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 library for numerical computation using data flow graphs. Nodes in the…

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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 Tutorial by HyunsuLee : github.com Tutorial by orcaman : github.com Stanford…

Read MoreTensorFlow 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 share on social media. Import TensorFlow: import tensorflow as tf…

Read MoreWhat 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 machine learning algorithms and deep neural networks, but it is…

Read MorePopular 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 whole csv to pd dataframe df = pd.read_csv(‘C:/Folder/mlhype.csv’, usecols=[‘abv’, ‘ibu’])…

Read MoreWhat 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 can be viewed as “programming by example”. This subarea of…

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