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47h
Hands-On Quantum Machine Learning with Python
Delve into Quantum Machine Learning with Python, learning basics of quantum computing, creating parameterized circuits, and solving classification tasks using hybrid algorithms and quantum phenomena.
Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for the computation of machine learning algorithms. In this course, you'll learn the basics of machine learning and quantum computing. You'll learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks.
Additionally, you’ll learn about quantum superposition, entanglement, and interference and how you can use it to solve problems intractable for classical computers.
Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use...Show More
WHAT YOU'LL LEARN
Learn the basics of machine learning and quantum computing.
Learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks.
Explore quantum superposition, entanglement, and interference, and how you can use these concepts to solve problems that have been intractable for classical computers.
Extend your knowledge and learn how to solve new problems.
Of course, you will do some math. Of course, you will cover a little physics.
Learn the basics of machine learning and quantum computing.
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Content
1.
Getting Started
5 Lessons
Learn how to use quantum computing principles to enhance machine learning methodologies.
2.
Binary Classification
13 Lessons
Solve challenges with binary classification through data preprocessing, evaluation metrics, and classifier visualization.
Getting and Looking at the DatasetData Preprocessing: Missing ValuesData Preprocessing: IdentifiersData Preprocessing: Handling Text and Categorical AttributesData Preprocessing: 4- Feature ScalingData Preprocessing: Training and TestingBaselineClassifier EvaluationClassifier MeasuresUnmask the Hypocrite ClassifierVisualization of Hypocrite ClassifiersPerformance Evaluation of Hypocrite ClassifierQuiz: Binary Classification
3.
Qubit and Quantum States
10 Lessons
Work your way through the fundamentals and practical applications of qubits and quantum states.
4.
Probabilistic Binary Classifier
4 Lessons
Apply your skills to create probabilistic models using Naïve Bayes and Gaussian Naïve Bayes.
5.
Working with Qubits
9 Lessons
Deepen your knowledge of qubits, superposition, quantum gates, and probability manipulation.
6.
Working with Multiple Qubits
14 Lessons
See how quantum entanglement, CNOT gates, and probability manipulation transform quantum computing dynamics.
7.
Quantum Naïve Bayes
6 Lessons
Master the Quantum Naïve Bayes classifier using pre-processing, quantum circuit, and post-processing techniques.
8.
Quantum Computing Is Different
7 Lessons
Break down the principles of quantum computing, its unique algorithms, and the pivotal quantum oracle.
9.
Quantum Bayesian Networks
7 Lessons
Unpack the core of building and implementing Quantum Bayesian Networks for complex probabilistic analyses.
10.
Bayesian Inference
10 Lessons
Master Bayesian inference with quantum networks to estimate probabilities and predict survival.
11.
The World Is Not a Disk
11 Lessons
Apply your skills to grasp qubit phases, Bloch sphere states, and quantum gate effects.
12.
Working with the Qubit Phase
5 Lessons
Take a closer look at handling quantum states using Grover's Algorithm and amplitude amplification techniques.
13.
Search for Relatives
6 Lessons
Tackle quantum methods to optimize relational data for passenger survival predictions.
14.
Sampling
5 Lessons
Test your understanding of various quantum sampling methods to estimate probabilities efficiently.
15.
Conclusion
1 Lessons
Get familiar with future trends in quantum machine learning and continue your learning journey.
16.
APPENDIX
3 Lessons
Walk through configuring environments for quantum machine learning with Python on different platforms.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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