Orlo  Gottlieb

Orlo Gottlieb


Data Science vs Machine Learning vs Artificial Intelligence

In today’s modern world the people will be keen to search those buzz words on the internet. Certainly as Machine Learning, Data Science, Artificial Intelligence.Seems you have chased it too. Well, My article gives you a better understanding.

From the above picture illustrates, How the ML /DL/ AI been discovered and way through the tech world. Hope this is not a new one. Every year new advanced terms/libraries have been introduced often that keeps an addon for newer discovery

#artificial-intelligence #data-science #machine-learning

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Data Science vs Machine Learning vs Artificial Intelligence
Otho  Hagenes

Otho Hagenes


How To Start A Career In Artificial Intelligence In 2021

Artificial intelligence (AI) and machine learning is already shaping our future, and the demand for talented engineers is skyrocketing. According to the Market Research Future report, the machine learning market is projected to be worth almost $31 billion by 2024.

At SkillUp 2021, Nitin Gupta, technology head for digital innovations at India Today and Great Learning mentor and alumni, spoke in detail about artificial intelligence as a career.

With 14 years of experience in engagement and delivery, technical program management and agile software development, Gupta has worked with companies like Lenskart and Senior World. He also co-founded Zercross, a mobile and web application startup.

#events #artificial intelligence career #artificial intelligence jobs #career in artificial intelligence #data analyst #data scientist #machine learning career #machine learning engineer #machine learning researcher

Cyrus  Kreiger

Cyrus Kreiger


How I'd Learn Data Science If I Were To Start All Over Again

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting.

I’m aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that’s ok, the important thing is to learn and enjoy it.

So, talking from my own perspective and knowing how I learn better I designed this path if I had to start learning Data Science again.

As you will see, my favorite way to learn is going from simple to complex gradually. This means starting with practical examples and then move to more abstract concepts.

#data-science #machine-learning #artificial-intelligence #python-top-story #data-science-top-story #learn-python #learn-data-science

Uriah  Dietrich

Uriah Dietrich


How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

Tia  Gottlieb

Tia Gottlieb


Most popular Data Science and Machine Learning courses — July 2020

There are a lot of great online resources and websites on data science and machine learning that one can leverage in order to learn something new or maybe work on an existing skill now. The Age of Internet as they say, has made it extremely easy to access information on the go.

One of the hardest things to do in technology is disrupt yourself

- Matt Mullenweg

I have been approached on LinkedIn in through messages and connection requests regarding the same question countless times. And it is always something like this,

“ What exactly should I do to learn Data Science and Machine Learning….which courses to do…… and basically how to start? “.

The purpose of this article is to answer this question and along with it to give the readers a list of the most popular courses in this field currently.

Below you will find online courses which will help you accelerate your growth in the field of data science. But know that watching videos is just going to give you a seat on the ML council, it is not going to grant you the rank of an ML master if you know what I mean, for that you will have to work on practical real-world problems and get your hands dirty with data.

Photo by Author from SWU

What I can say though is that these courses will take you to that level from where you will be capable enough to figure out what you should do next. It is just a matter of starting out now!

And that is when you will find this table helpful. These course teach you the basics all the way to the advanced topics, and it is advisable that you take your time with each and everything and understand at least the basic concepts properly before you jump in on the code — something I am sure you would want to do from the word go!

#machine-learning #artificial-intelligence #deep-learning #data-science #data #data science

Ananya Gupta

Ananya Gupta


Start a Career in Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.

The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.

AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!

The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:

Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.

Subsets of Machine Learning

Neural Networks
Natural Language Processing (NLP)
Deep Learning

How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.

Specific Jobs in AI

  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence (BI) Developer

The Future of AI

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.

If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.

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