Machine Learning with Python: Handbook made for beginners, from scratch to fluent programming with example and basics of Numpy, PyTorch, Keras, Scikit Learn, Tensorflow

Programming Languages Project

ISBN 10: 1705333044 / ISBN 13: 9781705333044

Edité par Independently published, 2019

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N° de réf. du vendeur I-9781705333044

Détails bibliographiques

• Titre: Machine Learning with Python: Handbook made for beginners, from scratch to fluent programming with example and basics of Numpy, PyTorch, Keras, Scikit Learn, Tensorflow
• Éditeur: Independently published
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1705333044
• ISBN à 13 chiffres: 9781705333044
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

You have collected all of that data, maybe from different sources, but now you are ready to dive right in and see what insights are inside.

But then, you look at all of that data and realize that it would be impossible for you to ever get through it, much less in a timely manner, and you feel like you have just wasted a bunch of time in the process.

Instead of giving up and going home, it is time to take a look at machine learning and what it is able to do for you.

For any business that has spent time gathering data about their industry or their company, machine learning is the logical next step. This technology is able to teach a machine or a system, teach it how to do things on its own, and then sets it loose on all of that data you have collected. If the machine learning algorithm has been set up properly, then you will be able to learn a lot of great insights and predictions and will make it easier to turn your business to the future, beating out the competition and improving the customer experience.

This guidebook is going to spend some time looking at the different aspects that we need to know about Python machine learning. This can help any business, whether big or small, who collects information and data, takes that information and uses it for your own needs. Some of the different topics that we are going to use in order to learn more about Python machine learning in this guidebook include:

• What machine learning is all about.

• The different options you can choose from with machine learning and the various algorithms to get the work done.

• The benefits that come with choosing machine learning for your business.

• A look at deep learning and how this works together with machine learning to improve your business.

• An introduction to some of the different Python libraries that work well for machine learning.

• The best machine learning algorithms that any business should know to be able to see machine learning at work, and to help them effectively sort through their data.

Machine learning with Python is one of the best ways that you can take all of that data you have collected over time and put it to good use with the best insights and predictions. When you are ready to learn more about using Python machine learning, make sure to check out this guidebook today!