How to stop wasting your time on Emails

January 3, 2022

From students to business tycoons, email communication is important for everyone, though reasons could be different. The major reason why email communication is preferred over the telephone or any other medium is it eliminates the challenges related to accent, speech rate, etc. As a positive result, it makes the overall communication effective and ensures that no confusion occurs in the later stages.

On the contrary, emails sometimes appear annoying when the inbox is full of them. Today, we will discuss some effective methods that will help you prevent time sinks that happen due to emails. Let's get started: 

  • Make a habit of checking your email inbox daily

Generally, those people find emails annoying who do not read them as soon as they arrive. Because of this, they end up having a messy email inbox, which further consumes a lot of time when it comes to cleaning.

However, if you develop a habit of regularly checking your email inbox, you will likely save a lot of time. It should be easy to understand because you can read 10 emails in a day within a couple of minutes. Contrariwise to this, reading 70 emails at the end of the week feels annoying and time-killing.

The most sought advantage of this habit is that you don't miss out on any crucial and time-sensitive information, which, as a positive consequence, helps you stay on top of your game in your field.

  • Make use of the unsubscribe button to cut the hassle

Unnecessary emails are something that kills plenty of time when you check your inbox. Such emails are generally related to marketing, newsletters, etc. Most people do not open such emails after reading their subject lines, which eventually makes their email inbox messy.

Therefore, it is highly advisable to unsubscribe from such useless emails. This can do wonders for you because your email inbox will have a small list of meaningful messages, even if you check it after a week. Of course, this is great as far as time savings are concerned. 

If you are wondering how such unrelated emails end up in your inbox, we would like to inform you that most people forget to uncheck the subscription box while creating an account on any website.


On the off chance that you don’t find the unsubscribe button, mark unwanted emails as spam to stop them from annoying you. 

  • Archive what’s important to you

Another way to save a great deal of time is to use the archive option. Usually, people leave important messages unread with the objective of reading them in their free time. While it seems like a good move at the time, in reality, it is not. The reason being is if you keep leaving your messages unread, you will end up creating a pile of emails, which will directly impact the time taken to clear it.

Thus, we recommend archiving important emails so that you can delete unwanted ones easily. Don't worry; you can easily get your archived emails back when you want to read them. 

And remember that archiving email is not tough at all, especially when you can access your emails via your smartphone. All it takes is a swipe, and some easy steps are required to follow to unarchive them.

  • Create a dedicated folder for important messages

Right from Gmail to Outlook, every email service provider offers the luxury of bulk deletion. But, most people are afraid of going that route because they don’t want to delete important messages by any chance. And their fear somewhere seems valid.  

However, they can easily overcome their fear by simply creating a dedicated folder for important messages and setting some filters to make sure that all crucial emails land directly to the folder instead of the inbox.

Once done, it will be easier to delete in bulk, which obviously will save a significant amount of time and effort. In addition, you will enjoy better categorization of important messages, which, in turn, will offer several benefits like ease of access, zero hassle, etc.

Summing up:

Managing your email inbox is one of those factors that decide how productive you’re going to be at the end of the day. This shouldn’t be taken lightly because if you are lost in the pool of unworthy and unread messages, you are unlikely to focus on critical areas.

With the help of this article, we have shared some surefire tips on how you can save time and manage your email inbox like a pro. We hope you will consider them and put them into action sooner than later.

To read more articles like this one, visit our blog section now :) 

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A Complete Guide To Customer Acquisition For Startups

Any business is enlivened by its customers. Therefore, a strategy to constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

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All these metrics tell you how well you will be able to grow your business and revenue.

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You need to understand who your current customers are and who your target customers are. Once you are aware of your customer base, you can focus your energies in that direction and get the maximum sale of your products or services. You can also understand what your customers require through various analytics and markers and address them to leverage your products/services towards them.

  • Choose your channels for customer acquisition

How will you acquire customers who will eventually tell at what scale and at what rate you need to expand your business? You could market and sell your products on social media channels like Instagram, Facebook and YouTube, or invest in paid marketing like Google Ads. You need to develop a unique strategy for each of these channels. 

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If you know exactly what your customers have in mind, then you will be able to develop your customer strategy with a clear perspective in mind. You can do it through surveys or customer opinion forms, email contact forms, blog posts and social media posts. After that, you just need to measure the analytics, clearly understand the insights, and improve your strategy accordingly.

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Reference Links

https://www.helpscout.com/customer-acquisition/

https://www.cloudways.com/blog/customer-acquisition-strategy-for-startups/

https://blog.hubspot.com/service/customer-acquisition

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Training with the help of one or multiple RGB images, where the segmentation of the 3D ground truth needs to be done. It could be one image, multiple images or even a video stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.

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The volumetric output will be done in both high and low resolution, and the surface output will be generated through parameterisation, template deformation and point cloud. Moreover, the direct and intermediate outputs will be calculated this way.

  • Network architecture used

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  • Training used

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Volumetric representations and surface representations can do the reconstruction. Powerful computer systems need to be used for reconstruction.

Given below are some of the places where 3D Object Reconstruction Deep Learning Systems are used:

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  • They can be used in plastic surgery where the organs, face, limbs or any other portion of the body has been damaged and needs to be rebuilt.
  • It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.
  • It can also help in completing DNA sequences.

So, if you are planning to implement this technology, then you can rent the required infrastructure from E2E Networks and avoid investing in it. And if you plan to learn more about such topics, then keep a tab on the blog section of the website

Reference Links

https://tongtianta.site/paper/68922

https://github.com/natowi/3D-Reconstruction-with-Deep-Learning-Methods

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A Comprehensive Guide To Deep Q-Learning For Data Science Enthusiasts

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So, read on to know more.

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Deep Q-Learning utilizes the principles of Q-learning, but instead of using the Q-table, it uses the neural network. The algorithm of deep Q-Learning uses the states as input and the optimal Q-value of every action possible as the output. The agent gathers and stores all the previous experiences in the memory of the trained tuple in the following order:

State> Next state> Action> Reward

The neural network training stability increases using a random batch of previous data by using the experience replay. Experience replay also means the previous experiences stocking, and the target network uses it for training and calculation of the Q-network and the predicted Q-Value. This neural network uses openAI Gym, which is provided by taxi-v3 environments.

Now, any understanding of Deep Q-Learning   is incomplete without talking about Reinforcement Learning.

What is Reinforcement Learning?

Reinforcement is a subsection of ML. This part of ML is related to the action in which an environmental agent participates in a reward-based system and uses Reinforcement Learning to maximize the rewards. Reinforcement Learning is a different technique from unsupervised learning or supervised learning because it does not require a supervised input/output pair. The number of corrections is also less, so it is a highly efficient technique.

Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered and transferred to the decision process. The task of the chosen agent is to maximize the awards. The MDP optimizes the actions and helps construct the optimal policy.

For developing the MDP, you need to follow the Q-Learning Algorithm, which is an extremely important part of data science and machine learning.

What is Q-Learning Algorithm?

The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state and also choosing the actions from the previous state and then developing a Q-table for maximizing the results or output rewards.

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  2. Identifying current state – The model stores the prior records for optimal action definition for maximizing the results. For acting in the present state, the state needs to be identified and perform an action combination for it.
  3. Choosing the optimal action set and gaining the relevant experience – A Q-table is generated from the data with a set of specific states and actions, and the weight of this data is calculated for updating the Q-Table to the following step.
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Reference Links

https://analyticsindiamag.com/comprehensive-guide-to-deep-q-learning-for-data-science-enthusiasts/

https://medium.com/@jereminuerofficial/a-comprehensive-guide-to-deep-q-learning-8aeed632f52f

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