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5 Skills that Can Make You a Machine Learning Engineer

Machine Learning (ML), Artificial Intelligence, Deep Learning and Data Science are some of the trending technologies of today that are persistently changing the course of our lives. There’s lot to discuss about them, however, in this post we are going to remain focused on ‘ML Engineer’ prerequisite skills i.e. what skills can make you a thriving ML engineer.
What is ML?
There are scores of definitions online for ML, well to put in a layman’s term – ML is all about making the computers to perform intelligent tasks without openly coding. In ML, computers learn from the experience.
Data plays a central role in defining the work of ML. To have a machine work intelligently, one needs to feed a lot of data. It is data that, in real sense, trains the computer for predicting outcomes or understanding patterns.
Some of the common ML examples are: detection of spam email, recognizing handwritten digits [9 + 1 = 10 (that’s right)], fraud detection in online and banking transactions and so on. Ha…
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Interview with Rohan Ayyar – Regional Marketing Manager India, SEMrush

Kindly tell briefly about SEMrush. How is it beneficial to all types of bloggers and website owners? All website owners, all bloggers need to market their website and widen their online presence. SEMrush includes distinct toolkits for each of the five basic elements of digital marketing: SEO, Advertising, Social Media, Content Marketing and Competitive Research. These toolkits help websites and bloggers analyze the current state of their websites as well as search visibility of their brand, and run data-driven digital marketing campaigns to bring more targeted visitors to their sites.
How large is the market for SEO? That’s an irrelevant question! How large is the online market? How large is the market for Google? Google IS the market, right? So as long as search engines like Google exist and people continue to use them, SEO is a necessity for every website out there. 2018 brought a whole new set of changes in the way businesses market their products and services, marketers try to im…

9 Reasons to Learn Python

How to Use Python for Data Analysis?

If you are here for data analysis using Python, then you must be aware that why Python is a great language for developers. So, in short, let me remind you some well-known classic aspects of Python without getting deep into the definition of “What is Python and so on”. Python is open source, free to use, have great collection of libraries, it is structured as well as object-oriented language, and has on offer great readability (unlike other languages) and of course great community support.

Well, you agree that Python is great and now you need to know how to use this language for data analysis. The process involves various steps, let’s get on the route.
Understanding the Type of Data: The foremost step is to identify the type of data available for analysis. Assume we have a huge data in excel sheets, with millions of rows and columns. Imagine, can you drive value from this data by using basic search and find commands in excel, may be you can. But it is going to be messy and time-consumi…

Is it Possible to use MySQL for Big Data Analysis?

MySQL is a popular relational database (RDBMS) for web applications (think of Twitter) and many other applications. Well, here the question is about magnanimousness of MySQL. I mean is it possible to use MySQL, in many ways, for Big Data analysis? Even if you think ‘yes’, the problem lies in the floating definition of Big Data, as a result creating a halo of confusion for new learners. Well, MySQL is good for data mining and online analytics (OLAP). So, does it mean we can scale/analyze Big Data using MySQL? The answer is not definitive, well there are two possibilities, let’s see to.

Big Data being generated continuously and large in amount needs something bigger like Hadoop for storing, managing and batch processing. However, we can connect MySQL to Hadoop for importing and exporting RDBMS using Apache Sqoop. HDFS is used for storing data, and for analysis the data can be passed on to MySQL. For instance, raw metrics can be stored in HDFS, however, summarized data can be sent to My…

Big Data Overview

What Topics in Python Should You learn for Data Analysis?

First off, understand there is difference between developing full-fledged software and doing data analysis using Python as a programming language. Clearly, here your aim is to do data analysis using Python, so learning Python becomes imperative for you. Right? Well, most of the people new to ‘big data’ and ‘data science’ go pell-mell, as they do not know where the correct essence of learning lies. They think that learning Python from A to Z will make them smarter, may be it can, but that's too much time consuming. As a new aspirant, you should be able to make out as what you should exactly learn for doing data analysis using Python.

In this post, we will go through the most-likely path which will make you self-confident in Python and subsequently in data analysis.

Step 1 - Basics:
Your learning process starts with rudimentary knowledge. Learning resources for general are different than selected learning. So, be it anything, you must learn the basics involved in Python. To learn…