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ChatGPT: The Secret Weapon for Improving Your Website’s SEO

ChatGPT: The Secret Weapon for Improving Your Website's SEO

In today’s digital landscape, search engine optimization (SEO) is crucial for any website looking to increase visibility and drive traffic. However, with constantly changing algorithms and an abundance of information to sift through, staying on top of SEO can be a daunting task. This is where ChatGPT comes in. As a large language model trained by OpenAI, ChatGPT can analyze a wide range of data and provide actionable insights that can help improve your website’s SEO. In this article, we will explore how ChatGPT can be used as a secret weapon for improving your website’s search engine rankings and driving more traffic to your site.

What is SEO?

SEO stands for Search Engine Optimization, which is the process of improving the visibility and ranking of a website. This is typically done by making changes to the website’s content, structure, and code to make it more attractive to search engines, with the goal of achieving higher rankings for relevant keywords and phrases. SEO is a continuous process that requires monitoring, updating, and adjusting to ensure that a website remains visible and relevant in the ever-changing world of search engines.

What is ChatGPT?

ChatGPT is a large language model trained with ocean of data. It is used to generate human-like text and can be used for a variety of natural language processing tasks, such as generating text, translating languages, summarizing long documents, and answering questions on almost any topics and much more.

The technology behind ChatGPT can be used to create SEO-friendly content, such as blog posts, product descriptions, and FAQs. By generating unique, high-quality content that is optimized for search engines, ChatGPT can help to improve website’s visibility.

Here are a few examples of how ChatGPT can be used to improve the search engine optimization (SEO) of a website:

Generating meta descriptions

Meta descriptions are short summaries that appear under the title of a webpage in search engine results. They provide brief overview about webpages. These information are used by search engines to understand the main topic of the page. Meta descriptions are significant factor in determining the likelihood of a user clicking on a link. You can use ChatGPT to generate meta description for your website and increase website traffic by generating unique descriptions for webpages.

Optimizing headlines

Headlines are one of the most important elements of any webpage when it comes to SEO. They are used by search engines to understand the main topic of the page and are also the first thing that a user sees when they find a webpage in search results.

ChatGPT is great for generating optimized headlines for webpages. ChatGPT can be used to improve the search engine ranking by making headlines more relevant and informative to the user, which can increase the chances of the user clicking on the link.

Generating content

Having high-quality content is important, the better, it will rank high in search results. ChatGPT can be used to generate blog content in no time. You can use ChatGPT to write unique and high-quality blog posts.

Analyzing keywords

Finding best keywords for a topic is vital. ChatGPT is a great tool to find relevant keywords that have a high search volume and low competition. It can recommend keyword research tools such as Google Keyword Planner, Ahrefs, SEMrush that can be used to find the relevant keywords with low competition.

External and Internal links

When creating anchor text for backlinks, it’s important to use keywords that accurately describe the content of the linked page. This will not only help search engines understand the context of the link, but it will also provide users with a clear indication of what they can expect to find on the linked page.

Additionally, it’s important to use a mix of both branded and non-branded keywords in your anchor text, as this will help diversify your backlink profile and reduce the risk of being penalized by search engines.

Including backlinks allows users to access more information on a specific topic, which can help to improve the overall user experience of your blog. Use ChatGPT to find and link similar and related trusted sources that are relevant to your content. This will signal to search engines that your content is credible and valuable.

Analyzing competitors

ChatGPT can be used to identify the best local SEO strategies for your blog by analyzing a variety of factors such as your target audience, competitors, and industry trends. It helps you to identify the local directories and platforms where you can list your blog to improve visibility in your area. Additionally it can help you understand what your local competitors are doing to rank well in search engines and how you can differentiate your blog to stand out.

Mobile optimization

ChatGPT can be used to identify the best tactics for mobile optimization of your blog by analyzing a variety of factors such as user behavior, industry trends, and technical requirements. ChatGPT can help you understand what design elements are most effective for mobile users, such as larger fonts, larger buttons, and responsive design. It can help you understand how users interact with your blog on mobile devices, such as which pages they visit most.


In conclusion, ChatGPT can be a powerful tool for improving your website’s SEO by providing valuable insights into various aspects of SEO such as keyword research, competitor analysis, content optimization and mobile optimization. With its ability to process vast amounts of data and provide actionable recommendations, ChatGPT can help you stay ahead of the curve and make data-driven decisions to improve your website’s visibility in search engines. However, it’s important to keep in mind that ChatGPT is just a tool, the real work must be done by the website owner or SEO expert to implement the strategies and tactics suggested by the model. With the right approach, ChatGPT can be a secret weapon for taking your website’s SEO to the next level.

ChatGPT can be used to hack you – Experts warn


Chatbots have become increasingly popular in recent years, with many businesses and organizations turning to them as a way to improve customer service and streamline communication. One of the most advanced and powerful chatbots available is ChatGPT, developed by OpenAI. However, just like any technology, ChatGPT can be used for malicious purposes. In this article, we will explore how ChatGPT can be used for hacking and the potential risks it poses.

What is ChatGPT

ChatGPT is a large language model trained with ocean of data. It is used to generate human-like text and can be useful for a variety of natural language processing tasks, such as generating text, translating languages, summarizing long documents, and answering questions on almost any topics.

This means that it can have conversations with humans that are almost indistinguishable from those with another person. It is possible to say ChatGPT can be used by hackers to impersonate individuals or organizations, and do all sorts of nasty stuffs to trick people to reveal sensitive information.

Ways You can be Hacked

One way that ChatGPT can be used for hacking is through social engineering. Hackers can use the chatbot to impersonate a trusted individual or organization and trick people into providing personal information or login credentials. They can also use ChatGPT to create phishing scams, sending messages that contain malicious links or attachments.

Hackers can use the chatbot to gather information about a target, such as their interests and habits, which can be used to tailor future attacks. They can also use ChatGPT to map out a target’s network and identify potential vulnerabilities.

It’s also important to note that ChatGPT can be used to automate hacking techniques. For example, a hacker can use ChatGPT to create a script that automates the process of guessing passwords, increasing the chances of success.

Expert warn

OpenAI has implemented certain safety measures to prevent ChatGPT from being used for malicious purposes. For instance, it refuses certain requests that might be harmful or unethical activities such as generating malicious code, hate speech or false information. However, some users have discovered workarounds to bypass these safety measures, enabling them to use ChatGPT for malicious activities.

These workarounds include modifying the input to the model, using it in a different context or with a different objectives. For example, a user might use ChatGPT to generate seemingly harmless code, but then use it to launch a malicious attack.

Just recently a famous cybersecurity company, Check Point Software Technologies, has reported instances of ChatGPT being manipulated to create malicious code capable of stealing computer files, executing malware, phishing for credentials, and even encrypting an entire system in a ransomware attack.

“We’re finding that there are a number of less-skilled hackers or wannabe hackers who are utilizing this tool to develop basic low-level code that is actually accurate enough and capable enough to be used in very basic-level attacks,” Rob Falzon, head of engineering at Check Point, told CBC News.

Another experts in the field said, ChatGPT could significantly speed up and simplify cybercrimes activities for unethical hackers. They just need to identify a clever way to ask the correct questions to the bot.

According to Shmuel Gihon, security researcher, ChatGPT is a great tool for software developers to write better code. However he also, pin pointed the advantages any bad actors might take with this tool.

“As a threat actor, if I can improve my hacking tools, my ransomware, my malware every three to four months, my developing time might be cut by half or more. So the cat-and-mouse game that defense vendors play with threat actors could become way harder for them.”

TechCrunch reported, they tried to create a realistic phishing email using ChatGPT. The chatbot initially refused to create malicious content, but with a slight change in wording, they were able to generate it. They have interviewed number of experts in security industry, and many have believed its potential to generate bad activities for hackers.

Principal research scientist at Sophos, Chester Wisniewski, have said people could do all sorts of social engineering attacks using ChatGPT.

“At a basic level, I have been able to write some great phishing lures with it, and I expect it could be utilized to have more realistic interactive conversations for business email compromise and even attacks over Facebook Messenger, WhatsApp, or other chat apps,” Wisniewski told TechCrunch.

According infosecurity-magazine, a Russian cyber-criminals have been observed on dark web forums trying to bypass OpenAI’s API restrictions to gain access to the ChatGPT chatbot  for nefarious purposes. They have been observed for discussing how to use stolen payment cards to pay for upgraded users on OpenAI and blog posts on how to bypass the geo controls of OpenAI. Some of them still have created tutorials explaining how to use semi-legal online SMS services to register to ChatGPT.

“Right now, we are seeing Russian hackers already discussing and checking how to get past the geofencing to use ChatGPT for their malicious purposes.” said Sergey Shykevich, threat intelligence group manager at Check Point Software Technologies.

According to a recent report from WithSecure, a Helsinki-based cybersecurity company, malicious actors may soon be able to exploit ChatGPT by figuring out how to ask harmful prompts, potentially leading to phishing attempts, harassment, and the dissemination of false information.

“At the beginning, it might have been a lot easier for you to not be an expert or have no knowledge [of coding], to be able to develop a code that can be used for malicious purposes. But now, it’s a lot more difficult,” Karimipour said.

Taking measures by OpenAI

It is important to note that while OpenAI has implemented safety measures to prevent the abuse of ChatGPT, it is still possible for malicious actors to bypass these measures. This highlights the need for individuals and organizations to be aware of the potential risks associated with advanced technologies such as ChatGPT and to take appropriate security measures to protect against hacking attempts.

OpenAI is actively working to improve the safety of their product and respond to potential threats and workarounds identified by cybersecurity experts. According to Hadis Karimipour, an associate professor, OpenAI has refined their safety measures to prevent ChatGPT from being used for malicious purposes over the past few weeks.

“At the beginning, it might have been a lot easier for you to not be an expert or have no knowledge [of coding], to be able to develop a code that can be used for malicious purposes. But now, it’s a lot more difficult,” Karimipour said.

Every new innovation has its pros and cons. The implementation of such applications undergoes ongoing improvements and follows specific strategies to ensure maximum safety evaluations, and that the case of ChatGPT too.


Overall, ChatGPT is a powerful and versatile tool that has the capability to change the way businesses communicate with their customers and clients. However, it’s crucial to be aware of the possible risks and take necessary security precautions to defend against hacking attempts. By being cautious and proactive, organizations and individuals can continue to benefit from ChatGPT while minimizing the potential dangers.

Everyone is talking about ChatGPT: Here is what I learned.


ChatGPT – What is it?

ChatGPT is a large language model trained by OpenAI for generating human-like text. It can be useful for a variety of natural language processing tasks, such as generating text, translating languages, summarizing long documents, and answering questions. Because it is trained on a massive amount of text data, it has a wide range of knowledge and can generate text that is difficult for other models to produce. However, like all language models, ChatGPT has limitations and may not always produce accurate or appropriate text, so it should be used with caution.

It is not capable of making decisions or taking actions on its own. It is up to users to decide how to use ChatGPT and other AI technologies, and it is ultimately the responsibility of human beings to determine how they will be used and how they will impact society.

Facts about ChatGPT:

  • Created by OpenAI.
  • Organization founded by some of high profile entrepreneurs including Elon Musk, Sam Altman in 2015.
  • Valued at around $20 billion.
  • Other products including, DALL·E 2 and Whisper
  • ChatGPT is powered by GPT-3.5 series
  • Crossed 1 million users in just 5 days

Why is it important and how can we use it?

For chat – Simple chat

As the name suggests you can use ChatGPT simply to chat. Ask almost anything then it will give you accurate answers. ChatGPT is a chatbot that helps in generating content for digital marketing campaigns. It’s not just a text generator, this bot also tracks all the conversations and interactions with the audience on a website. It monitors when visitors are browsing and views the website, clicks links and leaves comments.

In short, just ask something and you will get a response, mostly sensible responses – may occasionally generate incorrect information.

Write, debug and code explaining

If you are a programmer, this is huge news for you. You can now use ChatGPT to write and debug code. The app not only write code but also fixes bugs and generates explanation for the code it writes.

The development process might significantly become faster and cheaper if we are able to use AI powered apps to write code. It seems this is happening and it is just beginning.

ChatGPT explains complex topics and concepts related to programming almost equally human levels and I’m wondering what’s stopping it from becoming an alternative to human coders.

For creative writing

Large language models are really good at generating coherent text with structured approach. ChatGPT does the same, structuring creativity with ChatGPT is easier than ever with little guidance and observation. It is able to handle more complex instructions and producing longer-form content such as Poem, Fiction, Non-Fiction and even long form text based essays.

ChatGPT is able to keep track of what has been said previously and use that information to generate appropriate responses. It generates formal or informal text, short and long form, depending on the context and the tone of the conversation. This tool can be beneficial for creating content for social media or other online platforms.

A user asking the chatbot to explain a regular expression and write a short essay on “effects of westward expansion on the civil war”. In both cases, it was incredibly creative too delivering pretty good results.

Deploy a virtual virtual machine (VM)

Jonas Degrave, a researcher showed how he turned ChatGPT into what appears to be a full fledged Linux terminal interacting with the VM here created right from your web browser. A Virtual Machine running inside ChatGPT feels like magic. See the written article by Jonas here.


We not surprised at all, people are using it for various purposes. Some users are using ChatGPT to reverse engineer shellcode, rewrite it in C and others are playing with it to generate nmap scans.


Like any other machine learning model, it is only as good as the data it has been trained on. This means that it may not be able to provide accurate answers to questions or generate responses that are outside of the scope of the data it has been trained on. Additionally, ChatGPT is a text-based model, so it is not capable of providing visual or audio responses. Finally, ChatGPT is not able to browse the internet or access external information, so it can only provide information that it has been trained to generate based on the input it receives. You can see the capabilities and limitations of ChatGPT in the picture below.


Wrap up

We are currently experiencing a huge development in this space, thanks to ChatGPT. ChatGPT is taking the world by storm. It can be used in various areas, including social media content generator, voice assistance, chatbots and virtual assistants, customer care application, meetings, code generators, and for security research areas. This opens the door for a new generation of chatbot innovation, possibly the kind that many anticipated but didn’t see come to pass. At least up till this point.

7 Free AI Tools That Will Help to Grow Your Business

7 Free AI Tools That Will Help to Grow Your Business

Artificial intelligence tools are no longer just for scientists and researchers. Businesses are starting to rely on these tools to automate their customer service, marketing, and sales efforts.

AI is helping businesses to automate their back-end process, such as customer services and inventory management. These tasks are particularly challenging because they require human expertise to discern patterns and make predictions. AI can understand the human interactions without the need for any programming or training on how to use it.

Artificial Intelligence is improving the way we do business in a variety of ways. The AI powered tools are essential for all kind of business as they are helpful to improve efficiency, accuracy, and bringing about new marketing ideas to the company.

If you’ve already got a business or want to start one, AI can help with planning, marketing and other aspects of the business. If you’re looking to improve your business, consider incorporating these 7 free AI tools that will help you to grow your business for sure.

1. Copy.ai

CopyAI is an AI powered copywriter that generates high-quality content for your business. With this tool, you can create high quality content just only in a few minutes. You can write optimized blog content, social media posts or compelling ads and marketing documents just in a few clicks. This powerful AI tool saves you plenty of time and focus on long-term goals. Some helpful templates provide by the software are:

copy ai

2. Beautiful.ai

Beautiful.ai is a presentation maker that takes the design work out of pitch decks. You can create beautiful presentations faster with AI powered slide templates. Beautiful.ai knows what’s on your slide, what you might add later, and how to adjust the layout when you do. Every choice you make saves you time and leads to great design.

Some of powerpoint add-in features are:

  • Hundreds of customizable smart slides make it easy to get a jumpstart on your presentation.
  • Add content, and watch your slides automatically adapt. You don’t have to make designs
  • Create on-brand presentations with custom fonts, colors, and your company’s logo. It comes with image library which consists of millions of free photos.
  • Working on a Team? Create a centralized slide library, so your colleagues can grab and go with pre-built content.
beautiful ai

3. Grammarly

Grammarly helps you write mistake-free articles for your blog posts, emails and social media posts. You can find errors in your writing and make correction suggested by the software. It provides suggestions as you write in desktop applications and sites across the web. Grammarly’s suggestions are comprehensive, helping you communicate effectively and as you intend. It supports almost all major browsers, Microsoft word, Google Docs and even on Apple products.


4. Deep-image.ai

This is one of the best online image upscale softwares. You can increase image resolution without losing the quality. The app is powered by Artificial Intelligence and uses complex Machine Learning algorithms to make your photos look great – even after enlarging!

Its has features including:

  • Increase image size
  • Remove artifacts and noise reduction
  • Remove background and upscale images
  • Sharpen and improve photo quality
  • Increase picture resolution, Light and color correction
deep image

5. Seamless.ai

Seamless.AI is a search engine which helps you to connect directly with your ideal customers so you can build pipeline, shorten your sales cycle, and close more deals at scale. It is a real-time search engine to build a massive list of decision-makers. With this powerful software you can spend more time on selling, and less time building sales prospecting lists. This tool helps you to build accurate leads lists by gathering various information such as emails, phone numbers and more.

seamless ai

6. Zendesk

Zendesk provides complete customer service solution that is easy to use. Zendesk not only makes things easy for you, but sets your teams up for success and keeps your business in sync. It uses AI powered bots to give you instant and accurate answers at anytime, no offline.

You can add a bot to various support channels like messaging, email, Slack to serve more customers to eliminate wait times. These intelligent bots have capability to solve your issues or transfer to the right agent to provide you best solution.


7. Connectly.ai

Connectly offers a unique WhatsApp marketing software that makes 2-way customer communication easy. Its code-free platform lets you create campaigns and interactive mini-bots to easily automate two-way conversations – to both leads and loyal customers at scale. You can use the dashboard to gain the insight of critical data that enables you to keep up with trends and get to know your customers better based on their behavior. The underlying technology used by this tool is Natural Language Processing (NLP) which helps to understand what your customers are saying and give you accurate recommendations on how to improve.


Thats it and thanks for reaching out! Hope you find this helpful. Feel free to share more similar AI powered tools.

The Best Machine Learning Books That All Data Scientists Must Read

best ml books

Machine learning is an exciting field that has been growing rapidly in recent years and it’s only expected to continue to grow as we move forward into the future. There are many different options and topics that data scientists can explore while they’re studying machine learning, but there are some core principles and key texts that you should definitely be familiar with if you want to be taken seriously in this industry.

Today, I’ll take a look at the top machine learning textbooks that I’m currently reading and why you should read as well.

1. Artificial Intelligence: A Modern Approach

Artificial Intelligence is a massive and multi-disciplinary field, so it’s no surprise that there are plenty of resources for those looking to jump into this field. The most highly rated textbook for AI students on Amazon is Peter Norvig and Stuart Russell’s Artificial Intelligence: A Modern Approach. This book was introduced in 1995, and has been updated multiple times since then. This is a heavy book with 27 chapters that covers problem solving and search, logic and inference, planning, probabilistic reasoning and decision making, learning, communication, perception and robotics. Basically everything from common algorithms to neural networks and natural language processing.

Topics Covered:

  • Logical Agents
  • Learning, communication, perception and robotics
  • Supervised, Unsupervised learning and Reinforcement Learning, Machine Learning models and Algorithms
  • Probabilistic Reasoning
  • Natural Language Processing

This book is not only for students but also used by many experts in the field. Here are a few reviews from academics and professionals in the subject.

Experts Opinions

I like this book very much. When in doubt I look there, and usually find what I am looking for, or I find references on where to go to study the problem more in depth. I like that it tries to show how various topics are interrelated, and to give general architectures for general problems … It is a jump in quality with respect to the AI books that were previously available. — Prof. Giorgio Ingargiola (Temple).

Really excellent on the whole and it makes teaching AI a lot easier. — Prof. Ram Nevatia (USC).

It is an impressive book, which begins just the way I want to teach, with a discussion of agents, and ties all the topics together in a beautiful way. — Prof. George Bekey (USC).

2. Deep Learning (Adaptive Computation and Machine Learning series)

Ian Goodfellow, Yoshoua Bengio, and Aaron Courville are three researchers who stand at the forefront of Deep Learning. It comes with general context and comprehensive knowledge on mathematical foundation of Deep Learning. This book is highly recommended to read if you want to start your journey with deep learning.

Topics Covered:

First few chapters cover mathematical concepts for deep learning. You will be able to grasp these without difficulty if you have a concise knowledge of linear algebra, probability and statistics. Part 3 covers Deep Learning Research which include different techniques and methods for deep learning which is quite challenging.

  • Numerical Computation
  • Deep Feedforward Networks
  • Optimization for Training Deep Models
  • Deep Learning Research

Experts Opinions

“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX.

“If you want to know here deep learning came from, what it is good for, and where it is going, read this book.” —Geoffrey Hinton FRS, Professor, University of Toronto, Research Scientist at Google.

3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition

This book is is a must-read book for everyone who seriously wants to enter this field. This is the perfect book for machine learning practitioners as it covers the most important aspects of machine learning, such as classification, regression, clustering, and dimensionality reduction. It simplifies highly complex concepts through concrete examples and real world example. It also provides detailed introduction of popular frameworks such as Scikit-Learn, Keras and TensorFlow. Author Aurélien Géron has put all the concepts in a beautiful manner so you can gain an intuitive understanding of the concepts and tools for building intelligent systems.

You need programming experience to get started, so learning Python programming language would greatly help to complete this book.

Topics Covered:

  • Introduction to machine learning and history
  • Use Scikit-Learn to track an example machine-learning project end-to-end
  • Explore several training models such as Support Vector Machines, Decision Trees, Random Forests, and Ensemble methods
  • Use the Tensor Flow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Techniques for training and scaling deep neural nets.

Experts Opinions

“An exceptional resource to study Machine Learning. You will find clear-minded, intuitive explanations, and a wealth of practical tips.” —François Chollet, Author of Keras, author of Deep Learning with Python.

“This book is a great introduction to the theory and practice of solving problems with neural networks; I recommend it to anyone interested in learning about practical ML.” — Peter Warden, Mobile Lead for TensorFlow.

4. Python Machine Learning – Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2nd Edition

You never want to miss this book If you really want to learn Machine learning. This is perfect book as its primary focus is exclusively on the implementation of a various machine learning algorithms. The book places a special emphasis on using Scikit-learn to implement these algorithms, and is a must for anyone looking to develop mastery around algorithm development.

Sebastian Raschka and Vahid Mirjalili has updated it to third edition in 2020, covering TensorFlow 2, ScikitlearnReinforcement learning, and GANs in the recent release.

Topics Covered:

  • Explore and understand the key frameworks for data science, machine learning and deep learning
  • Master deep neural network implementation using the TensorFlow library
  • Embed machine learning model in web application

These books are well worth to read if you want advance your machine learning knowledge and skills. I’ve printed copies of each book I mentioned above. In addition to that I also started to read several other ML books, pdf copies, watch YouTube videos and research papers to improve my ML skills and knowledge.

A Gentle Introduction to Batch Learning Process


Strategies for machine learning system are classified into two main categories. They are Batch Learning and Online learning. In batch learning, models learn offline while in online learning data flow into the learning algorithm in stream of pipelines. In this article, you will learn:

  • Gentle introduction of batch learning.
  • Problems in batch learning.
  • Solving batch learning problems using online learning method.

So let’s begin…

What is Batch Learning?

Data preprocessing is an important step in machine learning projects. It includes various activities such as data cleaning, data reduction, splitting dataset (training and testing dataset) and data normalization process. To train a well accurate model, a large set of data is required. In batch learning process we use all the data we have for the training process. Therefore, the training process takes time and requires huge computational power.

What is happening under the hood?

After model is fully trained in the development process it will be deployed into the production. Once model is deployed, it will use only the data that we have given to train it. We cannot feed new data directly then let it learn on the fly.

If we want to use new data then we need to start from the scratch. We need to bring down the machine learning model and use new dataset with old data and then train it again. When model trained completely on the new dataset, we then deploy it again to the production.

This is not a complex process perhaps in most of the cases, it might work without any major issues.

If we want to run the machine learning model, in every 24hours or in every week, then training the model from the beginning will be very much time consuming and also expensive. Training a machine learning model with new and old dataset not only requires time and computational power, but also requires large disk space and disk management which may again cost money.

This is fine for small projects but it gets tough in real time where the data is coming from various end points such as IoT devices, computers and from servers.

Training #DatasetDiskspace (TB)

Disadvantages of batch learning

The negative effects of large batch sizes are:

  • Model will not learn in the production. We need to train the model every time with new data.
  • Disk management is costly. As dataset grows then it requires more disk spaces.
  • To train a model with large amount of data set costs time and computational resources.

Online learning

To solve issues we face on batch learning, we use a method called online learning. In online learning, it tends to learn from new data while model is in production. Small batches of data will be used to train the model which are known as mini batches. We will look more into online learning in another article.


In this article we have looked into batch learning strategy and how it works. W’ve highlighted the disadvantages of batch learning and how online learning is used to overcome issues we face in batch learning. Hope you understand something on batch from this article.