Best 20 AI and machine learning blogs to follow religiously

Alex Nguyen

Best 20 AI and machine learning blogs to follow religiously

Artificial intelligence (AI) is the future. The top AI scientists are developing this new field at a rapid pace, which affects most industries including law, marketing, and finance and banking. We at Gengo have curated this list of active blogs that you can follow to stay up to date with the latest AI developments.

Alex Nguyen

Engineer AI Technology Blog

Alia Malhotra 2020-02-05

Engineer AI technology blog where you can see latest technology updates and news about Artificial Intelligence (AI), Machine Learning (ML), Tech Business and many more.

Categorical Data : What is it ?

Viraj Yadav 2021-12-17

Clear Cut Data EncodingA normal information researcher burns through 70 – 80% of his time cleaning and setting up the information. What is Categorical Data? Further, we can see there are two sorts of unmitigated informationOrdinal Data: The classifications have an innate requestNominal Data: The classifications don't have an innate requestIn Ordinal information, while encoding, one ought to hold the data in regards to the request in which the classification is given. Like in the above model the most significant level an individual has, gives crucial data about his capability. Ordinal EncodingOrdinal encoding procedure would be applied to classes where we want to safeguard the data about the request.

What is the Difference Between NLP and Text Mining?

Nilesh Parashar 2022-01-18

This is an area that consists of information seek and retrieval, information mining, and system mastering methods. And textual content mining affords precious pointers on a way to change and system it. However, you want no reference corpus for textual content mining machine improvement. To get a textual content mining machine, you must be acquainted with:Techniques are inclusive of Levenshtein Distance, Cosine Similarity, or Feature Hashing. Here is the trouble we've got with the NLP machine: we can't automate the accuracy measurements yet; human participation is desired.

Sachin Dev Duggal Engineer AI DEV Community

Ahana Mehta 2020-04-01

Sachin Dev Duggal Engineer AI is a tech lover.

He love to share things about technology, Engineer AI, Artificial Intelligence, Machine Learning etc.

He also love to travel.

COMPLETE INSIGHTS OF DATA MANAGEMENT SERVICES

business information 2020-04-29

Today, a leading data management company implements AI (Artificial Intelligence) to carry its processes.

AI is all about the terrific science that trains the systems to manipulate human tasks with the help of learning and automation.

Artificial intelligence vs machine learning

nishadnetha 2021-03-17

Artificial intelligence and machine learning are the a part of computing that are correlated with one another.

These two technologies are the foremost trending technologies which are used for creating intelligent systems.

Even in the tech field in general, everyone talks about artificial intelligence vs machine learning and many are eager to learn about them.Visit for more details: https://pradtutorials.com/artificial-intelligence-vs-machine-learning/

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How Artificial Intelligence Will Improve Your Customer Experience

Ashish Sharma 2018-05-23

Even if the technology of artificial intelligence (AI) has not yet crossed the threshold of the office of your company, this does not mean at all, that AI will not be used by you as a tool that will help you solve the most difficult and difficult tasks.

In other words, the system allocated resources only in those areas that really yielded results, thereby increasing the return on costs for digital marketing.

Remember, the more relevant is your offer for the person; the better chances you have to close the deal.

The technology of artificial intelligence can effectively use the methodology of behavioural targeting.

Providing customer support in 24/7 mode The use of chat bots for round-the-clock customer support expands business opportunities to use client data in their CRM-systems to collect extremely valuable customer insight.

These data can be used to optimize various points of interaction with customers, including, for example, chat-bots, creating a feedback loop with consumers.

What is artificial intelligence?

Blockchainx 2023-03-08

Mention artificial intelligence in Blockchain (often abbreviated to “AI”) and one might think of robots or futuristic scenarios. A more appropriate term for thin AI might be narrow AI or artificial narrow intelligence. This kind of artificial intelligence only focuses on specific tasks, such as Apple’s Siri, Amazon’s Alexa, or Google’s self-driving cars. powerful artificial intelligenceStrong AI includes two types of AI: artificial general intelligence (AGI) and artificial superintelligence (ASI). It differs from “artificial general intelligence” or “general artificial intelligence”, which refers to an artificial intelligence system that can successfully perform any intellectual task that a human brain can accomplish, or a machine that far exceeds the hypothetical capabilities of a human brain.

What is Sentiment Analysis?

FutureAnalytica 2022-06-16

What is Sentiment Analysis? A type of textbook analysis, sentiment analysis, reveals how positive or negative guests feel about motifs ranging from your products and services to your position, your announcements, or indeed your challengers. Why is Sentiment Analysis Important? Competitive analysis that involves sentiment analysis can also help you understand your sins and strengths and perhaps find ways to stand out. We hope this article was insightful and helped you to understand sentiment analysis.

AI for Customer Service: Actual Projects Insights

Sigma Software 2018-07-17

When hearing ‘AI for Customer Service’ most would immediately think this is going to be ‘yet another article about chatbots’. No wonder. Chatbots have been one of the hottest topics recently. However, our experience shows that AI can be applied to many other areas of Customer Service business as well. And those possess even more potential to boost your business.

Best Customer Service Chatbots To Relieve 20-30% Of The Load

As the hottest topic in 2017, AI support bots were expected to be a game changer. And even though the ebullience faded a bit when it became clear that even best customer service chatbots still have a lot to learn, a properly designed and trained chatbot can substantially relieve the load on 1-st line support.

As statistical data show, 87% of chatbot users worldwide consider them efficient or very efficient in resolving issues.

As you see AI and ML benefits for customer service are already obvious. AI and ML are definitely changing the rules of the game in the customer support industry and the use of AI/ML technology in this industry will only grow.

However, AI and ML are rather additional tools, which can amplify but not replace traditional customer service automation software and savvy approach to automation. No matter how intelligent your systems are – they are just the reflection of your organization and your processes, which should never be neglected.

What is Machine Learning | How Machine Learning Works

Great Learning 2020-01-16

What is Machine Learning: is an Application of Artificial Intelligence (AI) it gives devices the ability to learn from their experiences and improve their self without doing any coding.https://www.greatlearning.in/blog/what-is-machine-learning/

What are the Data Analysts Primary Responsibilities?

Ishaan Chaudhary 2021-12-14

ResponsibilitiesHowever, a data analyst's responsibilities often include the following:Data MiningData mining is the process of extracting patterns and other useful information from big data sets. To prepare data for manipulation and display by Data Scientists, they use a variety of data cleaning procedures. Cooperating with Other GroupsData analysts help Data Scientists, Machine Learning Engineers, and other software development teams prepare data. As a result, one of the most critical jobs of today's Data Analysts is to manage data and information security. Technical knowledge of data models, data mining, and segmentation techniques is also required.

How AI and Machine Learning Reinvigorate the Insurance Industry

Manohar Parakh 2021-09-08

Like every other industry, data has also been the core of the insurance industry.

Over the due course of time, what actually has changed is the amount of data and the speed at which machines are processing it for driving useful insights.

Data-driven insights play a vital role in boosting this industry by making decisions based on facts, figures, and user patterns.

Insurance providers adopt Artificial Intelligence (AI) & Machine Learning (ML) technologies to enhance the end-user experience, develop improved solutions for increasing operational efficiency, and build accurate underwriting models.Machine Learning is an application of Artificial Intelligence technology that allows computer systems to deploy algorithms for learning and improving my experience.

Such algorithms are used for building mathematical models which can be used as training data, allowing systems to make decisions & predictions.AI & ML in Insurance IndustryAI and ML technologies make it easier for insurance providers to use the data at their desired pace and way.

Many organizations in this industry have access to data that is usually structured and stored in databases.

The Future of Technology: Unleashing the Power of Machine Learning

Sahil Singh 2023-10-17

While some of these ideas may still be in the realm of imagination, the future of technology is undoubtedly intertwined with the burgeoning field of machine learning. As we stand on the cusp of a new era, it's essential to explore the impact of machine learning and what the future holds for this powerful technology. Financial Services: Machine learning is used to detect fraudulent transactions, optimize trading strategies, and assess credit risk. Manufacturing: Predictive maintenance in manufacturing helps reduce downtime and maintenance costs by using machine learning to anticipate equipment failures. Healthcare Revolution: Machine learning will continue to advance precision medicine by tailoring treatments to an individual's genetic makeup.

Future Of Software Testing In 2023 & Beyond

martechcube 2023-05-10

From the introduction of the Internet to the widening of the mobile industry and the introduction of technologies like Artificial Intelligence, Machine Learning, and high-speed network solutions like 5G, things have never been the same. However, I believe, the growing interactions of the users with the digital environment and the need for sustainable solutions have definitely become a reason for greater focus on quality and software testing. To underline, the future of software testing is more about existing and upcoming technologies and how they can be used to harness the maximum potential of QA processes. From refining the user experience to the integration of test automation with machine learning, IoT, and practices like Agile and DevOps, let us quickly jump on learning how they are likely to change the future of software testing. Also known as performance engineering, testers working on performance-oriented test scripts could work on improving aspects related to software and hardware.

How is AI Changing the Medical Industry?

Nishit Agarwal 2021-11-29

According to Frost & Sullivan's research, the healthcare AI industry is expected to develop at a compound annual growth rate of 40% by 2021, potentially improving healthcare outcomes by 30%-40% and halving treatment costs. According to Accenture's study, important AI applications in healthcare might result in yearly savings of $150 billion for the US healthcare industry by 2026. The following are a few contemporary examples: ● Radiology: Artificial intelligence (AI) technologies are being developed to assist in the automated interpretation and diagnosis of images. However, our automated assistants, aided by cutting-edge artificial intelligence, will be beneficial in saving and prolonging human lives. This is the near-term future of artificial intelligence in healthcare.

What is deep learning

Varsha solanki 2021-02-10

Deep learning is a subset of machine learning and which in turn is a subset of artificial intelligence.

Artificial intelligence is a process of teaching a computer to work as a human, machine learning is a technique to apply AI through algorithms trained using data and Deep learning is a type of machine learning inspired by the structure of the human brain.Look into: https://www.globalvoxinc.com/deep-learning/

5 Common Misconceptions about AI

Rei Morikawa 2019-07-01

In recent years, AI has evolved into one of the hottest topics for discussion. However, while AI is getting an increasing amount of attention as its applications and capabilities grow, there are still many misconceptions about what AI is and what it can do.

The Art of Algorithms: Unleashing Intelligence with Machine Learning

Zaid 1 2024-02-13

This exploration delves into the intricate world of machine learning algorithms, their diverse applications, and the transformative intelligence they bring to various domains. The Tapestry of Machine Learning AlgorithmsSupervised LearningCanvas: Labeled training data guides the algorithm to make predictions or decisions. Education Canvas:Brushstrokes: Adaptive learning platforms, student performance prediction, and personalized learning experiences. Conclusion:The art of algorithms in machine learning transcends mere computational processes; it is a fusion of creativity, precision, and adaptability. In the hands of skilled artisans, machine learning algorithms unveil the beauty of intelligence, promising a future where AI becomes an integral part of our collective ingenuity.

Common Mistakes Data Scientists Should Avoid in Their Career

Mayank Deep 2022-07-04

As more companies become data-driven and the globe becomes more linked, every firm may require data science for representation. This blog discusses deadly data science blunders individuals make while beginning their professions. Theory-HeavyMany newcomers waste too much time on theory, whether it's linear algebra, statistics, or machine learning algorithms, derivations, etc. Not Developing Data Visualisation Skills EarlyMost data science beginners develop models and make predictions. Find a data science mentor and ask how they handled their career, how they got the position they wanted, what resources they had, etc.