep Learning Techniques to Solve Complex Problems in AI
Overview
In Quantum Machine Learning with Qiskit and TensorFlow Quantum, embark on a groundbreaking journey at the intersection of quantum computing and artificial intelligence, where theory meets hands-on implementation to tackle the biggest challenges in AI and data science. Designed for both tech enthusiasts and professionals, this book transforms complex ideas into accessible knowledge, blending the power of quantum computing with practical machine learning techniques to unlock new possibilities. Whether you're advancing in data science or diving into the next frontier of computing, this essential guide equips you with real-world tools and insights to lead the next revolution in AI.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798344864457
- ISBN-10: 9798344864457
- Publisher: Independently Published
- Publish Date: October 2024
- Dimensions: 9 x 6 x 0.42 inches
- Shipping Weight: 0.59 pounds
- Page Count: 196
Related Categories
