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Python Machine Learning

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If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages.


Python Machine Learning

#artificialintelligence

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages.


15 Python Libraries for Data Science

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If you've read our introduction to Python, you already know that it's one of the most widely used programming languages today, celebrated for its efficiency and code readability. As a programming language for data science, Python represents a compromise between R, which is heavily focused on data analysis and visualization, and Java, which forms the backbone of many large-scale applications. This flexibility means that Python can act as a single tool that brings together your entire workflow. Python is often the choice for developers who need to apply statistical techniques or data analysis in their work, or for data scientists whose tasks need to be integrated with web apps or production environments. Its combination of machine learning libraries and flexibility makes Python uniquely well-suited to developing sophisticated models and prediction engines that plug directly into production systems.


The Best Python Libraries for Data Science and Machine Learning - DZone AI

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Data science and machine learning are the most in-demand technologies of the era, and this demand has pushed everyone to learn the different libraries and packages to implement them. This blog post will focus on the Python libraries for Data Science and Machine Learning. These are the libraries you should know to master the two most hyped skills in the market. Here's a list of topics that will be covered in this blog: When I started my research on data science and machine learning, there was always this question that bothered me the most. What led to the buzz around these two topics?


4 languages poised to out-Python Python

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What seems like the future of computing today may be tomorrow's footnote, whether deserved or undeserved. Python, currently riding high on the list of languages to know, seems like a candidate for near-immortality at this point. But other languages are showing that they share Python's strengths: convenient to program in, decked out with powerful ways to perform math and science work, arrayed with a huge number of convenient third-party libraries. Here's how four potential challengers to Python shape up against it, and how Python can still keep its edge. What it is: Apple's language, originally for iOS development, but now open source and shaping up to be of interest for server-side development as well.