Mounika sweety


Learn more out About PMP and CCBA

The PMP is known as Project Management Professional, which is being recognized by the PMI (Project Management Institute), and it is one of the leading certification organizations for project managers around the world wide. The Project Management Institute emphasis the rules, code of conduct, premium membership and the other professional aspects of all the project manager around the globe. This certificate helps to get a better job offer around the whole world. The large organization will appoint the PMI-certified persons since they require the most talented and experienced person.

The certificate will provide the candidate the most wonderful remuneration, which is in the dreams of the peoples. The person has to work very hard in the organization to get the qualitative results rather than making the order on the subordinates or juniors. The PMI offers to their candidate in training for the project manager and issues professional development. The institute helps to prepare for the new PMP exam. The institute helps to get the study course easily and complete before the time for further revision. The institute will provide the video course for the candidate to have a piece of better knowledge, and they can watch it later in their home also. The tutorial video is free of cost, and it is for the betterment of the candidate.

The PMI institute conducts special quiz programs for the candidates so that they can have a test of their knowledge and how much knowledge they have gained they will know. The demand is increasing from the previous ten years. There is the requirement of the project manager in the organization, whether it is small or it is large. The PMP certification says that the candidate is serious about the work as a project manager and develops his own professionalism. This helps the other employees of the organization to get motivated by the management leader and work in a better way.

It provides the valuable knowledge which is not being provided by any of the organization. They help to understand the value of the resources and the network of any organization. CCBA ONLINE Training is the certification given to the candidate who passes the professional level examination of business analysts. The certificate proves that the candidate has the experience, knowledge, and potential in the business industry. The CCBA examination proves that the candidate is having comprehension knowledge and a constant loop of learning and developing the knowledge based on the business industry.

**CCBA **

The CCBA certification is given by the IIBA, which is known as the international institute of business analysis. The certification proves that the candidate consists of knowledge, experience, and expert in his or her work and has the potential to do the work in the field of business analysts. IIBA is one of the most reputed institutes when the topic comes to business analysis certification. The institute handles a lot of responsibility and image of the candidate as a business analyst. In the date, today’s life, the business analytics job or career is becoming one of the growing demands in the business organization sector. The CCBA exam is considered one of the best possible certifications for business analysts. The whole course will take the journey of the network and business-related content. Through the journey, the candidate will create his own network, and he will gain the knowledge and implement in the workplace, understand about the business and management. The candidate will understand the need of the customer and how to implement them in the field of work.

Nowadays, in every organization, there are requirements of the business analysts. According to the need of the customer, it becomes very much difficult to give their product on time with the quality measures. But the business analytics will help you understand what the customer requires and how to serve their product in a better way and before time. CCBA training helps to have great concept clarity for the candidate. The training provides a lot of major information which is required for the candidate to work in a business analyst field. The eligibility criteria to give CCBA exam is: -

• The candidate must have a bachelor’s degree or any high school diploma.
• The candidate must have three years of work experience and 4500 hours of project management experience if he or she has a bachelor’s degree.
• The candidate must have to complete the 35-hour study program on PMBOK.

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Learn more out About PMP and CCBA
Jerad  Bailey

Jerad Bailey


Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

sophia tondon

sophia tondon


5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

#machinelearningapps #machinelearningdevelopers #machinelearningexpert #machinelearningexperts #expertmachinelearningservices #topmachinelearningcompanies #machinelearningdevelopmentcompany

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#machine learning companies #top machine learning companies #machine learning development company #expert machine learning services #machine learning experts #machine learning expert

Jackson  Crist

Jackson Crist


Intro to Reinforcement Learning: Temporal Difference Learning, SARSA Vs. Q-learning

Reinforcement learning (RL) is surely a rising field, with the huge influence from the performance of AlphaZero (the best chess engine as of now). RL is a subfield of machine learning that teaches agents to perform in an environment to maximize rewards overtime.

Among RL’s model-free methods is temporal difference (TD) learning, with SARSA and Q-learning (QL) being two of the most used algorithms. I chose to explore SARSA and QL to highlight a subtle difference between on-policy learning and off-learning, which we will discuss later in the post.

This post assumes you have basic knowledge of the agent, environment, action, and rewards within RL’s scope. A brief introduction can be found here.

The outline of this post include:

  • Temporal difference learning (TD learning)
  • Parameters
  • QL & SARSA
  • Comparison
  • Implementation
  • Conclusion

We will compare these two algorithms via the CartPole game implementation. This post’s code can be found here :QL code ,SARSA code , and the fully functioning code . (the fully-functioning code has both algorithms implemented and trained on cart pole game)

The TD learning will be a bit mathematical, but feel free to skim through and jump directly to QL and SARSA.

#reinforcement-learning #artificial-intelligence #machine-learning #deep-learning #learning

E-learning Software Services - SISGAIN

SISGAIN is one of the top e-Learning software companies in New York, USA. Develop Education Technology based, mobile application for e-learning from SISGAIN. We Develop User Friendly Education App and Provide e-learning web portals development Service. Get Free Quote, Instant Support & End to End Solution. SISGAIN has been developing educational software and provides e-learning application development services for US & UK clients. For more information call us at +18444455767 or email us at

#learning development companies #development of software for e-learning #top e-learning software companies #e-learning web portals #mobile applications for e-learning #e-learning product development

Few Shot Learning — A Case Study (2)

In the previous blog, we looked into the fact why Few Shot Learning is essential and what are the applications of it. In this article, I will be explaining the Relation Network for Few-Shot Classification (especially for image classification) in the simplest way possible. Moreover, I will be analyzing the Relation Network in terms of:

  1. Effectiveness of different architectures such as Residual and Inception Networks
  2. Effects of transfer learning via using pre-trained classifier on ImageNet dataset

Moreover, effectiveness will be evaluated on the accuracy, time required for training, and the number of required training parameters.

Please watch the GitHub repository to check out the implementations and keep updated with further experiments.

Introduction to Few-Shot Classification

In few shot classification, our objective is to design a method which can identify any object images by analyzing few sample images of the same class. Let’s the take one example to understand this. Suppose Bob has a client project to design a 5 class classifier, where 5 classes can be anything and these 5 classes can even change with time. As discussed in previous blog, collecting the huge amount of data is very tedious task. Hence, in such cases, Bob will rely upon few shot classification methods where his client can give few set of example images for each classes and after that his system can perform classification young these examples with or without the need of additional training.

In general, in few shot classification four terminologies (N way, K shot, support set, and query set) are used.

  1. N way: It means that there will be total N classes which we will be using for training/testing, like 5 classes in above example.
  2. K shot: Here, K means we have only K example images available for each classes during training/testing.
  3. Support set: It represents a collection of all available K examples images from each classes. Therefore, in support set we have total N*K images.
  4. Query set: This set will have all the images for which we want to predict the respective classes.

At this point, someone new to this concept will have doubt regarding the need of support and query set. So, let’s understand it intuitively. Whenever humans sees any object for the first time, we get the rough idea about that object. Now, in future if we see the same object second time then we will compare it with the image stored in memory from the when we see it for the first time. This applied to all of our surroundings things whether we see, read, or hear. Similarly, to recognise new images from query set, we will provide our model a set of examples i.e., support set to compare.

And this is the basic concept behind Relation Network as well. In next sections, I will be giving the rough idea behind Relation Network and I will be performing different experiments on 102-flower dataset.

About Relation Network

The Core idea behind Relation Network is to learn the generalized image representations for each classes using support set such that we can compare lower dimensional representation of query images with each of the class representations. And based on this comparison decide the class of each query images. Relation Network has two modules which allows us to perform above two tasks:

  1. Embedding module: This module will extract the required underlying representations from each input images irrespective of the their classes.
  2. Relation Module: This module will score the relation of embedding of query image with each class embedding.

Training/Testing procedure:

We can define the whole procedure in just 5 steps.

  1. Use the support set and get underlying representations of each images using embedding module.
  2. Take the average of between each class images and get the single underlying representation for each class.
  3. Then get the embedding for each query images and concatenate them with each class’ embedding.
  4. Use the relation module to get the scores. And class with highest score will be the label of respective query image.
  5. [Only during training] Use MSE loss functions to train both (embedding + relation) modules.

Few things to know during the training is that we will use only images from the set of selective class, and during the testing, we will be using images from unseen classes. For example, from the 102-flower dataset, we will use 50% classes for training, and rest will be used for validation and testing. Moreover, in each episode, we will randomly select 5 classes to create the support and query set and follow the above 5 steps.

That is all need to know about the implementation point of view. Although the whole process is simple and easy to understand, I’ll recommend reading the published research paper, Learning to Compare: Relation Network for Few-Shot Learning, for better understanding.

#deep-learning #few-shot-learning #computer-vision #machine-learning #deep learning #deep learning