Who & Why of Machine Learning Congress 2018

-



Yesterday I was talking to someone & he asked, many companies are organizing a lot of conferences on different topics. But we as an audience get confused where to go, which conference to attend and why to attend?

Well, then I thought, why not clear this confusion for the audience of Machine Learning Conference 2018.

The first question that comes in our mind is:

Who Can Attend a Conference?

Machine Learning & Deep Learning is continuously growing and is going to play an ever-larger role in the future automation. It is increasingly shaping future of work & jobs. Machine Learning has made its impact in many sectors like Automation, Manufacturing, Medical Science, Finance, Insurance, Customer Service and what not.

So as far the answer to the question “Who can attend the conference” is concerned, let me put some sector’s list whose professions can attend the conference, to clear your doubts:
  • Healthcare
  • Manufacturing
  • Education
  • Technology
  • Transportation
  • Customer service
  • Financial Services
  • High tech & Telecommunications
  • Transportations & Logistics’
  • Travel & Tourism
  • Automotive & Assembly
  • Professional Services
  • Retail Industry
  • Energy & Resources
  • Consumer Packaged Goods
  • Media & Entertainment
  • Construction
  • LAW
  • Marketing & Advertising
  • Pharma & Medicine
And last but not the least……….

“Anyone interested in Machine Learning & thrives to make the future developed and better can attend this conference”

Why Attend a Conference?

People also think that what our gain in attending any conference is? To clear this doubt I have collected few points:

ML conference gathers communities to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets. Machine Learning 2018 invites attendees from around the world focused on learning about ML & DL. This would be one of best opportunity to reach the largest assemblage of participants from the ML community.
  • Extraordinary speakers — Discover advances in ML and DL algorithms and methods from the world’s leading speakers, researchers and scholars. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP. Explore how Machine Learning and Deep Learning will impact finance, healthcare, manufacturing, search & transportation.
  • Discover emerging trends — The congress will showcase the opportunities of advancing trends in Machine Learning & Deep Learning and their impact along with successful applications in business. It will also focus on the challenges and areas of improvement related to the field of research and applications. Get knowledge from the latest technological advancements & industry trends from the global experts.
  • Expand your network — A one of a kind chance to connect with industry pioneers, influential technologists, Machine Learning Experts and founders driving the deep learning revolution. Learn from and interact with different industry trend-setters sharing best practices to advance the smart artificial intelligence revolution and turn into a part of it.
I hope I gave the answer of your questions “Who Can Attend a Conference” and “Why to Attend”. If you have any other doubt, feel free to ping us.

For more details check out the website: https://machinelearning.conferenceseries.com/
Contact: Amelia Smith
Email: machinelearning@enggconferences.com

Comments

Post a Comment

Popular posts from this blog

Deep Learning & Medical Imaging

-
Image
Artificial Intelligence , ML & DL is transforming the world of Healthcare & medicine. They are helping doctors to make faster, more accurate diagnoses. They can also predict the risk of a disease in time to prevent it. They can help researchers understand how genetic variations lead to new disease. Medical records such as doctors' reports, test results and medical images etc. are a data treasure of health information. There are number of fields in Healthcare industries where Artificial Intelligence, Machine Learning & Deep Leaning is being used.        Alzheimer’s        Arrhythmia        Autism        Breast Cancer        Dental Cavities        Diabetic Retinopathy        Gram Stains        Lung Cancer        Onychomycosis      Pneumonia       Skin Cancer And many more……. IBM researchers analyzed that medical images currently cover at least 90% of total HealthCare information data, making it the largest data so
Read more

Artificial Intelligence & Cyber Security

-
Image
A ccording to the research, there are approx. 4,249 breaches every year worldwide, exposing more than 4.2 billion personal records. 95% of breached records came from three industries - Government, Retail, Technology. A computer is hacked every 39 seconds, 56% of data breaches can be linked to phishing, cybercrime is now the 2 nd most reported economic crime. Global Artificial Intelligence in Cyber Security Market is expected to reach $18.2 billion by 2023.  It has become clear that organizations can’t just depend on manpower and human interaction to fend off cyber-attacks. Not exclusively is it tedious for employees to spot potential dangers, however it is also challenging to come up with security technologies to anticipate them. In this way, there are fears that organizations will continue to fall victim to hackers. Here, Artificial Intelligence, Machine Learning & Deep Learning comes into play. This is a game changer for the future of cybersecurity. Modern AI t
Read more

HOW ARE IoT & HOME AUTOMATION RELATED?

-
Image
IoT or Internet of Things refer to devices that can be connected to the internet and can be communicated to or from via the internet.  These devices could include: Sensors – including yet not constrained to sensors for wellbeing observing, wellbeing checking, hardware observing Actuators-including yet not constrained to those that control electrical switches or gear controls Cameras- normally, these are cameras that stream their pictures by means of the web Apparatuses or Equipment- these could incorporate sensors and actuators coordinated into the machines, for example, microwaves, coolers or hardware, for example, MRI machines, water powered presses, and the sky is the limit from there. So how does the Internet of Things identify with Home Automation? Indeed, a considerable lot of gadgets that are referenced above are commonly utilized with regards to Home Automation. The purpose of Home Automation is to make homes more secure, secure and helpful for the occupants.
Read more