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ML & AI
Machine Learning vs. Deep Learning in Mobile App
Development: Understanding the Key Differences
143
By Ankit Sachan - June 9, 2023   0
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Talking about the artificial intelligence domain, machine learning, and deep
learning are basically two of the most common terms which are used. But, it is
very important that you know the difference between each of them.
You should know one fact deep learning is basically the subset of machine
learning. Further, both of these technologies are basically the subset of Artificial
intelligence.
In the current time, AI has become the talk of the town as it helps in automating
the tasks which are done by humans.
So, if you are looking to implement AI in the mobile app that you developing, then
you should get in touch with an excellent mobile app development company.
Moreover, every company is looking to leverage AI power. This is done such that
the revenue can be maximized.
The main idea behind artificial intelligence is basically to automate the tasks which
human does. Further, come up intelligent machines which can learn easily without
the intervention of humans.
So, basically, the point is to make the machine foolproof such that all the tasks can
be performed easily, which needs human intelligence.
For instance, self-driving cars are basically the best example when it comes to
artificial intelligence. They feed in the environment and safely drive without or with
very little intervention of the human.
Talking about machine learning, it is basically the Artificial Intelligence subfield. An
example to portray this is basically YouTube recommending you the videos.
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They tend to have huge databases which can easily predict your likes and dislikes.
But, it certainly has some limitations and this is where deep learning has come into
the place.
Deep learning is basically the machine learning subfield that uses the artificial
neural network. It tries to mimic in a similar manner how a brain tends to operate.
Just like us, it also learns from the decisions which were made earlier.
So, in this blog, we would briefly about Deep learning and machine learning and
perhaps the difference between each other. Let us have a look:-
Machine Learning – What it is?
Machine learning as mentioned above is basically an artificial intelligence subset. It
gives the machine the ability to learn without being programmed explicitly.
In this, the data is first feed into the machine. Moreover, the corresponding and
input-output makes it very difficult for the initial data. So, this is basically known as
data training. Thus, with the help of this data, predictive model is being built.
After this, it is utilized in predicting the output for the new input which is being
given. So, the inputs which are used for model performance test is basically the
test data.
Lastly, the prediction accuracy boils down to data quality such that the model can
be trained further. So, a good android app development company can be your
help if in case you want to use machine learning in your app.
Deep Learning – what it is?
Deep learning is basically a subset of machine learning in which the inspiration is
taken from the brain of the human.
It is basically used to build models or algorithms which can match with the brain of
the human. Moreover, the algorithms of deep learning make use of artificial
neural networks such that the data can be processed.
The artificial neural network basically works as a neuron for machine. After this,
raw data is being input into multilayer neural network and thus all the computation
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is done thereafter.
It also helps out in feature engineering in which each input feature is adjusted as
per the output.
Machine learning Vs. Deep learning
Machine Learning Deep Learning
It is basically AI subfield that puts the
emphasis on machine which can be
learned easily without programming
It is subfield of machine learning that
makes use of machine which is based
on the human brain through which
complex AI problems can be
mimicked.
Structured data is fed into the machine
such that ML model is built
Unstructured data is fed into a neural
network
Models based on ML take very less
time as per the small size of the data
A lot of time is taken as a lot of data
points are involved
The models of machine learning are
easy to build. But, a lot of human
interaction is taken such that
predictions can be made better
The models of deep learning are very
difficult to build as complex neural
networks are involved. But, the good
part is that it involves self-learning.
Feature engineering is executed by
humans
Feature engineering is not required as
neural networks tend to detect the
features automatically
The goal is to produce an output very
close to the expected output
The goal basically is to process the
human brain processing. In this way,
the right output can be generated.
The results of ML models can be quite
easy to explain
Deep learning model results can be
very difficult to explain. The reason is
that it can very difficult to interpret
multi-layered neural network output.
With ML models, you can expect great
performance with regard to medium-
sized and small datasets.
Talking about the deep learning
models, you can get good results if
huge datasets are used
It has a wide range of applications
which includes recommendation
systems, fraud detection, and pattern
recognition to name a few.
Some of the applications of Deep
learning include Image processing,
customer support, computer vision,
and natural language processing to
name a few.
Read More: https://www.mobulous.com/blog/machine-learning-mobiles-one-
step-closer-smart-learning-mobiles/
Final Verdict
In the above blog, we have discussed in length the difference between machine
learning and deep learning. So, in case you want to apply all of these technologies
to your mobile app, then Mobulous Technologies can be your help.
They are highly experienced and further they have implemented this in a number
of their projects. The best part is that they are also deemed as one of the best ios
app development companies. So, you can connect with them to know more about
the services that they provide.
Visit Mobulous for Mobile App Development Services
Mail : sales@mobulous.com Phone : +91-9650100411
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TAGS Deep Learning Machine Learning Machine Learning vs. Deep Learning
Machine Learning vs. Deep Learning in Mobile App Development
Previous article
The Benefits of Mobile App Development for
Small Businesses
Read More: https://www.mobulous.com/blog/how-artificial-intelligence-can-be-
used-in-the-mobile-apps/
Read More: https://www.mobulous.com/blog/advantages-of-artificial-intelligence-
machine-learning-in-mobile-applications/
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Ankit has had a passion for online marketing for around six years. He
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Machine Learning vs. Deep Learning in Mobile App Development: Understanding the Key Differences

  • 1. Home  ML & AI  Machine Learning vs. Deep Learning in Mobile App Development: Understanding the Key... ML & AI Machine Learning vs. Deep Learning in Mobile App Development: Understanding the Key Differences 143 By Ankit Sachan - June 9, 2023   0 Share This Article Talking about the artificial intelligence domain, machine learning, and deep learning are basically two of the most common terms which are used. But, it is very important that you know the difference between each of them. You should know one fact deep learning is basically the subset of machine learning. Further, both of these technologies are basically the subset of Artificial intelligence. In the current time, AI has become the talk of the town as it helps in automating the tasks which are done by humans. So, if you are looking to implement AI in the mobile app that you developing, then you should get in touch with an excellent mobile app development company. Moreover, every company is looking to leverage AI power. This is done such that the revenue can be maximized. The main idea behind artificial intelligence is basically to automate the tasks which human does. Further, come up intelligent machines which can learn easily without the intervention of humans. So, basically, the point is to make the machine foolproof such that all the tasks can be performed easily, which needs human intelligence. For instance, self-driving cars are basically the best example when it comes to artificial intelligence. They feed in the environment and safely drive without or with very little intervention of the human. Talking about machine learning, it is basically the Artificial Intelligence subfield. An example to portray this is basically YouTube recommending you the videos.      Mobile Applications Live Your Passionate Business Website to Hire Service of Development Company Having the existence of own business gives the full and final freedom to go away from unknown responsibilities and work. That’s why many people... Website Development Avashesh - December 5, 2019 0 New modern era trends in Mobile payment apps August 9, 2019 Who should you choose for apps development? February 3, 2017 Top 3 Questions to Ask when outsourcing app vendor August 13, 2019 HOT NEWS Mobulous featured in Insight Success Magazine – June 2020 Edition Magazine Board Your Taxi Services Business Online with the App Like Tryp Our Services Case Studies App OUR SERVICES  RECENT PROJECT  INDUSTRIES  VIDEOS DESIGN WORK CULTURE  CASE STUDIES  MAGAZINE   Thursday, June 15, 2023      
  • 2. They tend to have huge databases which can easily predict your likes and dislikes. But, it certainly has some limitations and this is where deep learning has come into the place. Deep learning is basically the machine learning subfield that uses the artificial neural network. It tries to mimic in a similar manner how a brain tends to operate. Just like us, it also learns from the decisions which were made earlier. So, in this blog, we would briefly about Deep learning and machine learning and perhaps the difference between each other. Let us have a look:- Machine Learning – What it is? Machine learning as mentioned above is basically an artificial intelligence subset. It gives the machine the ability to learn without being programmed explicitly. In this, the data is first feed into the machine. Moreover, the corresponding and input-output makes it very difficult for the initial data. So, this is basically known as data training. Thus, with the help of this data, predictive model is being built. After this, it is utilized in predicting the output for the new input which is being given. So, the inputs which are used for model performance test is basically the test data. Lastly, the prediction accuracy boils down to data quality such that the model can be trained further. So, a good android app development company can be your help if in case you want to use machine learning in your app. Deep Learning – what it is? Deep learning is basically a subset of machine learning in which the inspiration is taken from the brain of the human. It is basically used to build models or algorithms which can match with the brain of the human. Moreover, the algorithms of deep learning make use of artificial neural networks such that the data can be processed. The artificial neural network basically works as a neuron for machine. After this, raw data is being input into multilayer neural network and thus all the computation Jahe | Food Delivery | Case Study Meraan is LIVE | Fitness App Development Company | Mobulous   
  • 3. is done thereafter. It also helps out in feature engineering in which each input feature is adjusted as per the output. Machine learning Vs. Deep learning Machine Learning Deep Learning It is basically AI subfield that puts the emphasis on machine which can be learned easily without programming It is subfield of machine learning that makes use of machine which is based on the human brain through which complex AI problems can be mimicked. Structured data is fed into the machine such that ML model is built Unstructured data is fed into a neural network Models based on ML take very less time as per the small size of the data A lot of time is taken as a lot of data points are involved The models of machine learning are easy to build. But, a lot of human interaction is taken such that predictions can be made better The models of deep learning are very difficult to build as complex neural networks are involved. But, the good part is that it involves self-learning. Feature engineering is executed by humans Feature engineering is not required as neural networks tend to detect the features automatically The goal is to produce an output very close to the expected output The goal basically is to process the human brain processing. In this way, the right output can be generated. The results of ML models can be quite easy to explain Deep learning model results can be very difficult to explain. The reason is that it can very difficult to interpret multi-layered neural network output. With ML models, you can expect great performance with regard to medium- sized and small datasets. Talking about the deep learning models, you can get good results if huge datasets are used It has a wide range of applications which includes recommendation systems, fraud detection, and pattern recognition to name a few. Some of the applications of Deep learning include Image processing, customer support, computer vision, and natural language processing to name a few. Read More: https://www.mobulous.com/blog/machine-learning-mobiles-one- step-closer-smart-learning-mobiles/ Final Verdict In the above blog, we have discussed in length the difference between machine learning and deep learning. So, in case you want to apply all of these technologies to your mobile app, then Mobulous Technologies can be your help. They are highly experienced and further they have implemented this in a number of their projects. The best part is that they are also deemed as one of the best ios app development companies. So, you can connect with them to know more about the services that they provide. Visit Mobulous for Mobile App Development Services Mail : sales@mobulous.com Phone : +91-9650100411 
  • 4. TAGS Deep Learning Machine Learning Machine Learning vs. Deep Learning Machine Learning vs. Deep Learning in Mobile App Development Previous article The Benefits of Mobile App Development for Small Businesses Read More: https://www.mobulous.com/blog/how-artificial-intelligence-can-be- used-in-the-mobile-apps/ Read More: https://www.mobulous.com/blog/advantages-of-artificial-intelligence- machine-learning-in-mobile-applications/ Send Us Your Project Enquiry ! First Name * Last Name * Email Address * Phone Number * Country * Select Country Select Project Type * Select Project Type Subject * Project Brief * Attach Files Choose File No file chosen Ankit Sachan https://www.mobulous.com Ankit has had a passion for online marketing for around six years. He continues to pursue this love; now as a member of the Mobulous team. Ankit's work with social media and blog contributes significantly to Mobulous presence on the web.       LEAVE A REPLY How Artificial Intelligence can be Used in the Mobile Apps? What are the Advantages of Artificial Intelligence & Machine Learning in Mobile Applications. Python App Development: Unlocking Its Powerful Potential Machine Learning in mobiles: One step closer to “smart learning” mobiles AI And ML – Transforming the landscape of Business RELATED ARTICLES MORE FROM AUTHOR ML & AI Apps Development Apps Development ML & AI ML & AI   
  • 5. Comment: Name:* Email:* Website: Save my name, email, and website in this browser for the next time I comment. Post Comment EDITOR PICKS Machine Learning vs. Deep Learning in Mobile App Development: Understanding the... June 9, 2023 The Benefits of Mobile App Development for Small Businesses May 22, 2023 How Artificial Intelligence can be Used in the Mobile Apps? May 16, 2023 POPULAR POSTS News Aggregation App is LIVE | NEWSTOR |Developed by Top App... January 4, 2017 Mobulous – Awarded As The Best App Development Company In India... March 9, 2022 Clutch Names Mobulous Among The Top App Developers in Delhi For... March 17, 2022 320 105 88 87 75 48 46 43 41 POPULAR CATEGORY Apps Development Recent Project App Case Studies Startup Mobile App Development Native iOS App Development Our Services Industries Native Android App Development ABOUT US In the World of Mobility, we are well known for creating extraordinary Native Android, iOS, and Web Applications. Existing since 2013, 450+ Apps Delivered in Development and Maintenance . If you looking for Right Mobile App Developers, you have just come to the right page. Contact us: sales@mobulous.com FOLLOW US       © Copyright 2021 Mobulous Technology - All Rights Reserved 
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