What is
Artificial Intelligence?
Artificial intelligence is the simulation of intelligent, human-like processes by machines. The applications for it are nearly limitless and the industry is growing fast. Really fast! The AI market is forecast to grow from $419.7 million in 2014, to $5 billion by just 2020! Demand for AI specialists has never been greater, and top companies are competing for AI talent.
COMPUTER VISION
MACHINE LEARNING
ROBOTIC
NATURAL LANGUAGE PROCESSING
Industries Using AI Today
Finance
The use of AI in the financial services sector has many consumer benefits, from improving customer service to enhancing security. AI algorithms increase the speed and accuracy of credit applications, monitor your accounts for signs of fraud, and help manage your investments in the stock market.
Consumer Goods
AI is already in use in the gadgets you touch everyday. Think, for example, of the face detection on your smartphone, the smart speakers that answer your weather questions, and the home security cameras that send a text when your kids get home from school.
Transportation
Transportation has seen great leaps forward in the use of AI. There are autonomous vehicles that don’t require a human driver; smart traffic systems that can reduce congestion; and fleet optimization technology to improve the reliability of deliveries.
Healthcare
From algorithms that can examine different treatment alternatives and recommend the most effective cancer drugs, to helping identify medical issues in x-rays and CT scans—AI in healthcare has incredible applications.
Legal
AI is used to review lengthy legal contracts, draft legal documents, and provide a first screening of personal injury claims. AI bots have even been used to predict legal outcomes at the US Supreme Court, outperforming legal experts!
Computer Vision
Computer vision involves helping computers identify and process images in the same way humans do. You’ll see computer vision principles at work when a photo app organizes your snapshots by recognizing the different people in your photos. And computer vision is also used to help diagnose medical conditions, and enables a space rover to navigate the rocky surface of a planet it’s never seen.
Computer Vision
Computer vision involves helping computers identify and process images in the same way humans do. You’ll see computer vision principles at work when a photo app organizes your snapshots by recognizing the different people in your photos. And computer vision is also used to help diagnose medical conditions, and enables a space rover to navigate the rocky surface of a planet it’s never seen.
Computer Vision Experts
Need to Know
- Computer Science & Programming
• Python
• OpenCV• C++
• GPU/Parallel Computing - Math
• Statistics and Probability
• Calculus• Linear Algebra - Algorithms & Deep Learning Architectures
• Image transformations and filtering
• Feature detection
• Simultaneous localization and mapping (SLAM)
• Convolutional Neural Networks (CNNs)
• Region-based CNN’s
• Single-shot detection
• Recurrent Neural Networks (RNNs) - AI Frameworks and Libraries
• PyTorch
• TensorFlow• Keras
Computer Vision in Action
Social Media Face Filters
Lane Detection
Crop Monitoring
Jobs in Computer Vision
Sample Job Titles: Computer Vision Scientist, Computer Vision Engineer, Perception Software Engineer
Average Yearly Salary Range
From the AI Experts
Dr. Rana el Kaliouby founded Affectiva to bring emotional intelligence to the world of technology. In her own words: “We use computer vision and machine learning to recognize emotions as they manifest on your face, by observing how your eyebrow, your mouth, and your cheeks move, once an app recognizes emotions, it can respond to them in real time. This creates a lot of opportunity for personalizing how we and machines interact together.”
From the AI Experts
Dr. Rana el Kaliouby founded Affectiva to bring emotional intelligence to the world of technology. In her own words: “We use computer vision and machine learning to recognize emotions as they manifest on your face, by observing how your eyebrow, your mouth, and your cheeks move, once an app recognizes emotions, it can respond to them in real time. This creates a lot of opportunity for personalizing how we and machines interact together.”
Machine Learning
In machine learning, the goal is to develop algorithms that learn on their own from large datasets to make predictions and recommendations on the future use of that data. Deep learning is a really exciting form of machine learning that uses networks modeled on the structure of the human brain. It is a fast-growing field, with a wide-array of cutting-edge applications, including the creation of hyperrealistic special effects in film and gaming, the study of distant galaxies in space, and cancer detection.
Machine Learning
In machine learning, the goal is to develop algorithms that learn on their own from large datasets to make predictions and recommendations on the future use of that data. Deep learning is a really exciting form of machine learning that uses networks modeled on the structure of the human brain. It is a fast-growing field, with a wide-array of cutting-edge applications, including the creation of hyperrealistic special effects in film and gaming, the study of distant galaxies in space, and cancer detection.
Machine Learning Experts
Need to Know
- Computer Science & Programming
• Python
• C++
• Java
• R
• GPU and Parallel Computing - Math
• Statistics
• Calculus
• Linear Algebra
• Numerical Analysis - Machine Learning Libraries
• Naive Bayes Classifiers
• Supervised and unsupervised learning
• Linear regression
• Reinforcement learning
• Decision Trees
• Clustering - Data Engineer Fundamentals
• Data Modeling & Evaluation
• SQL
• Hadoop
• Spark
Machine Learning in Action
Directions and Navigation
Credit Card Fraud Detection
Streaming Service Recommendations
Jobs in Machine Learning
Sample Job Titles: Machine Learning Engineer, Business Intelligence Engineer, Data Scientist
Average yearly salary range
From the AI Experts
“I’m excited to see that more and more businesses are starting to adopt machine learning in their non-ML applications. Thanks to easy APIs and good tutorials smaller businesses can now make their apps and websites smarter with some basic algorithms.”
–Dominic Monn, Deep Learning Engineer
From the AI Experts
“I’m excited to see that more and more businesses are starting to adopt machine learning in their non-ML applications. Thanks to easy APIs and good tutorials smaller businesses can now make their apps and websites smarter with some basic algorithms.”
–Dominic Monn, Deep Learning Engineer
Robotics and Autonomous Systems
From self-driving cars to auto-navigating drones, AI extends into many parts of robotics and transportation. The ultimate aim is to use location and sensor data to create vehicles capable of operating without human input.
Robotics and Autonomous Systems
From self-driving cars to auto-navigating drones, AI extends into many parts of robotics and transportation. The ultimate aim is to use location and sensor data to create vehicles capable of operating without human input.
Robotics Experts Need to Know
- Computer Science & Programming• Python
• C++
• Object Oriented Programming
• Programming for Embedded Systems
• Coding Optimization
• Linux/UNIX Development Environment - Math• Statistics and Probability
• Control Systems
• Filters - Algorithms & Deep Learning Architectures
• Object Detection and Classification
• Control Systems
• Filters - AI Frameworks and Libraries
• PyTorch
• TensorFlow
• Robot Operating System (ROS)
Robotics and Autonomous Systems in Action
Self-Driving Cars
Agriculture Robots
Surgical Robots
Jobs in Robotics and Autonomous Systems
Sample Job Titles: Robotics Navigation Engineer, Autonomous Sensing Engineer, Embedded Software Engineer
Average Yearly Salary Range
From the AI Experts
“I believe that we are just scratching the surface in the advances on self-driving cars. The field of reinforcement learning (an advanced AI technique) have proven how powerful it can be.”
–William ver Valem Paiva, AI Engineer
From the AI Experts
“I believe that we are just scratching the surface in the advances on self-driving cars. The field of reinforcement learning (an advanced AI technique) have proven how powerful it can be.”
–William ver Valem Paiva, AI Engineer
Natural Language Processing
Natural Language Processing (NLP) is how computers are trained to understand, process, and manipulate spoken words and text. This has many applications, from translating different languages, to controlling devices using just your voice. Famous examples of NLP voice control include Apple’s Siri, Amazon’s Alexa, and Microsoft’s Cortana.
Natural Language Processing
Natural Language Processing (NLP) is how computers are trained to understand, process, and manipulate spoken words and text. This has many applications, from translating different languages, to controlling devices using just your voice. Famous examples of NLP voice control include Apple’s Siri, Amazon’s Alexa, and Microsoft’s Cortana.
NLP Experts Need to Know
- Computer Science & Programming
• Python
• C++
• C
• Java - Math
• Statistics and Probability
• Calculus
• Linear Algebra
• Data Modeling - Machine Learning Libraries
• Embeddings and Word2Vec
• Naive Bayes
• Hidden Markov Models
• Latent Dirichlet Allocations
• Recurrent Neural Networks
• Long Short-Term Memory Networks
• Sequence-to-Sequence Models
• Deep Learning Attention - AI Frameworks and Libraries
• PyTorch
• TensorFlow
• Keras
• MxNet
Natural Language Processing in Action
Translation Apps
Legal Document Processing
Smart Assistants
Jobs in Natural Language Processing
Sample Job Titles: Natural Language Computer Scientist, Language Engineer, Applied Scientist, Natural Language Processing
Average yearly salary range
From the AI Experts
Quill is an education non-profit that uses natural language processing to help students improve grammar and writing, and simplify grading for teachers. Now they’re looking for more AI specialists to keep students learning.
From the AI Experts
Quill is an education non-profit that uses natural language processing to help students improve grammar and writing, and simplify grading for teachers. Now they’re looking for more AI specialists to keep students learning.
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