Machine Learning Development

Machine learning - the branch of artificial intelligence - is changing not only the way we interact with machines but also how we interact with the environment around us. In the last decade, machine learning has given us cars that drive by themselves, voice recognition, effective web searches, personalized recommendations, and a vast understanding of the human genome. Now the prospects of machine learning are vast enough to handle almost all type of industries and provide them with benefits, they never dreamt of. Zazz has acquired marvelous talent from all over the world which help us create amazing machine learning based digital solutions.

Our Machine Learning Development Expertise

Data Analytics Development

We analyze data and bring the fruits direct at your table. Our data scientists are one of the best in world and we achieve best data analytics development.

Business Intelligence

No more business risks, our data analytics and expert machine learning developers bring business intelligence for your company where processes are automated.

Video Analytics

We are one of the few digital agencies that provide complete package of machine learning including video analytics which are easy to comprehend and implement.

Predictive Analytics

We make your company future proof where you take decisions well before others. Markets change continuously and you must take advantage of predictive analytics provided by Zazz.

Natural Language Processing

We provide best natural processing language service by integrating contemporary language solutions and machine learning.

Chatbots

Most of the big companies and brands are implementing chatbots as they offer cost effective and modern customer care solutions.

Computer Vision

Zazz generate numeric digital information by implementing modern computer vision that is based on machine learning.

Neural Networks

Our developers are experienced and up to the mark when it comes to implementing neural networks for deep learning.

Customize Machine

We leverage machine learning software to generate insights from big data sources that help developers to develop apps for different verticals.

Steps For Machine Learning Development

Understanding Data first

Agencies have to understand data first before developing any type of digital solution especially machine learning based solutions. Our scientists and analyzers sit for significant hours to understand and analyze your data and then bring a marvelous machine learning based product.

Data Preparation

Zazz is best at analyzing and preparing data for machine learning based products thanks to our talented scientists and hardworking developers. We make sure that data acquired is true and then prepare it according to according to the modern process.

Model building

Zazz is by far the best developing agency that builds models and then train it by implementing modern solutions and technologies. Our models are contemporary and offer premium machine learning advantages.

Evaluation and Launch

We create mobile apps or web applications as per the need of client. After testing and thorough quality checks, we evaluate models for days and then launch them according to client’s demand.

How machine learning can help you?

Manufacturing

• Cost effectiveness as using simulation

• Superior productivity and smooth workflow

• Most of the works are done by robots minimizing glitches and human errors

Traveling & Hospitality

• Round the clock customer care by using chatbots

• Using robots to provide premium hospitality services

• Voice control based management and processes

• Data analytics for personalized decision making

Financial Services

• Supermarkets having no cash counters as check-out-free process

• Targeted advertising and discounts offers

• Delivery services by using modern means like drones

• Inventory management by using Big Data

Healthcare and Life Sciences

• Customized treatment by using patients’ history and data

• Effective diagnosis with superior treatment options

• Cost effectiveness

• Surgeries using robots

Energy, Feedstock and Utilities

• Renewable energy solution

• Environment friendly solutions

• Efficient and cost effective energy production

• Better research by using data analytics

Technology Stack for Machine Learning Development

Keras

Our era offers countless profound learning platforms. There is no comparison, however, with Keras that excels in offering open source neural library to developers.

Mahout

Mahout is an open source venture that is utilized for making versatile AI calculations. The calculations of Mahout are composed over Hadoop, so it functions admirably in circulated condition. It utilizes the Hadoop library to scale adequately in the cloud.

DL4J

Deeplearning4j is a profound picking up programming library composed for Java and the Java virtual machine. It provides a figuring system with wide help for profound learning calculations. No doubt, it’s a modern and one of the swift tool for ML.

Microsoft Azure

Microsoft Azure is a distributed computing administration made by Microsoft for structure, testing, conveying, and overseeing applications and administrations through Microsoft-oversaw servers.

PyTorch

PyTorch is a logical registration package based on Python that utilizes the intensity of units handling models. It is also one of the favorite phases of deep learning studies worked to offer maximum adaptability and velocity.

H2O

H2O.ai is located in California's Mountain View and provides a suite of Machine Learning phases. The core quality of H2O is its high-performance ML components, strongly integrated with speed and usability.

DMTK

DMTK is a parameter server scheme with a lot of data about a group of computers to prepare AI models. It deals with the storage and activity of data, between the operation and the correspondence between strings.

IBM Watson

Called after Thomas J. Watson, the first CEO of IBM, the firm is driven by the recent AI innovations. Watson is the open, multi-cloud phase that provides you the opportunity to robotize the lifecycle of AI.

TensorFlow

TensorFlow has made machine learning simpler. Having an ecosystem that supports both developers and clients. With highlights like the Keras Functional APIs, TensorFlow provides you adaptability and control.

Spark

MLlib is set up as an Apache Spark venture function. Talking about the big data ecosystem, there is no such program as Spark that provides you with the usefulness as well as the velocity and efficiency needed.

Machine Learning Development

When we talk about Machine Learning, we mean “a branch of artificial intelligence whose objective is to develop techniques that allow computers to learn. More specifically, it is about creating programs capable of generalizing behaviors based on information provided in the form of examples”.

And the development of Machine Learning goes hand in hand with Big Data and is complemented by supervised learning (interpretation of these previously stored and supervised) and unsupervised (interpretation of millions of data that are not classified). A learning in which machines manage to predict behaviors, evaluate actions and analyze millions of data in a few seconds.

TYPES OF MACHINE LEARNING

Now, before delving into the advantages of Machine learning, I will explain some of the types of machine learning. This is subdivided into three types of learning, which I will show you below:

SUPERVISED LEARNING:

They are those information data that are previously labeled by the human. For example, thousands of images of cats and dogs are labeled. In the future, the system must identify and differentiate cats from dogs, the idea is that they learn through previous experience.

What you are looking for, is the machine learn by itself to identify the images, that way you save your work. The most palpable examples are voice recognition or writing, as it is, that of a signature.

UNSUPERVISED LEARNING:

Also known in English Unsupervised Learning. This learning does not need algorithms to have structured data. What is done is that a large amount of information is provided. It is there, where the characteristics of some thing or object are shown. In this way, the system will organize this information and identify the object or thing, and indicate what it is. For example, if you apply it to know the recognition of emotions in different human faces.

This is also called, deep learning or deep learning, since the machine learns to classify almost without the presence of the human.

REINFORCEMENT LEARNING:

Learning by reinforcement, exposes that through trial and error the machine understands which is the best decision to obtain a quality result. That can be compared to how a child is taught that certain behavior is correct, so simple to reward it. Also, the child begins to eliminate behaviors that are not rewarded. In the same way the machine only keeps the actions that lead to success.

Main advantages of Machine Learning for a company Now, going to what really concerns us in this article, we can highlight as main advantages of Machine Learning the following:

They offer a greater knowledge of the needs, tastes and buying habits of consumers. In addition to helping in the prediction of trends and needs in the market thanks to the interpretation of the data. Help in the development of Ecommerce through the analysis of consumer behavior. In addition to collaborating in the integration of different tools and applications and in the installation of the best security systems. Improvement of the development of new products and their subsequent impulse. And it is that Machine Learning favors innovation and the search for new solutions thanks to the interpretation of data. Help in decision making: Machine Learning offers support for the company by having the right data for better decision making. Something that will also help in the Human Resources department. Optimized logistic processes: finally, it will also help us in the improvement of the logistics systems and processes of the organization. And it will have a solid database for decision making.