New unprecedented advances in Machine Learning and Artificial Intelligence are pushing the boundaries of business.Estimate my project
Your million-dollar business.
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“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that
I don’t think AI (Artificial Intelligence) will transform in the next several years.”– Andrew Ng, businessman, computer scientist, investor, and writer.
Machine learning allows us to go beyond what we thought possible.
Perhaps you’d rather hire an expert in the field who can incorporate these technologies for you.
We specialize in Python, tensor flow, and other leading software.
We have a team ready to go. All you have to do is pick up the phone and give us a call.
The three most important types of machine learning are
Supervised Learning “Teach me”
Unsupervised Learning “I can learn on my own”
Reinforcement Learning “I can make my own rules”
This then in turn facilitates its ability to reach an accurate conclusion when given new data.
The end result is an accurate prediction of something of value.
Unsupervised machine learning is where the program is given a bunch of data and must find patterns and relationships therein.
A well-known example of reinforcement learning is AlphaGo. You might remember AlphaGo from 2015. Go is a popular and highly regarded Chinese board game.AlphaGo is the first computer program to defeat a professional human Go player and the first to defeat a Go world champion 5.0.
Because of the complexity of the game, traditional AI methods were not able to surface. By combining deep neural networks and tree search, new neural networks were able to be learned.
Of particular interest was move 37 in the second game. AlphaGo played a move that was both surprising and unexpected to high-level players. It was able to challenge our human understanding and help us study inventive and winning moves.
“Over time, AlphaGo improved and became increasingly stronger and better at learning and decision-making. This process is known as reinforcement learning. AlphaGo went on to defeat Go world champions in different global arenas and arguably became the greatest Go player of all time.”
By deepening our capacity to ask how and why, AI will advance the frontiers of knowledge and unlock whole new
avenues of scientific discovery, improving the lives of billions of people.”– Demis Hassabis, DeepMind CEO
Because we live and breathe the latest in technology, our
developers are ready and waiting to help you incorporate new AI
and machine learning components to your business
So much so that we are currently building our very own Saas
that uses Python and Tensorflow. It’s utilizing the power of
machine learning to sort datasets and apply solutions to real-
The applications are incredible and we’re excited to scale your
project using current technologies and software.
To better understand your customers, analysis of data is required
we know this.
AI-based machine learning means we can discover and identify patterns in data with ease. Combined with advanced analytics, you can generate extreme value to gain valuable insights that in turn allows you to increase customer retention and satisfaction, increase your revenue and reduce your costs.
Already companies and CEOs are seeing the value in AI and machine learning.
Observing how tech and retail are merging, like Amazon and
Whole Foods, Georges Nahon says:
“Thanks to AI, the face will be the new credit card, the new driver’s license, and the new barcode. Facial recognition is already completely
transforming security with biometric capabilities being adopted.” – Georges Nahon, CEO of Orange Silicon Valley
Companies are becoming a lot more customer-centric through the application of advanced analytics, machine learning and
real-time personalization of content and interaction.
Deep learning (DL) is a promising subset of machine learning. It is what powers most of the human-like AI today.
The key difference between machine learning and deep learning is that deep learning algorithms have an artificial neural network that enables it to learn and make intelligent decisions on it’ own.
Deep Learning applications have already made a significant impact on our day-to-day lives. We will continue to see various applications seamlessly integrate human and AI technologies to make our lives easier.
TensorFlow is Google’s open-source platform and is considered one of the best tools available for Machine Learning and Deep Learning.
At [GetMedDevs] we not only have experienced TensorFlow developers, we use the platform ourselves for our own projects.
Open-source libraries: Widely available machine learning libraries like Google’s TensorFlow and scikit-learn make cutting-edge algorithms more accessible to a wider audience of data scientists and generalist software engineers.
We are currently building our very own Saas that uses Python. If you’re looking for experienced Python developers to work on your business let us know.
We’re working on some very exciting, revolutionary projects and would be interested to add yours to the mix.
If you ever need to connect with industry veterans, check in to see if we’re available.
In today’s digital age, companies must act quickly, and often in real-time. That’s why advanced analytics is becoming essential for organizations that want to be truly insight-driven.– Allan Frank, chief digital officer and co-founder of The Hackett Group
Whether you’re a small, medium, large or extra-large company, say – No’ to freelancer fatigue. Forget the flaky freelancers and invest in a team that knows your product, your industry, and the code you need for your project.
Get an experienced software developer who has the skill and confidence to scale with you as you grow.
We’re looking for a select few entrepreneurs to transform their big idea into the next big most-talked about SaaS.