machine learning – Magnimind Academy

16
Jun

Ai And Machine Learning Facilitate People’s Lives In Terms Of Many Aspects

In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.

16
Jun

A Simple Introduction To Natural Language Processing

Among all the capabilities of artificial intelligence, probably the biggest one is its ability to extract meaning from human language. And natural language processing (NLP) is the subset of artificial intelligence that makes this possible. You can consider natural language processing as a method for machines to analyze, understand, and obtain meaning from human language in an effective and smart way.

15
Jun

Top 4 Benefits Of Bootcamps Over Online Courses

Whether you want to learn a new skill for a probable career change, or hone an existing skill for better job opportunities, there’s always a battle between what to choose – a bootcamp or an online course. If you too are facing the same dilemma, we would suggest you to opt for bootcamps (like Data Science, Machine Learning etc). Wondering why? Here are the top four benefits bootcamps have over online courses:

14
Jun

Machine Learning Professionals Need Degree!(?)

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.

19
May

Differences Between Ai And Machine Learning

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.

19
May

An Introduction To Machine Learning Jobs

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.

18
May

Why Data Scientists Are Future Jobs In The World?

Data scientist has topped the list of best jobs in the U.S. for three years in a row, according to Glassdoor. Not only a huge demand exists for these professionals but there’s a significant amount of shortage too in getting qualified data scientists.

18
May

What Is The Data Science Essential?

Unquestionably, the job of a data scientist is paid very well and there’s an increasing demand for good data scientists. As a result, there’re lots of questions regarding what are the key skills required to become a data scientist. Truth be told, there isn’t any crystal-clear definition of a data scientist.

05
May

What Are Data Workflows For Machine Learning?

You may already know that machine learning is all about developing mathematical models in order to comprehend data. Here, a diverse range of technology and tools is used to identify patterns among large datasets to improve a knowledge base or a particular process. Though the concept of machine learning isn’t new, with the emergence of big data, the technology is gaining a huge momentum these days.

22
Apr

How & Why Machine Learning Methods Work?

Machine learning refers to a data analytics technique, which teaches computers to perform what naturally comes to humans – learning from experience. The term was coined in 1959 by Arthur Samuel – an American pioneer in the fields of artificial intelligence and gaming. Machine learning is unquestionably the latest buzzword in the tech landscape as it’s one of the most interesting and promising subfields of computer science.

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