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Divya Singh's Blog (46)

An Introduction to Python Virtual Environment

Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent. The astonishing hype surrounding such technologies has prompted professionals from various disciples to hop on to the ship and consider analytics as their career option.

To master Data Science or Artificial Intelligence in…

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Added by Divya Singh on May 21, 2019 at 9:30pm — No Comments

Prediction of Customer Churn with Machine Learning

Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business decisions. Machine Learning is the future and is here to stay.

However, the term Machine Learning is not a new one. It was there since the advent of computers but has grown tremendously in the last decade due to the massive amounts of data that’s getting generated, and the enormous computational power that modern-day…

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Added by Divya Singh on May 20, 2019 at 10:30pm — No Comments

The Upcoming Revolution in Predictive Analytics (And Data Science)

The Next Generation of Data Science

Quite literally, I am stunned.

I have just completed my survey of data (from articles, blogs, white papers, university websites, curated tech websites, and research papers all available online) about predictive analytics.

And I have a reason to believe that we are standing on the brink of a revolution that will transform everything we know about data science and predictive analytics.

But before we go there,…

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Added by Divya Singh on May 9, 2019 at 10:30pm — No Comments

How Apache Spark can Boost Your Value?

Introduction

Technological progress and the development of infrastructure has increased the popularity of Big Data immensely. Businesses have started to realize that data can be used to accurately predict the needs of customers which can increase profits significantly. The growing use of Big Data can be…

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Added by Divya Singh on May 6, 2019 at 9:00pm — No Comments

The Role of Data Curation in Big Data

Introduction

Good data management practices are essential for ensuring that research data are of high quality, findable, accessible and have high validity. You can then share data ensuring their sustainability and accessibility in the long-term, for new research and policy or to replicate and validate existing research and policy. It is important that researchers extend these practices to their work with all types of data, be it big (large…

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Added by Divya Singh on April 28, 2019 at 8:00pm — No Comments

What is the Difference Between Hadoop and Spark?

Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classifies data as “big data”, but in simple terms, it is a data set that is too high in volume, velocity or variety such that it cannot be stored and processed by a single computing…

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Added by Divya Singh on April 24, 2019 at 8:30pm — No Comments

What is the Difference Between AI and Machine Learning

Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in.

In terms of perception, both Artificial Intelligence and Machine Learning are often used in the same context which leads to confusion. AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI…

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Added by Divya Singh on April 17, 2019 at 9:00pm — No Comments

What is Web Scraping and How to Implement it using Python?

Introduction:

Setting up a new business? Or trying to grow an existing one? No matter which one it is, web scraping is the best way to collect data for growing your business today. It will help you get valuable insights, and information about your latest competition, no matter what you deal in – products or services. Although web scraping has been going on for quite some time, it has never been as heavily used, or as reliable as it is today.

In this…

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Added by Divya Singh on April 10, 2019 at 9:00pm — 2 Comments

Top 10 Artificial Intelligence Trends in 2019

Introduction

Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intelligence will drive nearly $2 trillion worth of business value worldwide in 2019 alone. Hence, that’s an excellent incentive to grab a slice of the AI bounty. Also, fortune favors those who get an early start. Therefore, the laggards might not be so fortunate.…

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Added by Divya Singh on April 3, 2019 at 9:00pm — 1 Comment

All About Using Jupyter Notebooks and Google Colab

Introduction

Interactive notebooks are experiencing a rise in popularity. How do we know? They’re replacing PowerPoint in presentations, shared around organizations, and they’re even taking workload away from BI suites. Today there are many notebooks to choose from …

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Added by Divya Singh on March 26, 2019 at 8:59pm — No Comments

Data Science: What to Expect in 2019

Introduction

2019 looks to be the year of using smarter technology in a smarter way. Three key trends — artificial intelligence systems becoming a serious component in enterprise tools, custom hardware breaking out for special use-cases, and a rethink on data science and its utility — will all combine into a common theme.

In recent years, we’ve seen all manner of…

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Added by Divya Singh on March 25, 2019 at 1:30am — No Comments

Bias Variance Trade Off

Deep Learning is a highly empirical domain which majorly focusses on fine-tuning the various parameters. The choice of these parameters defines the accuracy of the model. So, it becomes important to choose such parameters wisely. Choosing the parameters based on intuition might not work every time which can degrade the performance of the model drastically. Also, a considerable amount of time and effort will go in vain while selecting the values of parameters based…

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Added by Divya Singh on March 18, 2019 at 8:30pm — No Comments

A Beginner’s Guide to Big Data and Blockchain

Introduction

Over the last few years, blockchain has been one of the hottest areas of technology development across industries. It’s easy to see why. There seems to be no end to the myriad ways that forward-thinking businesses are finding. Furthermore, they are doing this to adapt the technology to suit a variety of use cases and applications. Much of the development, however, has come in one of two places. One is deep-pocket corporations…

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Added by Divya Singh on March 14, 2019 at 8:30pm — No Comments

MATLAB for Data Science

Introduction

With the growth of Data science in recent years, we have seen a growth in the development of the tools for it. R and Python have been steady languages used by people worldwide. But before R and Python, there was only one key player and it was MATLAB. MATLAB is still in usage in most of the academics areas and mostly all the researchers throughout the world use MATLAB.

In this blog, we will look at…

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Added by Divya Singh on March 14, 2019 at 12:00pm — No Comments

Can you learn Data Science and Machine Learning without Maths?

Introduction

Data scientists are the no. 1 most promising job in America for 2019, according to a Thursday report from LinkedIn. Hence, this comes as no surprise: Data scientist topped Glassdoor’s list of Best Jobs in America for the past three years, with professionals in the field reporting high demand, high salaries, and high job satisfaction.

Also, with the…

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Added by Divya Singh on March 4, 2019 at 9:00pm — 1 Comment

Top takeaways from R Studio conf 2019

Introduction

During the most recent decade, the force originating from both the scholarly community and industry has lifted the R programming language. Also, they have worked hard to end up the absolute most significant tool for computational statistics, perception, and data science.

Due to the growth of R in the data science community, there is a constant need to upgrade and develop both R and…

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Added by Divya Singh on February 14, 2019 at 10:32pm — No Comments

Top Trends for Data Science in 2019

Trends to Watch Out For and Prepare Yourself

Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different. We are going to highlight the dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of…

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Added by Divya Singh on February 10, 2019 at 10:30pm — 1 Comment

Evolution of Chatbots & their Performance

Chatbots are the hot thing right now. Many surveys claim that XX% of companies plan to deploy a chatbot in Y years. Consider the infographic below that describes the chatbot market value in the US in a million dollars

However, where did it all start? Where are we now? In this article, we try to answer these questions.

 

ELIZA

Joseph Weizenbaum, a German professor of Computer Science at the Massachuset…

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Added by Divya Singh on February 6, 2019 at 4:00am — No Comments

How to Learn Python in 30 days

Introduction

Are you looking to learn python for data science but have a time crunch? Are you making your career shift into data science and want to learn python? In this blog, we will talk about learning python for data science in just 30 days. Also, we will look at weekly schedules and topics to cover in python.

Before directly jumping to python, let us understand about the usage of python in data…

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Added by Divya Singh on January 11, 2019 at 8:30am — 1 Comment

Building Blocks of Decision Tree

It’s been said that Data Scientist is the “sexiest job title of the 21st century.”  This is because of one main reason that there is a humongous amount of data available as we are producing data at a rate as never before. With the dramatic access to data, there are sophisticated algorithms present such as Decision trees, Random Forests etc. When there is a humongous amount of data available, the most intricate part is to select the correct algorithm to solve the problem.…

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Added by Divya Singh on December 11, 2018 at 4:00am — No Comments

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