Machine Learning (ML) is a field of computer science that is responsible for “learning” given a set of data. In other words, it is responsible for representing the structure and generalizing behaviors of the given data. You know we always strive to provide any help we can, here is the list of top 10 machine learning developers in Canada. Check them out and make an informed decision.
Appstudio is a full service Mobile App Design & Development Company offering services in Native iOS Development (Swift 3.0), Native Android Development (Java), React Native Development & Unity Game Development. They have collaborated with Fortune 500 companies, Startups and Mid Sized firms across a spectrum of industries, ranging from Health Care & Finance to On-Demand Services, to create Mobile apps that are actively being used by Millions of users across the globe.
Zazz is a team of creative designers and developers building great digital products in Seattle and San Francisco. Our collective experience in the technology industry includes mobile app development, IOT application development, blockchain development with a design first approach to product development.
Powered by a passion for technology, Spiria designs and develops custom digital solutions for industry leaders who want to run better businesses, deliver more value to their customers and generate growth through digital transformation. As we grow, we stay true to what we love: quality software, technological innovation, and creative collaboration.
Developex – team of software professionals, with 18 years old history and large variety of software development and product development experience. We provide development services by hiring and assigning qualified team to clients’ projects. With headquarters in Ukraine (Eastern Europe) and a representative office in Canada, we have good clients and partners in all corners of Europe, North America, Australia and Asia.
TTT is an award winning Digital Innovation Studio, building custom software for more than 200 clients around the world. We work with industry leaders and challengers who have ambitious goals and see the value in re-shaping their industries through technology.
America's best software engineers on-demand at an affordable price.Surge Software is an onshore provider of custom web, cloud, mobile, digital, and desktop software development and consulting services to clients in every industry, from hot startups to Fortune 500 companies.
FreshWorks Studio is an award winning, full life cycle, design and development company . They’ve worked with Fortune 500 companies and have built over 85 applications to date as part of our mission to solve problems and create value through remarkable digital experiences."They Create Experiences , Not Just Apps"
Vooban builds custom software and web applications for the enterprise, specializing in agile methodologies and focusing on dev. Core expertise lies in insurance, financial, banking, public security, logistics, and manufacturing. We specialized in system re-engineering and smooth transition.
The Synergo Group is a Canadian custom software development agency with offices in Canada, USA, U.K., Denmark, Romania, Germany, Brazil, and South Africa. They provide know-how for the software products in all phases: concept, design, development, deployment, support. They develop and manage the software for their customer.
They are a full service Vancouver based development and consulting firm hyper focused on delivering polished Web and Mobile Solutions. They are a team of highly experienced and specialized software developers and business professionals excited to help elevate your business via custom software development.
What exactly is Machine Learning?
The Machine Learning (Machine Learning) is the buzzword. Everyone is talking about it, but few know precisely what it is. In this post, we will simply tell you what all this fuss is about. One could say that machine learning is to computer science, just as probability and statistics are to mathematics. In this context, learning – learning is not about memorizing and collecting data. The idea is to create a model based on the information provided to be able to generate conclusions about copies never seen before.
Types of algorithms in Machine Learning
These are the main types of algorithms associated with Machine Learning:
This branch of the ML takes care of the problems that bring data with labels. For example, try to classify the dogs and muffins in the image above. These types of algorithms seek to generalize and predict based on the information provided.
In the absence of a more creative name, this branch of the ML takes care of the rest of the problems, that is, those that do not bring the data with labels. For example, given a group of users of a social network, group them (clustering) into communities. These types of algorithms seek to extract structure and find patterns from the information provided.
Additionally, each of these types of MLS is subdivided according to the type of data they handle:
Quantitative / numerical information. For example, predict the price of a house.
Qualitative information. For example, predicting which sports team a person is a fan of.
How does it work?
The main objective of every learner is to develop the ability to generalize and associate. When we translate this to a machine or computer, it means that they should be able to perform with precision and accuracy, both in family tasks, as in new or unforeseen activities.
And how is this possible? Making them replicate the cognitive faculties of the human being, forming models that “generalize” the information presented to them to make their predictions. And the key ingredient in this whole issue is the data.
The origin and format of the data are not as relevant since machine learning is capable of assimilating a wide range of data, which is known as big data, but it is not perceived as data but as a huge list of practical examples.
What are your current perspectives and applications?
Once you see how easy and practical it is to apply machine learning techniques to problems that you thought would be impossible, it is when you start to believe that it could solve virtually any problem * – as long as there is enough data.
*Eye! It should be remembered that this only works if the problem in question is solvable.
For the modern consumer, machine learning is a key facilitator of many of their daily tasks. From translation services to weather forecasts, to guessing what users want based on their recent activities; the benefits offered are incomparable.
Concerning business, many companies have begun to incorporate this technology into their operating systems, with high expectations of improving and automating their processes.
According to this year’s Global Digital IQ survey, 54% of the organizations they interviewed are making significant investments in AI and that percentage is expected to increase to 63% in less than three years. For its part, HubSpot reported according to a survey on artificial intelligence that is conducted, that 63% of people use AI daily, without even knowing it.
But, exactly to what areas can this type of technology be applied?
Since machine learning is a system based on the processing and analysis of data that is translated into findings, it can be applied to any field that has sufficiently large databases. At the moment, some of its most popular and developed uses are:
- DNA sequence classification
- Economic predictions and fluctuations in the stock market
- 3D mapping and modeling
- Fraud detection
- Medical diagnoses
- Internet search engines
- Voice recognition systems
- Optimization and implementation of digital advertising campaigns
Canada is already investing in the state of the art technologies like Machine Learning and its other sibling branches like deep learning. Here software houses are very progressive and not carrying any undue past burden. Canada has become the land of opportunities, if you have decided to opt for a Machine Learning project here, Indeed it’s one of your best decision.