Opinion

Exploring the best PC Building rigs for performing deep learning computations in every budget range

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The popularity of Deep learning has risen to its peak with all the modern developments in artificial intelligence. The rise to prominence and the wide array of applications that deep learning can perform are magnificent. The revolution of deep learning is bound to continue for the upcoming years as intensive research is being done on many major topics of interest.

If you are aiming to become proficient at deep learning, you will eventually need a powerful system. A system with which you can tackle the wide variety of challenging tasks that are available to you on the internet for deep…


Exploring the seven best free tools to utilize for benefiting you in your Data Science and machine learning journey

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“Machine learning will automate jobs that most people thought could only be done by people.” ~Dave Waters

With the rise in popularity of Data Science and machine learning, everyone wants to adopt a few practices to accomplish better results in these aspects. Luckily for all of us, with all these continuous progressions, there are a bunch of free tools that we can utilize to improve the quality of the models we build and the projects we construct.

All these rapid progressions in machine learning and Data Science has also lead to the rise of some fantastic free machine learning tools…


Using the sympy Python library to simplify differential and integral calculus for Machine Learning

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Without mathematics, there’s nothing you can do. Everything around you is mathematics. Everything around you is numbers. — Shakuntala Devi

Mathematics is a significant aspect of machine learning. While some may absolutely adore math, others may dislike it. However, it is essential to have at least some knowledge of math and understand the concepts of probability, statistics, and calculus to succeed in solving machine learning tasks.

In this article, we will focus on differential and integral calculus. These two concepts are vital aspects of learning machine learning concepts. …


The six programming tips that every programmer and data scientist should follow

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“Programming isn’t about what you know; it’s about what you can figure out.”Chris Pine

The evolution of the numerous trends in the software industry has made coding one of the most significant skills for an individual developer to possess. Programming in the modern world is the ability of programmers and developers to focus on a specific task to accomplish the desired results and make it public to a wide range of public audiences to benefit from and utilize.

Acquiring the essential coding skills is fabulous for cracking most interviews and developing a bunch of cool projects that you…


Exploring the five significant soft skills that every successful data scientist must have!

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“The world is one big data problem.” — by Andrew McAfee

Data Science is at the peak of its popularity. The rapid progression in Data Science is bound to create multiple more job opportunities and position vacancies for Data Science aspirants and enthusiasts. Every interested individual should seek to capitalize on these golden opportunities whenever they get the chance to do so.

While having a piece of practical knowledge and theoretical understanding of the various concepts of Data Science is significant to achieve success from an individual standpoint, it is necessary for all data scientists to consider that soft skills…


The Five Advanced Natural Language Processing Topics and Project Ideas That You Should Add to Your Resume

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Natural Language Processing (NLP) is one of the most intriguing and fascinating aspects of Artificial Intelligence. With the continuous evolution and development of NLP in recent years, it is essential to know about the most advanced and high-quality topics that every individual Data Science enthusiast or aspirant must focus on to achieve a higher rate of success in the field.

The interactions between the software and humans is becoming significantly easier, thanks to the advancements in the field of Natural Language Processing. …


Uncovering the advancements in artificial intelligence, neural networks, and deep learning leading to the rapid development of chess engines. What does the future holds for these upcoming progressions?

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Chess is a fabulous game!

Chess is a two-player strategy board game played on a checkered board with 64 squares arranged in an 8×8 square grid. Played by millions of people worldwide, chess is believed to be derived from the Indian game chaturanga sometime before the 7th century.

Chess has gained tremendous popularity, and it is leading to a revolutionary trend due to more people getting involved with chess at the time of this global pandemic. So, there is no better time to analyze the role of artificial intelligence in improving the quality of chess.

Artificial Intelligence is a revolution…


7 Detailed Tips To Help You Perform Better In Data Science And Machine Learning Interviews

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Far and away the best prize that life offers
is the chance to work hard at work worth doing.

Theodore Roosevelt

Preparation for interviews related to Data Science and machine learning can sometimes be hard and excruciating if you don’t know what exactly do you need for acing the interview process. Out of the billions of possible questions, you are always wondering what topic you might be quizzed on or what knowledge is expected from you by the interviewer.

Having participated and successfully cracked interviews from about five different companies has made me realize some of the good and…


Analyzing the 8 best visualization techniques in Exploratory Data Analysis for Data Science projects

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Visualizations are a significant aspect of any data science project.

In Data Science, having a clear approach and orientation to solve the particular problem statement is crucial. Luckily, the tools required for Data Science offer the users and developers an excellent way to create to visualize the data and datasets to build effective models.

Thanks to visualization, most complex problems can be broken down into simpler elements for data scientists to figure out the optimal model architectures and solutions to complicated tasks. Hence, visualizations play a vital role in the successful completion of every major Data Science project. …


Opinion

15 factors every Data Science enthusiast must work on to have more success as a Data Scientist

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“Successful people do what unsuccessful people are not willing to do. Don’t wish it were easier; wish you were better.”

Jim Rohn

Data Science has emerged to be one of the most popular and groundbreaking subjects of the last decade. This emerging trend is set to continue for the upcoming years. Data Science is at the peak of evolution, and with the rapid progression and advancements in technology, Data Science is here to stay and dominate the modern era.

Apart from being regarded as one of the main prospects of offering jobs to a lot of Data Science enthusiasts…

Bharath K

Love to explore and learn new concepts. I am extremely interested in artificial intelligence, deep learning, robots, and the universe.

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