Artificial Intelligence & Machine Learning
Why you should learn machine learning?
“Machine Learning is the new SQL for Big Data “
This illustrates that machine learning will be a major bifurcation in 2018.
Machine Learning is no longer just a niche subfield of computer science but technology giants have been using it for
years – Machine learning algorithms power Walmart product recommendations, surge pricing at Uber, fraud detection
at top financial institutions, content that Twitter, LinkedIn, Facebook and Instagram display on social media feeds or
Google Maps. Machine learning products are being used daily, perhaps without realizing it. The future of machine
learning is already here, it’s just that machine learning career is exploding now because of smart algorithms being used
everywhere from email to mobile apps to marketing campaigns. If you are in search of the most in-demand and mostexciting
career domains, gearing up yourself with machine learning skills is a good move now.
Machine Learning is the shining star of the moment. With every industry looking to apply AI in their
domain, studying machine learning opens world of opportunities to develop cutting edge machine learning applications
in various verticals – such as cyber security, image recognition, medicine, or face recognition. With several machine
learning companies on the verge of hiring skilled ML engineers, it is becoming the brain behind business intelligence.
Netflix announced prize worth $1 million to the first individual who could enhance the accuracy of its recommendation
ML algorithm by 10%. This is clear evidence on how significant even a slight enhancement is in the accuracy of
recommendation machine learning algorithms to improve the profitability of Netflix. Every customer- centric
organization is looking to adopt machine learning technology and is the next big thing paving opportunities for IT
professionals. Machine learning algorithms have become the darlings of business and consumers so if you want to put
yourselves somewhere in the upper echelon of software engineers then this is the best time to learn ML.
- Lectures 83
- Quizzes 0
- Duration 68 hours
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Self
Machine Learning and Artificial Intelligence
Introduction to Machine Learning and Artificial Intelligence:
Introduction to R and Python:
Overfitting and Regularization
Classification model with Logistic Regression
Support Vector Machines (SVM)
Introduction to Deep learning
Tensorflow and Keras
YOLO - You Only Look Once
Recurrent Neural Network (RNN):
Natural Language Processing (NLP):
Building end to end large scale AI, ML models