We may earn an affiliate commission when you visit our partners.

Building Neural Networks with scikit-learn

This course is no longer available. Find something similar by browsing:

scikit-learn Neural Networks Deep Learning Machine Learning Perceptron Multi-layer Perceptron Restricted Boltzmann Machines

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches how to use scikit-learn constructs to build neural networks, providing a solid foundation in deep learning

Suitable for learners with prior experience in machine learning and an interest in deep learning

Emphasizes the practical application of scikit-learn for neural network construction, making it relevant to industry

Covers advanced topics such as Restricted Boltzmann Machines for dimensionality reduction, expanding learners' knowledge in machine learning

Requires prior machine learning knowledge, making it less accessible to complete beginners

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Activities

Coming soon We're preparing activities for Building Neural Networks with scikit-learn. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Building Neural Networks with scikit-learn will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists bridge the gap between analysts and engineers. They have the skills to extract useful data from raw data using machine learning algorithms. The models they construct use the data to make predictions and uncover actionable insights. To be successful in this role, you must have a strong foundation in neural networks, data modeling, and statistical analysis. Gaining proficiency in these areas will give you an edge in the competitive field of Data Science.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers develop and maintain machine learning models. They use their expertise in neural networks to build models that can learn from data and make predictions. To be successful in this role, you must have a strong foundation in neural network architecture and algorithms. Taking this course will enhance your understanding of how neural networks work and how to apply the knowledge to real-world machine learning problems.

See salaries and explore the career path for Machine Learning Engineer

Deep Learning Engineer

Deep Learning Engineers specialize in building deep learning models. They have the expertise to develop and implement deep neural networks for a variety of applications. To be successful in this role, you must have a deep understanding of neural network architectures, algorithms, and training techniques. Taking this course will provide you with the foundation you need to excel in this field.

See salaries and explore the career path for Deep Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and implement AI systems. They have the expertise to apply neural networks and other AI techniques to solve complex problems. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Artificial Intelligence Engineer

Neural Network Architect

Neural Network Architects design and develop the architecture of neural networks. They have the expertise to create innovative neural network architectures that can solve complex problems. To be successful in this role, you must have a deep understanding of neural network theory and algorithms. Taking this course will provide you with the foundation you need to excel in this field.

See salaries and explore the career path for Neural Network Architect

Computer Vision Engineer

Computer Vision Engineers develop and implement computer vision systems. They have the expertise to apply neural networks to tasks such as image recognition, object detection, and video analysis. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Computer Vision Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers develop and implement natural language processing systems. They have the expertise to apply neural networks to tasks such as text classification, sentiment analysis, and machine translation. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Natural Language Processing Engineer

Speech Recognition Engineer

Speech Recognition Engineers develop and implement speech recognition systems. They have the expertise to apply neural networks to tasks such as speech recognition, speaker identification, and language identification. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Speech Recognition Engineer

Robotics Engineer

Robotics Engineers design, develop, and implement robotic systems. They have the expertise to apply neural networks to tasks such as robot navigation, object manipulation, and human-robot interaction. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Robotics Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data. They use their expertise in neural networks to build models that can identify patterns and trends in data. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to help businesses make better decisions. They have the expertise to apply neural networks to tasks such as market research, customer segmentation, and risk assessment. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to help businesses make better financial decisions. They have the expertise to apply neural networks to tasks such as stock market prediction, credit risk assessment, and fraud detection. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use data to help businesses make better marketing decisions. They have the expertise to apply neural networks to tasks such as customer segmentation, campaign optimization, and lead generation. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Marketing Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They have the expertise to apply neural networks to tasks such as market research, product design, and user experience. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers design, develop, and implement software systems. They have the expertise to apply neural networks to tasks such as natural language processing, computer vision, and robotics. To be successful in this role, you must have a strong foundation in neural network architecture, algorithms, and training techniques. Taking this course will provide you with the knowledge you need to be successful in this field.

See salaries and explore the career path for Software Engineer

Reading list

We haven't picked any books for this reading list yet.

Causal Inference in Statistics