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Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js: Suryadevara, Nagender Kumar: 9781484268421: Amazon.com: Books

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Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.


Why Python?

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Moreover, Python has various excellent libraries and frameworks that save time and effort.


An Introductory Look on NumPy and Pandas

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NumPy and Pandas are two significantly popular modules found in Python. Both modules are very popular to be main components of Machine Learning and Neural Networks studies. This article is taking these modules on board to summarize their features. Python is developed by Guido van Rossum and first released at the beginning of 90's as an open source programming language. With the increasing interest on Python, users contributed their work to the community.


6 Best Programming Languages for AI

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. You've probably seen what artificial intelligence (AI) can do in science fiction movies like Terminator or Her.


10 Best Python Libraries for Deep Learning

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In recent years, Python has proven to be an incredible tool for deep learning. Because the code is concise and readable, it makes it a perfect match for deep learning applications. Its simple syntax also enables applications to be developed faster when compared to other programming languages. Another major reason for using Python for deep learning is that the language can be integrated with other systems coded in different programming languages. This makes it easier to blend it with AI projects written in other languages.


Investment Management with Python and Machine Learning

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The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way.


What Is MLOps? Machine Learning Operations Explained - AI Summary

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Python: The programming language of machine learning - KDnuggets

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Did you know Python is the lingua franca of machine learning? You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too. Once you have learned a bit of basic Python, boost your skills on a fast track with Machine Learning Mastery's new book: Not having sufficient Python skills is a problem. You will get lost when you see your Python code doesn't work as expected, and you have no clue as to why.


9 Big Data Programming Languages to Learn

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Big Data programming languages are among the most popular trends these days. Languages like Python, R and SQL are the main pathways for most scientists. This is to guide them into the analytics roles. While others are useful for building applications in areas like data systems development. Here are the best 6 big data programming languages to learn. Top software companies in Toronto are using big data languages to build applications.


Anaimo Artificial Intelligence

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Just easily develop Artificial Intelligence applications faster. Written in C, the fastest high-level language. No challenge is complex enough for you with the Anaimo AI SDK. You are free to create and manage flexible neural networks as needed: Anaimo AI SDK has simple, atomic and intuitive functions. Is your device not supported yet?