# AnalyticBridge

A Data Science Central Community

# All Blog Posts (2,026)

### Learn Python for Data Science from Scratch

This tutorial is full of useful links, references, and comments. It is organized as follows:

Content

Why Python?

Step 1: Learning the basics

• Books

Step 2: Basic stats and maths

Step 3: Python for data analysis

• Jupyter notebook
• Numpy
• Pandas
• Matplotlib
• Seaborn

Step 4: Machine learning

• Courses…

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Added by Vincent Granville on May 19, 2017 at 11:00am — No Comments

Here is our selection of articles and resources posted today:

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Added by Vincent Granville on May 13, 2017 at 12:12pm — No Comments

Here is our new selection of featured articles and resources published recently:

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Added by Vincent Granville on May 6, 2017 at 10:30am — No Comments

### 12 Interesting Reads for Math Geeks

Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting articles, many about challenging, deep mathematical problems, by a data scientist who developed math-free algorithms. Some of these articles cover statistical theory and thus belong to data science,…

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Added by Vincent Granville on May 3, 2017 at 11:30am — No Comments

### 16 Data Science Repositories

Each one is a repository in its own, and they cover topics such as time series, regression, outliers, clustering, correlation, Hadoop, deep learning, Python, IoT, data sets, cheat sheets, infographics, and more (AI coming soon.)

Each one features a number of popular articles and resources.

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Added by Vincent Granville on May 3, 2017 at 10:00am — No Comments

### Deep Learning Cheat Sheet (using Python Libraries)

We added one new cheat sheet to our list of data science cheat sheets:

Previous entries include:

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Added by Vincent Granville on April 28, 2017 at 3:07pm — No Comments

### 8 New Articles and Resources Featured Today

Covering deep learning, AI, data science and dataviz:

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Added by Vincent Granville on April 26, 2017 at 5:30pm — No Comments

### Business Analytics and Intelligence Compared

Business analytics and business intelligence are two different notions, but only few people understand the difference. Interestingly, even people who have worked in the business industry struggle with this particular topic or have various different answers when someone asks the question 'What is the difference between business analytics and business intelligence?'

Some people define business analytics as an umbrella term and place intelligence as one of its parts, together with data…

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Added by Laura Buckler on April 25, 2017 at 8:00am — 1 Comment

### The Alphabet of Data Science

The alphabet of data science...

• Artificial Intelligence:: AI is the capability of a machine to imitate intelligent human behavior. BMW, Tesla, Google are using AI for self-driving cars. AI should be used to solve real world tough problems like climate modeling to disease analysis and betterment of humanity.
• Boosting and Bagging: it is the technique used to generate more accurate models by ensembling multiple models together
• Crisp-DM: is the cross industry…
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Added by Vincent Granville on April 21, 2017 at 3:30pm — No Comments

### 50 Important Things You Need to Know About Data Science

Below are a few extract from a long list of quotes by leading data scientists. Click here to read the whole list. Also, do not miss our new popular articles: How to lie with data, and…

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Added by Vincent Granville on April 21, 2017 at 10:30am — No Comments

### Tips for Reducing Fraud and Bolstering Customer Data Security

Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because they’re fairly small, no one would want to try to steal the customer information they collect. After all, why go after a few thousand customer records when you could attack a large corporation and potentially walk away with tens of…

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Added by Peter Davidson on April 17, 2017 at 6:00am — No Comments

Here is our selection of featured articles and resources posted today:

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Added by Vincent Granville on April 15, 2017 at 11:00am — No Comments

### Monte Carlo Analysis and Simulation

The Monte Carlo method is an simple way to solve very difficult probabilistic problems. This text is a very simple, didactic introduction to this subject, a mixture of history, mathematics and mythology.

The method has origins in the World War II, proposed by the Polish American mathematician Stanislaw Ulam and Hungary American mathematician John Von Neumann.…

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Added by Arnaldo Gunzi on April 11, 2017 at 4:00pm — No Comments

### 4 types of social media analytics explained

Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Social media data is the new gold and analytics is its digging tool. Social Media Analytics (SMA) is the art and science of extracting valuable hidden business insights from social media media data (Khan, 2015) . SMA turns the…

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Added by Gohar Feroz Khan on April 10, 2017 at 1:30pm — No Comments

### The Future of Data Science in One Picture

We have published various "one picture" articles about data science topics. Our readers find them very useful, as they convey the same amount of information in one visual, as a long article. Below is a selection:

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Added by Vincent Granville on April 10, 2017 at 11:36am — No Comments

New batch of featured articles and resources posted this morning:

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Added by Vincent Granville on April 8, 2017 at 11:36am — No Comments

### Data Democracy Encourages Social BI and Creates Citizen Data Scientists

Democracy is a great thing! The more involved people are, the more they understand, the better decisions they can make for themselves and for everyone else AND they can make a better contribution as well. Data Democratization works the same way. In years past, businesses thought that only senior management…

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Added by Arbuda Dave on April 7, 2017 at 12:30am — No Comments

### Factoring Massive Numbers: Machine Learning Approach - Why and How

We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms such as RSA, and the prime factors represent the keys (public and private) of the encryption code. Here you will also learn how data science techniques are applied to big data, including visualization, to derive insights. This article is good reading for the data scientist in training, who might not necessarily have easy access to interesting data: here the…

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Added by Vincent Granville on April 6, 2017 at 7:30pm — No Comments

### The Ultimate Guide for Choosing Algorithms for Predictive Modeling

There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second is monitoring. This is looking at things as they happen. In many…

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Added by Steven M. Mehler on April 3, 2017 at 12:00am — 1 Comment

Here is our list of featured articles and resources for this weekend:

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Added by Vincent Granville on April 1, 2017 at 1:00pm — No Comments

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