TechnoCoders

Posts

Showing posts with the label how to learn ai and ml

Three Key Factors Making AI Adoption Hard For Startups | April 2021

GETTY The last decade has seen the advent of some remarkable technologies. We have witnessed mobile app ecosystems mature after iOS, and Android app stores were launched in the late 2000s. Anyone with a cool idea can build an app and launch it. Many tech giants such as Uber, Snapchat and Instagram were born out of this. We have also seen cloud computing become mainstream and enable anyone to get access to compute resources without the hassle of buying expensive servers. Artificial intelligence also got the spotlight in the same decade. Mobile apps and cloud computing are disruptive technologies that favor the underdogs (i.e., they leveled the playing field). But AI as a technology is biased in favor of large corporations over startups. There is no doubt that AI will stay in the digital world for a very long time. Businesses are already investing their resources to adopt AI, but it also comes with many challenges, especially for startups. A startup means fewer resource...

What is Calculus in Machine Learning | April 2021

I. Introduction A machine learning algorithm (such as classification, clustering or regression) uses a training dataset to determine weight factors that can be applied to unseen data for predictive purposes. Behind every machine learning model is an optimization algorithm that relies heavily on calculus . In this article, we discuss one such optimization algorithm, namely, the Gradient Descent Approximation (GDA) and we’ll show how it can be used to build a simple regression estimator. II. Optimization Using the Gradient Descent Algorithm II.1 Derivatives and Gradients In one-dimension, we can find the maximum and minimum of a function using derivatives. Let us consider a simple quadratic function f(x) as shown below. Minimum of a simple function using gradient descent algorithm. Image by Benjamin O. Tayo Suppose we want to find the minimum of the function f(x) . Using the gradient descent method with some initial guess, X gets updated according...

Top 15 Python Libraries For Data Science & Best Tutorials To Learn Them | April 2021

Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python never ceases to surprise its users. Most data scientists are already leveraging the power of Python programming every day. Python is an easy-to-learn, easy-to-debug, widely used, object-oriented, open-source, high-performance language, and there are many more benefits to Python programming. Python has been built with extraordinary Python libraries for data science that are used by programmers every day in solving problems. Here today, We have curated a list of best 15 Python libraries that helps in Data Science and its periphery, when to use them, their advantages and best tutorials to learn them. For some Python Code you may follow this GitHub Repository 1. Pandas Pandas is an open-source Python package that provides high-performance, easy-to-use data structures and data analysis tools for the labeled data in Python programming language. Pandas stand for ...

MSI Bravo 15 vs Lenevo Legion 5 | Lenevo vs MSI | Laptop Comparison | Laptop Under 80K

We are going to compare two top gaming laptops of 80,000 INR that is Lenevo Legion 5 and MSI Bravo 15. Both brands are well know for there updated technologies in computer sector. They launch their laptops in value for money and here the main confusion among the buyers occurs and which one is best for there use. here we are going to help you out from this huge confusion. Compare specifications MSI Bravo 15 Lenovo Legion 5 Processor (CPU) AMD Ryzen 7 4800H AMD Ryzen 7 4800H Processor Speed 4.2 GHz 4.2 GHz Memory (RAM) 16gb 8gb Graphics card (GPU) Radeon RX 5500M (4 gb) GeForce GTX 1650 Ti (4 gb) Screen size 15.6″ Full HD (1920 x 1080 pixels) 15.6″ Full HD (1920 x 1080 pixels) Screen Refresh Rate 144 Hz 120 Hz Weight 1.96 kg 2.3 kg Operating system (OS) Windows 10 Windows 10 Home Hard drives 512gb SSD No HDD 256gb SSD 1 TB HDD Battery Life 6.5 Hours 6.8 Hours Amazon Lowest New Price The price of both Laptop are approximately same but the spec...

Genetic Storage | DNA Data Storage | Microsoft Research

With a “hello,” Microsoft and UW demonstrate first fully automated DNA data storage Researchers from Microsoft and the University of Washington have demonstrated the first fully automated system to store and retrieve data in manufactured DNA — a key step in moving the technology out of the research lab and into commercial datacenters. In a simple proof-of-concept test, the team successfully encoded the word “hello” in snippets of fabricated DNA and converted it back to digital data using a fully automated end-to-end system, which is described in a new paper published March 21 in Nature Scientific Reports. DNA can store digital information in a space that is orders of magnitude smaller than datacenters use today. It’s one promising solution for storing the exploding amount of data the world generates each day, from business records and cute animal videos to medical scans and images from outer space. Microsoft is exploring ways to close a looming gap between the amou...

Nine Things to Check While Choosing A Cloud Service Provider

As more and more IT systems are outsourced, zeroing in the best cloud providers is critical to long-term success. The market is already vast, with different brands offering large numbers of services. Apart from the big providers like Microsoft, Amazon, and Google, there are also smaller niche players who provide bespoke services. With too many choices to opt from, you must put down the selection and procurement process appropriate as per the needs. The Right Time to Select a Cloud Service Provider It is significant to understand the requirements of a business before choosing a cloud service provider. Clarifying the specific needs and minimum expectations in advance while assessing providers ensures that they are compared against the requirement checklist and not against their competitors. It is a faster way to narrow down the list of providers. With more clarity on the requirements such as technical, service, security, data governance and service management, you will be b...