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An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays.

People have gathered data from applications and systems binary options neural network years passion fire median today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Our favorite data scientist is Clare Corthell. She is an expert in data-related systems and a hacker, and binary options neural network years passion fire median been working on a company as a data scientist.

This website helps you to understand the exact way to study as a professional data scientist. Secondly, Our favorite programming language is Python nowadays for DataScience.

Python's - Pandas library has full functionality for collecting and analyzing data. We use Anaconda to play with data and to create applications. Net Python Ruby Swift. Android Apple iOS Cordova. From Geckoboard's Data Literacy Lessons. What is Data Science?

Government's open data United States Census Bureau usgovxml. Data Science London Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science. We are the largest data science community in Europe. We are more than 3, data scientists and data geeks in our community. Datawrangling by Peter Skomoroch. Helps Build Careers in Data Science, Advanced Analytics, Big Data Architecture, and High Performance Binary options neural network years passion fire median Engineering Louis Dorard a technology guy with a penchant for the web and for data, big and small Machine Learning Mastery about helping professional programmers to confidently apply machine learning algorithms to address complex problems.

Over the past 5 years, He haas applied statistics to solve problems in government, brain sciences, and most recently, retail. I handle the whole data pipeline, from tracking to model-building to reporting. WhatSTheBigData is some binary options neural network years passion fire median, all of, or much more than the above and this blog explores its impact on information technology, the business world, government agencies, and our lives.

Mic Farris Focusing on science, datascience, business, technology, and channeling inner geekness! Occam's Razor - Focused on Web Analytics. Data School - Data science tutorials for beginners!

Colah's Blog - Blog for understanding Neural Networks! Distill - Dedicated to clear explanations of machine learning! Data Science London Data Science. I work on Social Media. Tweets reflect my views only. Kevin Davenport - Organizer of https: Linda Regber - Data story teller, visualizations. Luis Rei - PhD Student. Occasional fathering, husbanding, ult goalt-imate, organic gardening. Matthew Russell - Mining the Social Web. Text mining, applied machine learning, recommender systems.

Ex-gamer, ex-machine coder; namer. Author of vis books: Rand Hindi Randy Olson - Computer scientist researching artificial intelligence. Community leader for DataIsBeautiful. Taylor - Social Scientist. Facebook Data Science Team. Passionate about programming and open-source. Practicing data-driven journalism, making it visual and showing our work. Binary options neural network years passion fire median with Hadoop, Spark. Hortonworks Sandbox is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.

R is a free software environment for statistical computing and graphics. Python - Pandas - Anaconda Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing Scikit-Learn Machine Learning in Python NumPy NumPy is fundamental for scientific computing with Python. It supports large, multi-dimensional arrays and matrices and includes an assortment of high-level mathematical functions to operate on these arrays.

SciPy SciPy works with NumPy arrays and provides efficient routines for numerical integration and optimization. Data Science Toolbox - Coursera Course Data Science Toolbox - Blog Wolfram Data Science Platform Take numerical, textual, image, GIS or other data and give it the Wolfram treatment, carrying out a full spectrum of data science analysis and visualization and automatically generating rich interactive reports—all powered by the revolutionary knowledge-based Wolfram Language.

Datadog Solutions, code, and devops for high-scale data science. Domino Data Labs Run, scale, share, and deploy your models — without any infrastructure or setup. Apache Flink A platform for efficient, distributed, general-purpose data processing. Weka Weka is a collection of machine learning algorithms for data mining tasks.

Octave GNU Octave is a high-level interpreted language, primarily intended for numerical computations. Free Matlab Apache Spark Lightning-fast cluster computing Hydrosphere Mist - a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services. Awesome Machine Learning A curated list of awesome Machine Learning frameworks, libraries and software. Swami Chandrasekaran made a Curriculum via Metro map. And a male version, from another article by MarketingDistillery.

From this article by Berkeley Science Review.

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Part 1 focuses on reducing losses where youre already in your trade and you need to hedge yourself. These strategies are primarily geared for people trading longer than 10 minute expiry times. I explain how shorter expiry traders will have a hard time hedging their trades.

Like in GT302, I walk through 3 scenarios where you can utilize hedging strategies.