Machine Learnning

MACHINE LEARING


How to Develop Machine Learning Applications for Business



We are living in a world of humans and machines humans have been Evolving and learning from the past experience since millions of years but are of machines and robots have just begun in today’s world. These machines are rewards are like they need to be program before they actually follow your instructions.Machine learning is the core of many futuristic technology advancement in our world such as Tesla’s self driving car Apple I do boot many more are there well. Machine learning is a sub field of artificial intelligence that focuses on design of system that can learn from and make decisions and predication based on experience which is data in the case of machine learning enable computer to act and make data driven decision rather than being explicitly programmed to carry out certain task these programs are design to learn and improve over time when expose to new data. The AI the Machine learning and deep learning all are same you what, they are wrong let me explain , artificial intelligence is a broader concept of machine being able to carry out tasks in smarter way.It covers any thing which enables the computer to be have like humans think of a famous turing test to determine whatever a computer is capable of thinking like human being or not if you are talking to Siri on your phone and you get an answer you’re already very closed to it so this was about the artificial intelligence now coming to the machine learning part as we know machine learning is a subset or current application of AI it is based on idea that we should be able to give machine access to data and let them learn from done cells. It deals with the extraction of pattern from data set this means that machine can not only find the rules for optimal behavior,but also can adapt to the changes in the world many of the algorithms involved have known for decades centuries even thanks to to the advances in the computer science and parallel computing they can now scale up to massive data volume. So this was about the machine learning part now coming over to deep learning, deep learning is a subset of machine learning where similar machine learning. Tamar used to train deep natural network so as to achieve better accuracy in those cases where former was not performing up to the mark, right As we understand here that Machine learning, artificial intelligence and Deep learning are all different.               



























Comments

Post a Comment

Popular posts from this blog

LEADERSHIP AND TECHNICAL SKILLS

Image
LEADERSHIP AND TECHNICAL SKILLS  I offer a proven background as an accomplished Team Leader with 15+ years of experience delivering complex solutions for top organizations in the technology, healthcare, and pharmaceutical sectors.My leadership style focuses on engaging team members to communicate, dynamically solve problems and deliver the highest quality solutions. I am currently seeking to provide your organization with the above skills as Team Leader. I have devoted my career to developing proven project and program management strategies in order to meet or exceed client expectations. Please accept this letter and enclosed resume as an introduction to my skills and background. For a more detailed presentation of my offerings, feel free to contact me at your earliest convenience to schedule a conference. Thank you in advance for your consideration and I look forward to our conversation.
Read more

Types of Machine learning

Supervised Supervised learning is if we are see here mathematically, where we have input variables X and output variable is Y and we using an algorithm to learn the mapping function from the input to the output. That is y Affects the goal is to approximate the mapping function. So well that whenever we have a new input data X could predict the output variable. That’s why for that data right ,let simplify the definition of supervised learning so we can rephrase the understanding of the mathematical definition as machine learning method where each instances of a training data set is composed of different input attribute and an expected output the input attributes of training data set can be of any end of data it can be a pixel of image. It can be a value of data base row or it can be audio frequency histogram right for each input instance and expect output value Associated value can be discrete representing a category or can real or continuous value in either case. The algorithm lear...
Read more

Why Flutter uses Dart

Image
Well, one of the first reasons you might consider, is that you will end up one code base to maintain, one place to debug, one place to update so one code base to rule them all and this is huge advantage compared to creating your apps native, say creating your iOS apps in swift and making your Android apps in java and your web apps in java Script and having all of these different places that you need to update and maintain. And it can get really messy whereas here you only need to know one language that’s Dart, which is a Powerful language that’s actually quite easy to work with once your learned and understand how to use it, then you can use it to create your iOS apps, your Android apps, your web apps. And it means that you only have to get good at one thing instead of lots of different things and if you have done any programming before,then you realize that Dart is actually very, very similar to a lot of object oriented programming languages it has a lot of features that p...
Read more