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AI vs Bias: Building Fair and Responsible Fraud Detection Systems
May 7, 2025 | Artificial Intelligence blog
Fraud detection has become a battlefield where AI combats against ever-evolving threats. From financial transactions to cybersecurity, machine...
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What Need To Know In A Data Scientist Career?
Jun 16, 2021 | Data Science Blog
From businesses and government institutions to non-profit organizations, there is a seemingly-infinite quantity of data that can needs to be sorted and interpreted to get information that can be applied for a wide array of purposes. With “big data” being the buzz word these days, pursuing a data scientist career has become one of the hottest trends of modern times. Whether you take up a full-time data science course or opt for a data science bootcamp in Silicon Valley, you’ll need to known certain trending technologies (as mentioned below) to make a mark in this field:
How a Data Scientist works?
Jun 16, 2021 | Data Science Blog
Today, a huge number of businesses across the globe are striving to make sense of the massive amount of disparate data captured by them through various means. With the help of data scientists, they can transform this inordinate volume of data into actionable insights which can influence their operations heavily. And that’s probably the biggest reason the data scientist career is considered one of the most attractive in the tech field. While data science leaves a profound impact on the tech field, it has also started transforming almost all other sectors – from telecommunications and retail to agriculture and health, just to name a few.
How Do You Become A Data Scientist Without A Computer Science Background?
Jun 16, 2021 | Data Science Blog
Though having a computer science background or a degree would help you become a data scientist, it’s not a must-have thing if you’ve got your eyes set on a career in data science. According to DJ Patil (who became the first chief data scientist of the US in 2015), data science doesn’t care about if you’ve got a degree or what you majored in. The thing that really matters is what you do with data.
What Are Data Mining Applications And How Can I Learn?
Jun 16, 2021 | Data Science Blog
Data mining refers to the process where a large amount of data is analyzed to extract new and hidden information from it, which can then be used to boost business efficiency. In other words, you can say data mining searches for valid, hidden, and potentially useful patterns in large data sets. Since data mining needs multi-disciplinary skills, you’ll have to use statistics, machine learning, AI (artificial intelligence), and database technology. Since data mining helps you discover previously unknown/unsuspected relationships amongst the data, you can use the insights gathered from it for scientific discovery, sales and marketing, fraud detection, etc.
Why Do People See Data Science As Part Of The Future?
Jun 16, 2021 | Data Science Blog
Data science is an extremely dynamic field where a significant number of aspects keep on changing on a regular basis and we can expect them to bring even more value in the upcoming future. Despite the omnipresence of data science professionals in almost all business sectors these days, the field is still in its nascent stage. While it’s true that the extensive use of this field is currently limited to a few fields, over the next few years, we can expect it to start powering a lot of fields in a similar way. In this post, we’re going to explain why data science is being considered the future of the tech field.
What Problems Do We Face As A Data Scientist?
Jun 16, 2021 | Data Science Blog
In today’s business landscape, data science has become almost ubiquitous and is steadily gaining control
over the tech field. With a massive amount of data being generated on a regular basis, a huge number of
organizations are trying to leverage the power of data science. With the help of data scientists,
businesses can come up with effective solutions for their problems and predict present and future
trends, which directly lead to success. But as with any other field, data science also comes with its fair
share of difficulties.
What Is Blockchain Technology And How Does It Work?
Oct 21, 2020 | Blockchain Blog
Though the blockchain technology was conceptualized as a core element of the cryptocurrency Bitcoin,
today we can see a significant number of blockchain applications and businesses across the globe are
steadily adopting the technology to leverage its full potential. If you’re an aspiring blockchain
enthusiast, keep on reading this post as we’re going to take a detailed look at the blockchain technology
and its working method.
Where And How Can I Use The Certificates I Received From Magnimind Academy?
Oct 14, 2020 | Magnimind Academy Blog
You’re probably aware of the fact that data science and machine learning together with Python as the
preferred programming language of data scientists and developers alike are all being considered the
hottest career paths in the IT field. Businesses across the globe are increasingly becoming reliant on
these fields and are hiring trained professionals who’ll help them rise above the competition.
Magnimind Academey, one of the leading names in the field of data science training provider, might be
best known for its full-stack data science bootcamp in Silicon Valley but it also offers a broad range of
mini bootcamps on various related fields including machine learning and Python.
In this post, we’re going to discuss why any of the certificates obtained from Magnimind Academy
would help you make a big leap forward in your career.
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Sep 17, 2020 | Uncategorized
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Why you need to learn Python?
Jul 14, 2020 | Python Blog
If you’re a regular reader or follower of programming and technology blog posts and news, you’ve probably noticed the rise of Python as lots of well-acclaimed developer communities like CodeAcademy and StackOverFlow have mentioned this as a major programming language. In the last few years, Python has become one of the most preferred languages for data scientists, developers, and software engineers because of its unmatched features. In this post, we’re going to discuss why obtaining a Python certification would help you take a big leap forward.
Where is Python used in the real world?
Jun 2, 2020 | Python Blog
Python is perhaps the most versatile programming language that has applications in different domains. Thanks to its features such as high-level in-built data structures, dynamic typing, and binding, Python can be used for rapid application development. This open-source programming language is user-friendly and easily available, which makes it the top choice even in the field of data science ad machine learning.
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What Makes Data Scientist The Hottest Job Of The 21st Century?
Jun 14, 2022 | Data Science Blog
The Glassdoor Report last year (Glassdoor’s 50 Best Jobs In America For 2018) named data scientist as the best job in the US for three years running. The report took into consideration three key factors, namely job satisfaction rating, median annual base salary, and the number of job openings. Each of these three factors was given equal importance, and it was found that data science jobs excelled across all three.
Top 5 Tips – Cracking Data Science Interviews
Jun 14, 2022 | Data Science Blog
Data science has emerged as an extremely lucrative career choice where big companies pay their data scientists top dollars. As experts are calling this domain the one with hot jobs for the future, more and more people are rushing to learn ways that would help them crack their data science interviews.
Machine Learning Professionals Need Degree!(?)
Jun 14, 2022 | Data Science Blog, Machine Learning Blog
During the past few years, we’ve been experiencing an upward trend in talent acquisition in the field of machine learning. Though this field has traditionally been considered as something that only institutions working with huge amount of resources could utilize, wide implementation of machine learning today has transformed the scenario completely. From e-commerce to software product to different business landscapes – machine learning is being implemented to a great extent. As a result, there’s a huge demand of machine learning professionals across industries, throughout the globe.
What Is The Difference Between A Data Scientist And A Data Analyst?
Jun 14, 2022 | Data Science Blog
In the past few years, the field of data science has grown exponentially. In today’s information-driven world, data is playing a crucial role in every industry – from cybersecurity, healthcare, online retail, banking and insurance, to digital marketing, SEO and several others. No wonder why businesses have started relying on data heavily. And this triggers a boom in diverse job openings related to data science. Among all these positions, perhaps the most overlapping two are that of a data scientist and a data analyst. There’re many who get confused between these two titles and some of them even think that data scientist is just another glammed up word for data analyst.
Differences Between Ai And Machine Learning
May 19, 2022 | Artificial Intelligence blog, Machine Learning Blog
With exceptional emergence and implementation of big data and analytics, both AI and machine learning have become two buzzwords in the industry right now. And they often seem to be used interchangeably. However, they shouldn’t be considered as one thing since there’re some clear differences that make AI and machine learning separate. If you’re like a majority of the marketers, and are perhaps planning to any or both of these, it becomes all the more important to have a solid understanding of the differences between them.
An Introduction To Machine Learning Jobs
May 19, 2022 | Machine Learning Blog
With the heavy impact of artificial intelligence on almost every facet of society, there’s no doubt that businesses have already started harnessing the power of this technology. As a result, a huge demand of proper talents can be seen today. We all know that machine learning has the potential to change today’s business landscape but the speed of this transformation heavily depends on the availability of talents.