Examples of using Machine learning will in English and their translations into Vietnamese
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Machine learning will replace people.
A key question is whether statistics and machine learning will also converge in fields such as deep learning?
Machine learning will decide what to automate.
I am confident new technologies such as AI and machine learning will complement human capabilities, rather than replace them.
Machine learning will improve device performance and standby time.
This introductory computer science course in machine learning will cover basic theory, algorithms, and applications.
Cloud Machine Learning will take care of everything from data ingestion through to prediction.".
Yet there are goodreasons to think that this time it is different, and that machine learning will be a real game changer.
Now, it hopes machine learning will help it reduce that number even further.
This probably overstates the scale of displacement,but developments in the fields of artificial intelligence and machine learning will affect all sectors of the economy.
AI combined with machine learning will continue to expand into the B2B ecommerce space.
Alex Dalyac, chief executive and co-founder of a computer vision start-up called Tractable,acknowledged that machine learning will soon produce fake audio and video that humans cannot distinguish from the real thing.
I think that machine learning will continue to have a massive impact- in ways both visible and invisible.
Involving and rebuilding the process by implementing Artificial Intelligence and Machine learning will be definitely the future and it makes sense to build the skill in this arena.
Machine learning will continue to improve the VR experience in many ways including gesture and voice recognition, image rendering and better collaborative experiences.
Though less visible, much of the impact of machine learning will be of this type- quietly but meaningfully improving core operations.
Machine learning will be used to analyse the individual responses of students to the lessons and activities that have been prepared, following which it will create a sequenced process for learning for each child.
The IDC predicts that global spending on AI and machine learning will rise roughly 380% between 2017 and 2021, going from $12 billion to nearly $58 billion.
AI and machine learning will increasingly appear in a variety of objects ranging from smart healthcare equipment to autonomous harvesting robots for farms.
Though less visible, much of the impact of machine learning will be of this type quietly but meaningfully improving core operations.
As you will soon see, machine learning will not only help to accurately and efficiently make sense of the data at your disposal, but also help to implement core business strategies.
In the marketing world, machine learning will give us a chance to better understand the customer journey.
The rise of machine learning will really make our industry unrecognizable in the future," said Anthony Cowell, head of asset management for KPMG in the Cayman Islands.
The combination of AI and machine learning will help intelligent things to interact in a more cohesive way with us and our surroundings.
So don't assume machine learning will soon take over all search ranking; it is simply a small piece of the puzzle search engines have implemented to hopefully make our lives easier.
By 2027, advances in machine learning will enable AI systems to sense their environment,learn on their own, and make or recommend decisions, according to IDC.
Experts believe that machine learning will continue to grow across the mobile market space, acquiring an even larger presence within applications, digital assistants, and AI as a whole.
McKinsey predicts machine learning will reduce supply chain forecasting errors by 50% and reduce costs related to transport and warehousing and supply chain administration by 5% to 10% and 25% to 40%, respectively.
I firmly believe machine learning will severely impact most industries and the jobs within them, which is why every manager should have at least some grasp of what machine learning is and how it is evolving.