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Explore and master machine learning and data science with this eight-course bundle

With this eight-course certification training bundle, you’ll get to master machine learning and data science concepts. Grab it for $35 today.

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Even in cutting-edge fields like machine learning, technology is constantly evolving and innovating. That’s why, if you want to future-proof your skills and make strides up the career ladder, it’s important to commit to learning today’s most important technologies. Today, that means delving into machine learning and data science. You can take a deep dive into both in the Machine Learning & Data Science Certification Training Bundle.

This eight-course bundle is taught by Minerva Singh, a Cambridge University Ph.D. graduate who has extensive experience in data science. She has expertise in tools like R, QGIS, Python, and more.

Across the courses, you’ll focus primarily on Python, R, and Tensorflow. Starting out, you’ll get a full introduction to Python Data Science, learn how to install Tensorflow and Keras, and begin covering the basics of syntax and Tensorflow’s graphing environment. From there, you’ll begin creating artificial neural networks and deep learning structures and explore statistical modeling in Tensorflow.

As you progress, you’ll get more focused training in Python Data Science, learn how to classify and cluster data in Python, and understand how to use statistics in machine learning. Finally, in a couple of deep dives into R programming, you’ll learn commonly used techniques, visualization methods and deep learning techniques and how to apply them to real-life temporal data.

You’ll also explore deep neural networks (DNN), convolution neural networks (CNN) and recurrent neural networks (RNN). By the end of the courses, you’ll have a comprehensive understanding of some of the most important tools in machine learning and data science.

Get caught up to the future. Grab the Machine Learning & Data Science Certification Training Bundle for just $35 today.

Prices and availability are subject to change.

Source: TechRepublic