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5 Free Books to Master Data Science

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning. When you break into data science, you have a huge variety of resources at your fingertips, like Udemy courses, YouTube videos, and articles. But you need to give yourself a clear structure of what you should study to avoid feeling overwhelmed and losing motivation.



Why Python?

Python is a “scripting language” – an interpreted language with its own built-in memory management and good facilities for calling and co-operating with other programs. There are two popular versions, 2.7 or 3.x, and in this book we will be focusing on the 3.x version, because this is under active development and has already seen over two years of stable releases.


Python is multi-platform, runs on Windows, Linux/Unix, and Mac OS X, and has been ported to Java and .NET virtual machines. Python has powerful standard libs and a wealth of third-party packages for numerical computation and machine learning, such as NumPy, SciPy, pandas, SciKit, mlpy, and so on.

Python is excellent for beginners, yet great for experts, is highly scalable, and is also suitable for large projects as well as small ones. It is also easily extensible and object-oriented. Python is widely used by organizations like Google, Yahoo maps, NASA, Red Hat, Raspberry Pi, IBM, and many more.


Python has excellent documentation and examples:


The latest Python software is available for free, even for commercial products, and can be downloaded from here: http://python.org/



mlpy (Machine Learning Python) is a module built on top of NumPy, SciPy, and the GNU scientific libraries. It is open source and supports Python 3.x. mlpy has a large number of machine learning algorithms for supervised and unsupervised problems. Some of the features of mlpy are as follows:

Regression: Support Vector Machines (SVM)

Classification: SVM, k-nearest-neighbor (k-NN), classification tree

Clustering: k-means, multidimensional scaling

Dimensionality Reduction: Principal Component Analysis (PCA)

Misc: Dynamic Time Warping (DTW) distance

We can download the latest version of mlpy from below:






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http://www.freedownloadscenter.com/Search/math.html  Free software. Includes equation editor that you can use in Word.



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Solves any kind of math problem, from basic math to chemical equations. Not recommended for cheating at school because actually knowing math is very important for times when you don’t have internet access to get to this site. Plus, you don’t get the steps to solving the equation unless you upgrade your account. Solve for y here.




A handy library of PDF user manuals for almost anything. Available here.





Matching your Dashboard colours

With Colour Impact, you can create beautiful colour schemes at the click of a button. Experience the fun! No more guesswork when you pick colours for your next design project. With a single click, you can create colour combinations with impact. Just select the main colour, and the visual colour wheel instantly displays a selection of perfectly matching colours. You can then try different colour harmonies, add shades and tints and fine tune your colour scheme to perfection.

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