AI News, Hopkins course explores artificial intelligence and deep learning
Boost Your Skills with New Online Technology Courses
This three to four hour course also provides an introduction to major iOS libraries/Cocoapods such as CLLocation and MapKit.Developing Android AppsLearn the tools, principles and best practices of mobile app development and build a cloud-connected Android app with this free, highly popular 60-hour course from Udacity.
Swift was one of the top-paying skills in the latest Salary Survey, with an average annual salary of $101,631 (a 3.2 percent increase from 2017): Acquiring “Big Data” skills can boost the careers and marketability of anyone in today’s workforce.
Coursera provides an “essential skills collection” that covers basics such as business case development, project planning, sentiment analysis and Python: ●
This free, beginner-level course will teach you to build “mini-programs” on the WeChat platform, the most popular messaging app among Chinese consumers, in about four weeks.
The rise of self-driving and electric cars will create more than 100,000 jobs in the U.S. over the next decade, including 30,000 jobs for engineers with computer science-related degrees, according to a report from Boston Consulting Group (BCG) and Detroit Mobility Lab (DML).
Self-Driving Fundamentals: Featuring ApolloThis course will help you take the first step down the road to a new career by teaching you how to identify key parts of self-driving cars and utilize Apollo architecture including: HD Map, localization, perception, prediction, planning and control.
Learn Machine Learning Using These Online Courses
If you’re considering a career in artificial intelligence, you’re on track for an exciting future!
The machine learning market is expected to grow at a compound annual growth rate of 44.1%, from $1.41 billion in 2017 to $8.81 billion in 2022.
According to AI Index, a project by Stanford University, the number of active AI startups increased by 113% from January 2015 to January 2018, and venture capital funding for U.S. AI startups grew by 350% from 2013 to 2017.
We put together this list of the best machine learning online courses for you to check out, whether you’re an experienced computer scientist or a beginner.
You’ll also explore algorithms like classification, regression, clustering, and dimensional reduction, along with popular models such as train/test split, root mean squared error, and random forests.
Best suited for: students with knowledge of data science fundamentals Machine Learning in Python (Springboard): This free, well-structured, 12-hour learning path offers students an introduction to Python in a flexible way that is full of concise yet rigorous hands-on tutorials.
Best suited for: tech professional curious about how ML can change the way they work Data Science: Machine Learning (Harvard): This course from Harvard University will teach you how to build a movie recommendation system while learning the fundamentals of machine learning that power it.
Fast.ai aims to make deep learning easier to use and to get more people from all backgrounds involved in the field through its free courses for coders, software libraries, cutting-edge research, and vibrant community.
Best suited for: engineers wanting to get better at reinforcement learning Reinforcement Learning (Georgia Tech): Taught by two experts in the reinforcement learning field of research at Georgia Tech, this course will help you participate more deeply in the field’s research.
Best suited for: engineers who want to participate in the field of reinforcement learning research Deep Learning Specialization (Deeplearning.ai): This course is for you if you want to take a serious dive into the world of convolutional networks and work on case studies ranging from healthcare and natural language processing to autonomous driving and music generation.
Best suited for: engineers wanting to specialize in deep learning techniques Bioinformatics Specialization (UC San Diego): Are you ready to apply your machine learning and deep learning knowledge to genome sequencing and molecular evolution?
Best suited for: engineers wanting to specialize in natural language processing Machine Learning Engineering Career Track (Springboard): While most graduate programs and other machine learning online courses focus on AI/ML concepts, Springboard’s bootcamp wants students to apply what they’re learning.
Artificial Intelligence for Cybersecurity
The Artificial Intelligence for Cybersecurity course is a three-day course targeting cybersecurity professionals who want to understand AI and AI professionals who want to work with cybersecurity.
The structure of the course is as follows: In this module, we cover some fundamental concepts, properties, and mechanisms in security such as: Here, we cover deep learning fundamentals from a security perspective.
Examples of themes covered include: making websites secure using AI techniques for injection using regular expressions and identifying patterns and matching with existing scores (a higher the score is an indicator of vulnerability.
This section focuses on security around web applications covering themes like: This section will explore security issues in systems where computation is carried out to sense, analyse, and control physical system elements.
This section provides an in-depth view of threat hunting in memory, file system and network data and an introductory analysis of malicious programs.
Practical sessions will elaborate on key concepts of incident handling, cyber threat hunting and digital investigation along with detailed analysis of real-world case studies.
- On Thursday, December 12, 2019
Webinar : AI & Deep Learning Demystified
We are Applied Engineering International School of Engineering (INSOFE) offers novel executive education programs in Data Science/Analytics. INSOFE is the ...
Our Future with Intelligent Systems (It’s Better than You Think) | Bart Paulhamus | TEDxMidAtlantic
Researcher, Bart Paulhamus, and teammate, Glenn Olesen, offer an alternative and optimistic perspective to today's bleak headlines about the future of ...
8.6 David Thompson (Part 6): Nonlinear Dimensionality Reduction: KPCA
Using Machine Learning with GA - Whiteboard Friday
Machine Learning is essential to stay ahead in the fast evolving digital world. In this whiteboard Friday we discuss how machine learning can be coupled with ...
Forget artificial energy, embrace Living Energy | Ermi van Oers | TEDxAmsterdam
"We flip switches all day without giving it a second thought. We are taking energy for granted. And by doing that, we are taking nature for granted. Ermi van Oers ...
DataWorks Summit 2018, SanJose Day 1 Keynote
DataWorks Summit 2018 San Jose Day 1 Morning Keynote Speakers: Rob Bearden, Hortonworks, CEO Rob Thomas, IBM, General Manager of IBM Analytics ...
#AIPOSSIBLE & Data Science Toolbox
Join Brian Comeau to discuss Artificial Intelligence and other disruptor technologies that are transforming the economy and the way we live and work.
AI and Machine Learning in Health Programs
After viewing the webinar recording, please fill out our webinar evaluation form: ...
Vernberg Lecture 2019: Argye E. Hillis, MD
2019 Winona B. Vernberg Distinguished Lecture Series “Mechanisms of Stroke Recovery: Evidence from Functional and Dysfunctional Imaging” Dr. Argye Hillis ...
Data Scientist's Toolbox: Course Motivation