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Divya Singh's Blog (35)

A Comprehensive Guide to Data Science With Python

A Hearty Welcome to You!

I am so thrilled to welcome you to the absolutely awesome world of data science. It is an interesting subject, sometimes difficult, sometimes a struggle but always hugely rewarding at the end of your work. While data science is not as tough as, say, quantum mechanics, it is not high-school algebra either.

It requires knowledge of Statistics, some Mathematics (Linear Algebra,…

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Added by Divya Singh on June 26, 2019 at 9:00pm — No Comments

Deep learning Data Sets for Every Data Scientist

Machine Learning has seen a tremendous rise in the last decade, and one of its sub-fields which has contributed largely to its growth is Deep Learning. The large volumes of data and the huge computation power that modern system possess has given Data Scientist, Machine Learning Engineers, and others to achieve ground-breaking results in the Deep Learning and continue to bring in new developments in this field.

In this blog post, we would cover the deep learning data sets that you…

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Added by Divya Singh on June 19, 2019 at 8:00pm — No Comments

What is Quantum Computing and How is it Useful for Artificial Intelligence?

Introduction

After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available to the world. The 5-quantum-bit (qubit) resource they now call the IBM Q experience. It was more like a toy for researchers than a way of getting any serious number crunching done. But 70,000 users worldwide have registered for it, and the qubit count in this…

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Added by Divya Singh on June 13, 2019 at 8:00pm — No Comments

How to Make Machine Learning Models for Beginners

Introduction

Data science is one of the hottest topics in the 21st century because we are generating data at a rate which is much higher than what we can actually process. A lot of business and tech firms are now leveraging key benefits by harnessing the benefits of data science. Due to this, data science right now is really booming.

In this blog, we will deep dive into the world of machine learning. We will walk you…

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Added by Divya Singh on June 4, 2019 at 8:30pm — No Comments

Apache Spark Streaming Tutorial for Beginners

Introduction

In a world where we generate data at an extremely fast rate, the correct analysis of the data and providing useful and meaningful results at the right time can provide helpful solutions for many domains dealing with data products. We can apply this in Health Care and Finance to Media, Retail, Travel Services and etc. some solid examples include Netflix providing personalized recommendations at real-time, Amazon tracking your interaction with different products on its…

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Added by Divya Singh on May 30, 2019 at 8:00pm — No Comments

Basic Statistics Concepts Every Data Scientist Should know

Introduction

Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value

The broader fields of understanding what data…

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Added by Divya Singh on May 29, 2019 at 8:00pm — No Comments

10 Areas of Expertise in Data Science

The analytics market is booming, and so is the use of the keyword – Data Science. Professionals from different disciplines are using data in their day to day activities, and feel the need to master the start-of-the-art technology in order to get maximum insights from the data, and subsequently help the business to grow.

Moreover, there are professionals who want to keep them updated with this latest skills such as Machine Learning, Deep Learning, Data Science, and so either to elevate…

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Added by Divya Singh on May 28, 2019 at 10:19pm — No Comments

How to Install and Run Hadoop on Windows for Beginners

Introduction

Hadoop is a software framework from Apache Software Foundation that is used to store and process Big Data. It has two main components; Hadoop Distributed File System (HDFS), its storage system and MapReduce, is its data processing framework. Hadoop has the capability to manage large datasets by distributing the dataset into smaller chunks across multiple machines and performing parallel computation on it…

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Added by Divya Singh on May 23, 2019 at 8:30pm — No Comments

What is Data Lake and How to Improve Data Lake Quality

Introduction

Building data pipelines is a core component of data science at a startup. In order to build data products, you need to be able to collect data points from millions of users and process the results in near real-time. Today, many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality:

  • Multiple data sources:…
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Added by Divya Singh on May 22, 2019 at 9:00pm — No Comments

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

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