ARTICLES BLOG

Trading with Python Intro – Data Import

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Traditionally, there have been two general ways of analyzing market data: fundamental analysis – focused on underlying fundamental data technical analysis – focused on charts and price movements In recent years, computer science and mathematics revolutionized trading, it has become dominated by computers helping to analyze vast amounts of available data.  Algorithms are responsible for …

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Introduction to TensorFlow

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Introduction to TensorFlow. What is TensorFlow? The shortest definition would be, TensorFlow is a general-purpose library for graph-based computation. But there is a variety of other ways to define TensorFlow, for example, Rodolfo Bonnin in his book – Building Machine Learning Projects with TensorFlow brings up definition like this: “TensorFlow is an open source software …

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Where to learn TensorFlow for Free?

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Below a list of free resources to learn TensorFlow: TensorFlow website: www.tensorflow.org Udacity free course: www.udacity.com Google Cloud Platform: cloud.google.com Coursera free course: www.coursera.org Machine Learning with TensorFlow by Nishant Shukla : www.tensorflowbook.com ‘First Contact With TensorFlow’ by Prof. JORDI TORRES: jorditorres.org  or you can order from Amazon: First Contact With Tensorflow Kadenze Academy: www.kadenze.com OpenShift: blog.openshift.com Tutorial by pkmital : github.com …

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Tensor Flow Cheat Sheet.

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TensorFlow Quick Reference Table – Cheat Sheet. TensorFlow is very popular deep learning library, with its complexity can be overwhelming especially for new users. Here is a short summary of often used functions, if you want to download it in pdf it is available here: TensorFlow CheetSheet – SecretDataScientist.com If you find it useful please …

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ARTICLES BLOG

What is TensorFlow?

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What is TensorFlow? TensorFlow is an open source software library for machine learning developed by Google –  Google Brain team. Name TensorFlow derives from the operations which neural networks perform on multidimensional data arrays, often referred to as “tensors”. It is using data flow graphs, and is capable of building and training variety of different …

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Popular Pandas snippets used in data analysis.

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Popular Pandas snippets used in data analysis. Pandas is very popular Python library for data analysis, manipulation, and visualization, I would like to share my personal view on the list of most often used functions/snippets for data analysis. 1.Import Pandas to Python import pandas as pd 2. Import data from CSV/Excel file df=pd.read_csv(‘C:/Folder/mlhype.csv’)   #imports …

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Intro to Machine Learning

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What is a definition of Machine Learning? Machine Learning subfield of science that provides computers with the ability to learn without being explicitly programmed.   The goal of Machine Learning is to develop learning algorithms that do the learning automatically without human intervention or assistance, just by being exposed to new data. The Machine Learning paradigm …

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