What is Explainable AI? Concepts & Examples
Explainable AI is an important part of artificial intelligence. It provides humans with the ability to explain how decisions are made by machines. This helps people trust and understand what’s happening, instead of feeling like their information is being taken advantage of or used without their permission. In this blog post, we’ll explain explainable AI and explain it with examples so you know how it works! What is Explainable AI and how does it work? Explainable AI is defined as AI systems that explain their reasoning behind the prediction. Explainable AI is part of the larger umbrella term for artificial intelligence known as “interpretability.” Explainable AI is a type of …
NIT Warangal offers one-week online training on AI, Machine Learning
Are you interested in learning about AI and Machine Learning, or refresing your concepts? NIT Warangal offers one-week online paid training (minimal fees) on AI, Machine Learning. This program is a great opportunity for students to learn about AI & machine learning basics and advanced concepts. It is organized by the Department of Electronics and Communication Engineering & Department of R&D in association with Center of Continuing Education. It will be taught by experience professors who have years of experience in their respective fields. The course will take place between 30th November to 4th December 2021, and it is open to all Faculty/ Research Scholars/Industry professionals/ and other eligible students …
ML Engineer vs Data Scientist: Differences & Similarities
In today’s world, ML (machine learning) engineer and Data scientist are two popular job positions. These positions have a lot of overlap but there are also some key differences to be aware of. In this blog post, we will go over the details of ML engineers vs Data scientists so you can decide which one is right for you! What does an ML engineer do? An ML engineer primarily designs and develops machine learning systems. Before getting into the roles & responsibilities of an ML engineer, let’s understand what is a machine learning system. A machine learning system can be defined as a system that comprises of one or more …
Different Types of CNN Architectures Explained: Examples
The CNN architectures are the most popular deep learning framework. CNNs are used for a variety of applications, ranging from computer vision to natural language processing. In this blog post, we will discuss each type of CNN architecture in detail and provide examples of how these models work. Different types of CNN Architectures The following is a list of different types of CNN architectures: LeNet: LeNet is the first CNN architecture. It was developed in 1998 by Yann LeCun, Corinna Cortes, and Christopher Burges for handwritten digit recognition problems. The model has five convolution layers followed by two fully connected layers. LeNet was the beginning of CNNs in deep learning …
Real-World Applications of Convolutional Neural Networks
Convolutional neural networks (CNNs) are a type of deep learning algorithm that has been used in a variety of real-world applications. CNNs can be trained to classify images, detect objects in an image, and even predict the next word in a sentence with incredible accuracy. CNNs can also be applied to more complex tasks such as natural language processing (NLP). CNNs are very good at solving classification problems because they’re able to identify patterns within data sets. This blog post will explore some CNN applications and discuss how CNN models can be used to solve real-world problems. Before getting into the details of CNN applications, let’s quickly understand what are …
Week Nov1, 2021: Top 3 Machine Learning Tutorial Videos
The field of machine learning is a vast topic and it can be hard to know where to start. In this blog post, we’ll cover the top three free tutorial videos on machine learning from YouTube published this week (Week of Nov 1, 2021). These videos will help you get started with the basics of machine learning & deep learning, introduce you to some popular algorithms in use today, and give you an idea of what’s possible when building a model from scratch. Build a Machine Learning Project From Scratch with Python and Scikit-learn Let’s say you want to build a machine learning project from scratch. Maybe you’re not sure …
Support Vector Machine (SVM) Interview Questions
Support Vector Machine (SVM) is a machine learning algorithm that can be used to classify data. SVM does this by maximizing the margin between two classes, where “margin” refers to the distance from both support vectors. SVM has been applied in many areas of computer science and beyond, including medical diagnosis software for tuberculosis detection, fraud detection systems, and more. This blog post consists of quiz comprising of questions and answers on SVM. This is a practice test (objective questions and answers) that can be useful when preparing for interviews. The questions in this and upcoming practice tests could prove to be useful, primarily, for data scientists or machine learning interns/ …
AI Product Manager Interview Questions
AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your candidate’s experience, skills, and industry knowledge so that you can get prepared in a betterinterma manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Here are some interview questions that you can get when you are appearing for AI / Machine learning (ML) product manager (PM) job: …
Difference between Data Science & Decision Science
Data science and decision science are two data-driven fields that have grown in prominence over the past few years. Data scientists use data to come up with conclusions or predictions about things like customer behavior, while decision scientists combine data with other information sources to make decisions. The difference between data science and decision science is important for business owners who want to make informed decisions. In this post, you will learn about the difference between data science and decision science. Those venturing out to learn data science must understand whether they want to learn data science or decision science or both. The following are some of the key questions …
OKRs vs KPIs: Differences and Examples
The difference between OKRs and KPIs is not always clear, but the concept is a great way to measure your business objectives. In this blog post we will discuss OKR vs KPI and how each can be used to measure different aspects of your team’s and organization’s performance. We’ll also go over real-world examples for both OKRs and KPIs so you can get a better understanding of how these metrics work in real life. What are OKRs? OKR stands for Objectives and Key Results. This is a method for setting business objectives, aligning your teams around them, measuring your performance against those objectives, and re-aligning whenever necessary. OKRs allow teams …
Free Python & R Training from Spoken Tutorial Initiative
Many people today are interested in learning Python and R. Are you starting on data science and machine learning and looking to get trained with python and R skills? These two programming languages are very popular because they allow for the analysis of data sets that is not possible with other tools. The training offered at Spoken Tutorial Initiative will introduce you to Python and R, while also providing helpful tips on how to use them effectively. Spoken Tutorials Initiative by IIT Bombay is an initiative of NME (National mission on Education) through Govt. of India, ICT, MoE to promote IT literacy on free and open source software (FOSS) by …
Machine Learning Examples from Daily Life
Machine learning is a powerful machine intelligence technique that can be used in a variety of settings to generate data insights. In this blog post, we will explore real-world or real-life machine learning / deep learning / AI examples from daily life. We’ll see how machine-learning techniques have been successfully applied to solve real-life problems. The idea is to make you aware of how machine learning and data science applications are everywhere. What are some real-world examples of machine learning from daily life? Here are some real-world examples of machine learning that we use in our daily life: Best driving directions (Google Maps): A bunch of machine learning / deep …
8 Months Data Science Program from IIT Chennai
Are you looking for a new job or build your career in the field of data science? Data science is the hottest career in India right now. It is one of the most sought after skills today. It’s not just about crunching numbers anymore – it’s an exciting, dynamic field that requires creativity and critical thinking. With data science, you can solve problems and make a real impact on society. And with IIT Madras offering diplomas in data science, there has never been a better time to get started! IIT Madras has launched its diploma program in Data Science for college students, working professionals and job seekers who aim to …
Convex optimization explained: Concepts & Examples
Convex Optimization is one of the most important techniques in the field of mathematical programming, which has many applications. It also has much broader applicability beyond mathematics to disciplines like Machine learning, data science, economics, medicine, and engineering. In this blog post, you will learn about convex optimization concepts and different techniques with the help of examples. What is convex optimization? A convex optimization problem is an optimization problem where you want to find a point that maximizes/minimizes the objective function through iterative computations (typically, iterative linear programming) involving convex functions. The objective function is subjected to equality constraints and inequality constraints. Inequality constraints indicate that the solution should lie …
Accounts Payable Machine Learning Use Cases
The machine learning for accounts payable market is expected to grow from $6.1 million in 2016 to $76.8 million by 2021, at a compound annual growth rate (CAGR) of 53 percent. The software industry is rapidly embracing machine learning for account payable. As account payable becomes more automated, it also becomes more data-driven. Machine learning is enabling account payables stakeholders to leverage powerful new capabilities in this arena. In this blog post, you will learn machine learning / deep learning / AI use cases for account payable. Key Business Processes for Accounts Payable Here are the key business processes in relation to Accounts Payable: Supplier onboarding: Collect basic information about …
Stock Price Prediction using Machine Learning Techniques
In the past few decades, many advances have been made in the field of data analytics. Researchers are now able to predict stock prices with higher accuracy due to analytical predictive models. These predictive techniques utilize data from previous stock price movements and look for patterns that could indicate future stock price changes in the market. The use of these machine learning techniques will allow investors to make better decisions and invest more wisely by maximizing their returns and minimizing their losses. In this blog post, you will learn about some of the popular machine learning techniques in relation to making stock price movement (direction of stock price) predictions and …
