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Information Technology

Machine Learning Made Easy by PyCaret


PyCaret is a python open source low-code machine learning library created by Moez Ali and released in April 2020. It is literally a low-code library which allows to create an entire machine learning pipeline with very few lines of code. PyCaret is essentially a wrapper built on common python machine learning libraries such as scikit-learn, XGBOOST and many more. What PyCaret achieves is a higly simple yet functional syntax. For instance, we can compare 18 classification models with 1 line of code.

How Musk Really Made His Billions


It's time to tell the truth. Billionaires are not like the rest of us. To their credit, They think and act differently. Elon Musk saw his net worth soar to $70.5 billion Friday, and it's up again today. The 49 year old Tesla ((TSLA) -Get Report) chief is now the seventh richest person in the world.

Classifying The Modern Edge Computing Platforms


A decade ago, edge computing meant delivering static content through a distributed content delivery network (CDN). Akamai, Limelight Networks, Cloudflare and Fastly are some of the examples of CDN services. They provide high availability and performance by distributing and caching the content closer to the end user's location. The definition of the edge has changed significantly over the last five years. Today, an edge represents more than a CDN or a compute layer.

Building Minecraft villages with AI


Minecraft is one of the most successful games of all time and continues to be a fun and exciting space for gamers of all ages all around the world. It's home to thousands of creators who work together to build massive structures and landscapes or just chill out and focus on building their own wee home away from home. But what if instead of humans coming together to build these structures both big and small, we challenged AI systems to do it themselves? This is the focus of the GDMC -- the Generative Design in Minecraft Competition -- where academic researchers are building AI systems that build entire Minecraft villages by themselves. So before we start exploring the AI systems in earnest, let's cover the basics of the competition itself.

Artificial Intelligence: How It Shapes the Future of Business Today


We all live in the digital era, with many innovations easing both our daily lives and business activities thanks to Artificial Intelligence (AI). In this article, we tried to cover a few major points which benefits can digital mind bring to us all and how we may profit from the synergy effect of introducing AI for industrial purposes. The good old Artificial Intelligence is directly connected to Data Science which is, if put shortly, the field of study aimed at gaining business value from arrays of data. This value may consist, for example, in expanding the capabilities of forecasting, awareness of regularities, justified decision-making, etc. In a narrower sense, we may say that AI is algorithms and methodologies for information processing.

Traceable raises $20 million for AI system that shields cloud app APIs from cyberattacks


Traceable, a startup developing an end-to-end cloud app security solution, today emerged from stealth with $20 million in venture equity financing. Newly flush with capital, CEO Jyoti Bansal intends to focus on acquiring customers globally while growing Traceable's team and accelerating R&D. Cloud-native apps are often built with hundreds or even thousands of API microservices (i.e., loosely coupled services), making them difficult to protect at scale. Gartner predicts that by 2022, API abuses will be the most frequent attack vector, which isn't surprising considering API calls represented 83% of web traffic as of 2018. Traceable ostensibly protects these APIs with machine learning algorithms that analyze app activity from the user and the session all the way down to the code.

How Is Data Science, Machine Learning & Artificial Intelligence Beneficial to Us?


Technology is the tool that is empowering the human race with its astonishing innovations. Almost every object that we come across is based on the foundation that has a significant share in digitizing our lives. Determining which is better data science or artificial intelligence is undermining one over another. However, both the technologies have their contribution to revolutionizing not only the business operations but also the lifestyle. This article aims to cover the technologies that have become a major sector of investment in the IT industry.

5 Reasons Why Emotional Intelligence Is the Future of Work


Human emotion is one of the most powerful forces on the planet. Emotions start wars and create peace; spark love and force divorce. While unavoidable, emotions are also indispensable sources of orientation and propel us to take action. But unbridled emotion can make us and those around us to act irrationally. Emotional intelligence is a relatively new construct, but its impact on how we work will be significant moving forward.

Heybaby is a new dating app for parents and people who want to be parents


As you scroll through dating apps you start to spot trends, like fishing photos or mentions of The Office. Often a potential match has a photo with a child, and their bio says something akin to, "That's just my nephew." Or niece, or cousin, or whatever small relative one feels compelled to show suitors. If you're only looking for hookups, it's somewhat justifiable to make it clear that you're not a parent. While users may want future partners to see how good they are with children -- hence the nephew photos -- it's likely just to relate back to their sex appeal.

Google Moves to Secure the Cloud From Itself


Sensitive data needs to be encrypted both when it's at rest and in transit--that is, when it's passively stored and when it's being sent from one spot to another. Covering these two bases protects information a lot of the time, but still doesn't account for every scenario. Now Google Cloud Services--which counts PayPal, HSBC, and Bloomberg as customers--is working to fill a crucial gap. When you're storing tons of data in the cloud, you typically don't just move it into place and then leave it. Organizations generally want to actively process the information they hold--meaning cloud customers want to comb and index their data, train machine learning models with it, or otherwise crunch some numbers.