Data Science Trends of the Future 2022

Photo credit: Unsplash. Data Science is an exciting field for knowledge workers because it increasingly intersects with the future of how industries, society, governance and policy will function. While it’s one of those vague terms thrown around a lot for students, it’s actually fairly simple to define. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across […]

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Role of Machine Learning in Natural Language Processing

Introduction Machine Learning and Natural Language Processing are important subfields of Artificial Intelligence that have gained prominence in recent times. Machine Learning and Natural Language Processing play a very important part in making an artificial agent into an artificial ‘intelligent’ agent. An Artificially Intelligent system can accept better information from the environment and can act on the environment in a user-friendly manner because of the advancement in Natural Language Processing. Similarly, an Artificially Intelligent System can process the received information […]

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A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning!

Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from whichever standpoint you look at it. A pandemic raged around the world and yet it failed to dim the light on data science. The thirst to learn more continued unabated in our community and we saw some incredible developments and breakthroughs this year. From OpenAI’s mind-boggling GPT-3 framework to Facebook’s DETR model, this was a year […]

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Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)

Introduction “Should I use GitHub for my projects?” – I’m often asked this question by aspiring data scientists. There’s only one answer to this – “Absolutely!”. GitHub is an invaluable platform for data scientists looking to stand out from the crowd. It’s an online resume for displaying your code to recruiters and other fellow professionals. The fact that GitHub hosts open-source projects from the top tech behemoths like Google, Facebook, IBM, NVIDIA, etc. is what adds to the gloss of […]

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Artificial Intelligence Demystified

Introduction Artificial Intelligence has become a very popular term today. There is sure to be at least one article in the newspaper daily on the revolutionary advancements made in the field. But, there seems to be some confusion about what AI really is. Is it Robotics? Will the Terminator movie actually come true? Or is it something that has crept into our daily lives without us even realizing it? This article will give you a broad understanding on the buzzwords […]

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The 15 Most Popular Data Science and Machine Learning Articles on Analytics Vidhya in 2018

Introduction What is the one thing you enjoy most about Analytics Vidhya? The most popular answer we receive (and have received since Kunal transformed his idea into reality) is the content we publish. Our content is the one thing take pride in, and 2018 saw us take our high-quality content to a whole new level. We launched multiple top-quality and popular training courses, published knowledge-rich machine learning and deep learning articles and guides, and saw our blog visits cross 2.5 million […]

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The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

Introduction What’s the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Ask any data scientist, and they’ll point you towards GitHub. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. But that’s not all. It acts as a learning tool as well. How, you ask? I’ll give you a hint – open […]

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2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning trends in 2020 – and hear from top experts like Sudalai Rajkumar and Dat Tran!   Introduction 2020 is almost upon us! It’s time to welcome the new year with a splash of machine learning sprinkled into our brand new resolutions. Machine learning will continue to be at the heart of what we do and how […]

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Gradient Descent in Python: Implementation and Theory

Introduction This tutorial is an introduction to a simple optimization technique called gradient descent, which has seen major application in state-of-the-art machine learning models. We’ll develop a general purpose routine to implement gradient descent and apply it to solve different problems, including classification via supervised learning. In this process, we’ll gain an insight into the working of this algorithm and study the effect of various hyper-parameters on its performance. We’ll also go over batch and stochastic gradient descent variants as […]

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How I used NLP (Spacy) to screen Data Science Resumes

Resume making is very tricky. A candidate has many dilemmas, whether to state a project at length or just mention the bare minimum whether to mention many skills or just mention his/her core competency skill whether to mention many programming languages or just cite a few whether to restrict the resume to 2 pages or 1 page These dilemmas are equally hard for Data Scientists looking for a change or even for aspiring Data Scientist. Now before you wonder where […]

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