AI or Data Science? | Artificial Intelligence And Data Science Career | Simplilearn
Why is there often confusion surrounding where to start when it comes to approaching a career in AI or data science? There are many intersections and overlaps between AI and data science. AI has numerous subsets, like Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). With many career opportunities in both fields, there are lots of conflicting perspectives on educational paths for starting a career in one of these fields.
Join Simplilearn on Thursday, October 29, 2020, at 9 PM IST (8:30 AM PDT) for a talk with Ronald van Loon, CEO of Intelligent World and a Simplilearn Advisory Board member. Ronald will give you insights into:
1. The main differences between AI and Data Science
2. The industries and types of companies hiring Data Science and AI professionals
3. The most popular and in-demand types of careers in both fields
4. Fundamental learning and educational paths that can help people choose which career path is best for them
5. Specific examples of educational paths for a career in data science and for a career in AI
🔥Free AI Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AIorDataScience&utm_medium=Description&utm_source=youtube
🔥Free Data Science : https://www.simplilearn.com/data-science-free-course-for-beginners-skillup?utm_campaign=AIorDataScience&utm_medium=Description&utm_source=youtube
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur
#ArtificialIntelligenceCareer #DataScieneCareer #ArtificialIntelligenceAndDataScienceJobOpportunities #ArtificialIntelligence #AI #SimplilearnAI #RiseofAI #FutureOfAI#Simplilearn
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://bit.ly/2AlrLiB
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
Why is there often confusion surrounding where to start when it comes to approaching a career in AI or data science? There are many intersections and overlaps between AI and data science. AI has numerous subsets, like Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). With many career opportunities in both fields, there are lots of conflicting perspectives on educational paths for starting a career in one of these fields.
Join Simplilearn on Thursday, October 29, 2020, at 9 PM IST (8:30 AM PDT) for a talk with Ronald van Loon, CEO of Intelligent World and a Simplilearn Advisory Board member. Ronald will give you insights into:
1. The main differences between AI and Data Science
2. The industries and types of companies hiring Data Science and AI professionals
3. The most popular and in-demand types of careers in both fields
4. Fundamental learning and educational paths that can help people choose which career path is best for them
5. Specific examples of educational paths for a career in data science and for a career in AI
🔥Free AI Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AIorDataScience&utm_medium=Description&utm_source=youtube
🔥Free Data Science : https://www.simplilearn.com/data-science-free-course-for-beginners-skillup?utm_campaign=AIorDataScience&utm_medium=Description&utm_source=youtube
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur
#ArtificialIntelligenceCareer #DataScieneCareer #ArtificialIntelligenceAndDataScienceJobOpportunities #ArtificialIntelligence #AI #SimplilearnAI #RiseofAI #FutureOfAI#Simplilearn
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://bit.ly/2AlrLiB
For more updates on courses and tips follow us on:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn/
– Website: https://www.simplilearn.com
