Reading Time: 2 minutes Every business needs to transform sooner rather than later to remain competitive in the digital age. Our team was initially built to convince these companies of the impending shift they needed to make. Now our job is to accommodate all the people rushing, not to get left behind. Fortunately, the team we’ve built is capable of handling these new challenges. This has been proven repeatedly Continue Reading
Reading Time: 3 minutes Nearly all business processes today begin, include or end with a document. Most companies are sitting on the document goldmine. Thinking of which some are PDFs, emails, customer feedback, patents, contracts, technical documents, sensitive documents, HR files and the list goes on. These documents are only going to grow with time. Making sense of each document is difficult since a lot of these documents are Continue Reading
Reading Time: 4 minutes OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. OpenCV OpenCV is the huge open-source library for computer vision, Continue Reading
Reading Time: 5 minutes Hey Folks, In this blog we are going to put some light on Kubeflow, an open-source platform that enables us to orchestrate complicated workflows running on Kubernetes of machine learning pipelines. Kubeflow Emerges for ML Workflow Automation Many data scientists today find it burdensome to manually execute all of the steps in a machine learning workflow. Moving and transforming data, training models, then promoting them Continue Reading
Reading Time: 2 minutes In the realm of AI, a great deal of consideration is optimising training. There is a lot less information out there on optimising models. However serving models for forecast is the place where we make money out of ML. Without a doubt, the expense of serving forecasts might be a central point in the all out profit from speculation for a ML application. In this Continue Reading
Reading Time: 2 minutes In this blog we will see the use of TensorFlow graphics on three dimensional objects. So what is computer graphics? Computer Graphics is a sub-field of computer science which studies methods for digitally synthesising and manipulating visual content. Today Computer graphics is a core technology used in films, games, videos, phones, computer display etc. It has evolved overs the years, today you can make amazing Continue Reading
Reading Time: 3 minutes A Machine Learning model is defined as a mathematical model with a number of parameters that need to be learned from the data. By training a model with existing data, we are able to fit the model parameters.However, there is another kind of parameters, known as Hyperparameters. Hyperparameters contain the data that govern the training process itself These parameters express important properties of the model such Continue Reading
Reading Time: 3 minutes In this blog, we will be learning about Tensorflow Extended (TFX) components and libraries. TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries. Moreover, to integrate common components needed to define, launch, and monitor your machine learning system. How Tensorflow Extended (TFX) came up? Since the time Google has publicized Tensorflow, its application in Deep Continue Reading
Reading Time: 3 minutes This article is the continuation of “Fundamentals of Classification Models Part – 1” You need to go through this part before going to learn about Classifier Models. Classifier Models As discussed in the previous article ” We prepare the data for training the algorithm” the first step is to pre-process and clean the data The cleaning we need for this dataset is to change the Continue Reading
Reading Time: 3 minutes Introduction: As you might know, Neural networks reflect the behaviour of the human brain, allowing computer programs to recognise patterns and solve common problems in the fields of AI, machine learning, and deep learning. Neural networks are comprised of a node layers, containing an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, connects to another and has Continue Reading
Reading Time: 2 minutes Overview Machine Learning(ML) projects can be done in Java but there are some reasons why Java is not as popular as Python. Java is not the preferred first choice of Data Scientists and Machine Learning engineers for creating ML models. Java is mainly used in large data processing and engineering parts of a typical ML life cycle. The processed and engineered data is used by Continue Reading
Reading Time: 3 minutes In our previous post we have talked about different types of agents that can be built for business. Any type of agent (model-based, goal-based, utility-based, etc.) can be built as a learning agent (or not). Learning allows the agent to know more than what it initially started with in terms of the operating environment. Components of a Learning Agent The learning agent can be divided Continue Reading
Reading Time: 5 minutes We live in an era of data as it lies at the heart of digital transformation. And datasets are no longer as simple as before. They have increased in volumes, velocity, complexity and above all, are coming from multiple sources. Top tech giants like Google, Netflix, Amazon, and others are crunching massive amounts of data on a daily basis to give you a personalized experience. Continue Reading
