Advanced Course in Artificial Intelligence and Machine Learning
Why learn Artificial Intelligence and Machine Learning
Data Scientist Job has been named as the “Sexiest Job of the Century”. Being a Data Scientist opens up a world of opportunities for you. The field is complex and expanding at an exponential pace. With every passing day, new algorithms are released. While it creates new opportunities, it also means that the entry barriers to enter the field of Artificial Intelligence are growing higher by the day.
Read the Top Reasons for learning “Artificial Intelligence and Machine Learning” below
What are some of the Common Uses of Artificial Intelligence?
- Alexa/Google/Siri are some of the most common use cases of AI.
- Google Reply Promoter is an everyday use case of AI.
- Product Recommendations in Amazon
- Spam detectors in Gmail and Yahoo are some very common areas where AI is being used.
- AI is also used for Face Detection, Voice Recognition and
- Artificial Intelligence has a very huge use-case in the field of Healthcare, Medical, and Cancer Care
Top Reasons for Learning Artificial Intelligence and Machine Learning
Required Skill of the Century: Please note that AI is becoming the Skill Required to survive and excel in the Industry. Artificial Intelligence is expected to Automate and replace 55 Mn Jobs across various Industries.
- AI is everywhere: Whether you like it or not, the products that you are using are fast adopting Artificial Intelligence.
- Data, Data, Data: 2.7 quintillion bytes of data are being generated every day. This data, which we generate in by our actions are now being processed by Smart Algorithms to make Smarter decisions. Organizations are paying top dollars to get an Insight from these algorithms on an everyday basis. Data scientists write models that generate insights from these models.
- Career Opportunities: A gateway to career opportunities await someone who has picked up Artificial Intelligence Skills.
- Vast Field of Choice: You could pick up a career in Natural Language Processing, Supervised Learning, Unsupervised Learning, Decision Management and a multitude of fields.
- The pool of Opportunities: With all large organizations hiring top data scientists, there is a Pool of Opportunities out there to be tapped.
Is the demand in Artificial Intelligence Job Markets for Real or it is hyped up?
In research conducted and published by the World Economic Forum, 1.33 Million Jobs will be created now through 2025 in Artificial Intelligence.
Based on a survey carried out by World Economic Forum, 54% of employees of large companies would need significant re- and up-skilling in order to fully harness the growth opportunities offered by the growth and implementation of Artificial Intelligence and Machine Learning.
What are the pre-requisites for a Course in Artificial Intelligence and Machine Learning?
- High School Mathematics
- Concepts of Programming
- Python or R as Programming Language
How to Get Trained in Artificial Intelligence
Artificial Intelligence is a very complex field, which is constantly evolving. As above, the knowledge required goes beyond just knowing the algorithms, across to learning the application of the algorithms. In fact, Data Scientists spend a significant amount of time in Data Pre-processing, Feature Selection, which is akin to art.
The most preferred route to becoming an Artificial Intelligence Expert is to go through a Class Room Coaching in Artificial Intelligence. Devu.in provides Advanced Certification in Artificial intelligence Course via ClassRoom Coaching in HSR Layout, Bangalore and Live Online Training in Artificial Intelligence. The Live Online course in Artificial Intelligence can also be availed in their ClassRooms in their Centers in Rammurthy Nagar and Noida.
There are, of course, other options for one to become an Artificial Intelligence expert via Self-Study, MOOC and Youtube videos, You could see the comparison and benefits of each of these modes of access in a section of devu.in.
Click here to download the upcoming batch details.
Partial List of Topics Covered in Artificial Intelligence Certification Training Course in Bangalore at devU.in
Data Science Overview
Introduction to Data Science
Different Sectors Using Data Science
Purpose and Components of Python
Introduction to Statistics
Statistical and Non-statistical Analysis
Major Categories of Statistics
Statistical Analysis Considerations
Population and Sample
Statistical Analysis Process
|Machine Learning Approach|
Supervised Learning Model
|Regression Linear regression|
|Multiple Linear Regression|
|Multiple Linear Regression|
|K Nearest Neighbors|
Unsupervised Learning Models
|Apriori association rules|
|Sklearn for machine learning model|
Data Visualllization with MatPlotLib
|Introduction to Data Visualization|
|Bar graphs and histograms|
What is Artificial Intelligence?
Artificial Intelligence is a field, that uses Scietific Methods, Processes, Algorithms and Systems to extract knowledge and insight from data.
What is a Data Scientist?
Data Scientists are people with some mix of coding and statistical skills who work on making data useful in various ways
Does Artificial Intelligence Requires Coding?
Yes, it does. You could do in C++, Java, R or Python, however, Python is the most common language for Artificial Intelligence
What Programming Language is helpful for Artificial Intelligence?
Python and R are the preferred languages for Data Scientists
What skills do I need to become a Data Scientist?
The Skills required to become a Data Scientist are, Programming Skills, Analytical and Data Interpretation Skills, Business Communication Skills, Mathemtically and Statistical skills
What is the best way for somebody to get started on Artificial Intelligence?
There are lots of resources online. You could also take a certification course with Coursera or edX. However, if you want a disciplined approach to Artificial Intelligence, you coud go for a ClassRoom course with devU.in
Is Python better or R better for Artificial Intelligence?
Python and R are both equally good for Artificial Intelligence, however, if you had to deploy your models, Python would be a better choice, due to the large number of frameworks available in Python
How do I become a Data Scientist?
Artificial Intelligence is a culmination of Stats, Maths, Programming, Data Management and Modelling. Unless you have a good grounding in each of these areas, you are unlikely to succeed as a Data Scientist. You could take an online course to excel these skills, or else, tkae a course with devU.in
Do I need a Masters/PHD to become a Data Scientist?
No, you don't
Will I be able to work Overseas as a Data Scientist?
Absolutely, with a significiant skill-gap in the area of a Artificial Intelligence across the globe. Having Skills in Artificial Intelligence is absolutely a plus for you to work as a Data Scientist anywhere in the world
In the Context of Artificial Intelligence Certification Training, what is Naïve Bayes Algorithm?
Naive Bayes is a very simple and powerful algorithm for predictive modeling. It is a classification algorithm to address binary and multi-class classification problems. It is called naive Bayes because the calculation of the probabilities for each hypothesis are simplified to make their calculation easy to control and tractable.
Naive Bayes classifiers are a set of algorithms (classification) based on Bayes’ Theorem. It is not a single algorithm but a group of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other.
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- Students 195 students
- Max Students50
- Duration80 hour
- Skill levelintermediate
- Re-take course2