Neural Networks for Data Professionals: A Comprehensive Introduction from Pluralsight

Unlock the power of neural networks in data science. This course will teach you to build, deploy, and optimize neural networks for real-world applications.

In the ever-evolving world of data science and artificial intelligence, the ability to harness the power of neural networks stands as a crucial skill for data professionals. These complex systems, inspired by the human brain, have revolutionized how we approach big data, enabling breakthroughs in everything from image recognition to natural language processing. However, mastering neural networks often seems daunting due to their inherent complexity and the rapidly advancing field.

In this course, Neural Networks for Data Professionals: A Comprehensive Introduction, you’ll gain the ability to demystify and effectively utilize neural networks in your data projects.

First, you’ll explore the foundational concepts behind neural networks, including the structure and function of neurons and layers, differentiating between various types of neural networks such as feedforward and recurrent, and grasping essential mechanisms like activation functions and backpropagation algorithms.

Next, you’ll discover the practical aspects of designing, training, and deploying your neural networks, like creating a neural network architecture from scratch, selecting appropriate input and output layers for specific tasks, and implementing hidden layers to optimize model performance.

Then, you'll delve into choosing the right activation and loss functions, training your network with a dataset, and fine-tuning hyperparameters for optimal performance.

Finally, you’ll learn how to fine-tune and optimize neural networks for real-world applications, including advanced techniques such as regularization, dropout, and batch normalization to prevent overfitting, adjusting learning rates for efficient training, and utilizing transfer learning and pre-trained models, as well as interpreting loss curves and learning curves to ensure your models are on the right track.

When you’re finished with this course, you’ll have the skills and knowledge of neural networks needed to confidently build, deploy, and optimize these powerful models for a variety of data-driven applications, to advance your career in data science, or simply to expand your skill set in this cutting-edge field.

What's inside

Syllabus

Course Overview

Foundations of Neural Networks

Deploying and Optimizing Neural Networks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Core audience for this course is data professionals who want to use neural networks in their work

Teaches the foundations of neural networks which are needed by data professionals

Introduces a variety of neural network types like feedforward and recurrent

Covers essential mechanisms of neural networks like activation functions and backpropagation algorithms

Provides hands-on experience with designing, training, and deploying neural networks

Career center

Learners who complete Neural Networks for Data Professionals: A Comprehensive Introduction will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

As a Machine Learning Engineer, you'll be responsible for designing, developing, and deploying machine learning models. You'll need to have a strong understanding of machine learning algorithms, as well as the ability to apply them to real-world problems. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, one of the most important types of machine learning algorithms. With this knowledge, you'll be able to develop and deploy machine learning models that can solve a wide range of problems.

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Deep Learning Engineer

As a Deep Learning Engineer, you'll be responsible for designing, developing, and deploying deep learning models. You'll need to have a strong understanding of deep learning techniques, as well as the ability to apply them to real-world problems. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, which are the foundation of deep learning. With this knowledge, you'll be able to develop and deploy deep learning models that can solve a wide range of problems.

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Data Scientist

As a Data Scientist, you will need expertise in a broad range of disciplines, including data mining, machine learning, statistics, programming, and data visualization. You'll also need to be able to communicate your findings clearly and effectively to both technical and non-technical audiences. This course on Neural Networks for Data Professionals will help you build a deep understanding of neural networks, one of the most powerful tools in the data scientist's toolkit. With this knowledge, you'll be able to apply neural networks to a wide range of data science problems, from image recognition to natural language processing.

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Artificial Intelligence Engineer

As an Artificial Intelligence Engineer, you'll be responsible for designing, developing, and deploying AI systems. You'll need to have a strong understanding of AI techniques, as well as the ability to apply them to real-world problems. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, which are one of the most important types of AI algorithms. With this knowledge, you'll be able to develop and deploy AI systems that can solve a wide range of problems.

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Quantitative Analyst

As a Quantitative Analyst, you'll be responsible for using mathematical and statistical models to analyze financial data. You'll need to have a strong understanding of financial markets, as well as the ability to apply mathematical and statistical models to real-world problems. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, which are becoming increasingly important in the field of quantitative finance. With this knowledge, you'll be able to develop and apply mathematical and statistical models to financial data to help your organization make better decisions.

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Data Analyst

As a Data Analyst, you'll be responsible for collecting, cleaning, and analyzing data. You'll need to be able to identify trends and patterns in data, and communicate your findings to stakeholders. This course on Neural Networks for Data Professionals will help you develop the skills you need to analyze data effectively. With this knowledge, you'll be able to identify trends and patterns in data that can help your organization make better decisions.

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Research Scientist

As a Research Scientist, you'll be responsible for conducting research in a variety of fields, including artificial intelligence, machine learning, and data science. You'll need to have a strong understanding of research methods, as well as the ability to communicate your findings to stakeholders. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, which are one of the most important types of AI algorithms. With this knowledge, you'll be able to conduct research in a variety of fields to advance the state-of-the-art.

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Software Engineer

As a Software Engineer, you'll be responsible for designing, developing, and testing software applications. You'll need to have a strong understanding of computer science fundamentals, as well as the ability to work in a team environment. This course on Neural Networks for Data Professionals will help you build a strong foundation in neural networks, which are becoming increasingly important in the development of software applications. With this knowledge, you'll be able to develop software applications that can solve a wide range of problems.

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Data Architect

As a Data Architect, you'll be responsible for designing and building data architectures. You'll need to have a strong understanding of data architecture principles, as well as the ability to work in a team environment. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to develop data architectures. With this knowledge, you'll be able to design and build data architectures that can handle large volumes of data.

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Data Engineer

As a Data Engineer, you'll be responsible for designing, building, and maintaining data pipelines. You'll need to have a strong understanding of data engineering principles, as well as the ability to work in a team environment. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to develop data pipelines. With this knowledge, you'll be able to design and build data pipelines that can handle large volumes of data.

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Operations Research Analyst

As an Operations Research Analyst, you'll be responsible for using mathematical and statistical models to solve business problems. You'll need to have a strong understanding of operations research techniques, as well as the ability to apply them to real-world problems. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to solve operations research problems. With this knowledge, you'll be able to develop and apply mathematical and statistical models to business problems to help your organization make better decisions.

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Financial Analyst

As a Financial Analyst, you'll be responsible for analyzing financial data and making recommendations on investments. You'll need to have a strong understanding of financial markets, as well as the ability to apply mathematical and statistical models to real-world problems. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to analyze financial data. With this knowledge, you'll be able to make recommendations on investments that can help your clients achieve their financial goals.

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Product Manager

As a Product Manager, you'll be responsible for the development and launch of new products. You'll need to have a strong understanding of market research, product development, and marketing. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to develop new products. With this knowledge, you'll be able to develop products that meet the needs of your customers.

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Consultant

As a Consultant, you'll be responsible for providing advice and guidance to clients on a variety of topics. You'll need to have a strong understanding of the business world, as well as the ability to communicate your findings to stakeholders. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to solve business problems. With this knowledge, you'll be able to provide advice and guidance to clients on a variety of topics.

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Business Analyst

As a Business Analyst, you'll be responsible for analyzing business processes and identifying opportunities for improvement. You'll need to have a strong understanding of business principles, as well as the ability to communicate your findings to stakeholders. This course on Neural Networks for Data Professionals may be useful for you if you want to learn how to use neural networks to analyze business data. With this knowledge, you'll be able to identify trends and patterns in business data that can help your organization make better decisions.

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