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AI has the potential to revolutionize a wide range of industries, from healthcare and transportation to finance and manufacturing, by automating tasks, improving efficiency, and providing new insights and capabilities. These processes include learning (the ability to improve performance based on experience), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI technology is being used in a wide range of applications, from simple tasks such as image and voice recognition to more complex tasks such as decision making, problem-solving, and language understanding. AI in business refers to the use of artificial intelligence (AI) technology to improve business operations and decision making. It is important for companies to adopt a strategic approach in implementing AI, by identifying the specific areas where it can add value, and aligning it with the overall business goals and objectives. As the technology continues to evolve, it is essential for bus...

Artificial intelligence and data science both are most trending and exciting field of technology to learn and discover new things about science and technology. But the question is are they really useful for our future? We will try to understand the answer for this question. We will cover the topic by covering the following questions:- What is artificial intelligence and data science? Is data science related to artificial intelligence? Which is best artificial intelligence and data science? Artificial intelligence and data science in future What is artificial intelligence and data science? Artificial Intelligence When a digital computer attempts to solve a task through the logical reasonings without the help of any human interactions is said to be a artificial intelligence. Artificial intelligence may consists of human characteristics such as logical thinking. searching for solution and learning from past experience. There are many domains of  artificial intelligence some of them a...

Top 7 domains to expertise after learning python Python is one of the most popular programming languages. It is an object-oriented, dynamic semantics and high-level programming language. It's high-level built-in data structure combined with dynamic binding and dynamic typing makes it attractive for rapid application development. Often programmers fall in love with python because of the increased productivity it provides. Python is one of the most readable languages in the world right now. This language is very popular among developers and is widely used by many programmers to create application and programs. The implementation of this programming language is simple and at the same time, the language has a very clean structure as compared to other languages.  So if you mastered your python concepts and skills, you can dominate these 7 domains. Machine learning / Artificial intelligence Desktop GUI Data analytics and data visualization  Web development Game development Mobile ap...

Artificial intelligence is a computer system that is able to perform tasks that ordinarily require human intelligence. Artificial intelligence systems are critical for companies that wish to extract value from data by automating and optimizing processes or producing actionable insights. There are certain domains of artificial intelligence on which we can create our expertise Machine learning Deep learning Robotics Expert systems Fuzzy logic Natural language processing Computer vision  1. Machine learning Machine learning is a subset of artificial intelligence. Machine learning enables computers or machines to make data-driven decisions rather than being explicitly programmed for a certain task. These programs or algorithms are designed in a way that they learn and improve over time when are exposed to new data. Different types of machine learning models Supervised learning Unsupervised learning Reinforcement learning Use cases Product recommendation on a shopping website. spam fil...

In the era of 21st-century artificial intelligence, machine learning and data science became the most demanding and highest paying skills. After the covid-19 pandemic situation, the working style of the corporate sectors and the business had completely changed, now most of the business deals are made on the basis of data analysis, or when it comes to making the businesses automation the people hire a  machine learning engineer.    Hence it becomes really important for those who work in the corporate sector or a student pursuing a degree to get a job should update himself with these skills.  So, I listed you Top 5 machine learning courses from one of the leading organisations with completion certificates at free of cost. 1. Machine learning in the cloud with AWS batch About This course describes how to run and accelerate your machine learning applications in the cloud using AWS batch. AWS Batch is a fully managed service that allows you to easily and efficiently run b...

 What is machine learning(ML)? Machine learning is a subset of artificial intelligence. Machine learning enables computers or machines to make data-driven decisions rather than being explicitly programmed for a certain task. These programs or algorithms are designed in a way that they learn and improve over time when are exposed to new data. Examples:- 1. Product recommendations   While checking for a product did you noticed when it recommends a product similar to what you are looking for? or did you noticed "the person bought this product also bought this" combination of products? How are they doing this recommendation? This is machine learning. 2. Email spam and malware filtering  There are a number of spam filtering approaches that email clients use.  To ascertain that these spam filters are continuously updated they are powered by machine learning. 3. Online customer support A number of websites nowadays offer the option to chat with customer support representati...

Prediction using KNN(K-nearest neighbor) algorithm Hi... there is this blog we will we be working machine learning model using KNN algorithm.  We will take a dataset whose feature column names are hidden but the target class are given, hence we just create a model with KNN algorithm. The dataset I used is from  kaggle.com . This model will able to predict the target class on giving new data features. But before that lets quickly recap what is KNN. KNN   KNN(K-Nearest Neighbors) comes under the category of Unsupervised Machine learning. KNN is a simple algorithm that stores all the available cases and classifies the new data or cases based on similarity measures. KNN is used in the search application where you are looking for similar items. KNN is a lazy learner because it doesn't have a discriminative function from the training data, but what it does it memorises the training data. There is no learning phase of the model.   we will complete these tasks on the fo...

  Predicting the possibility of a passenger to survive from Titanic sinking   Hi... in this task we will predict the possibility of a passenger to survive from Titanic ship sinking. We gonna use Logistic Regression for this task. We gonna use  Titanic dataset  for data analysis and ML model testing. But, before that let's quickly recap what is logistic regression. Logistic Regression Logistic regression comes under the category of supervised machine learning. Logistic regression is a classification algorithm used to assign observations to a discrete set of classes. Logistic regression transforms its output using the logistic sigmoid function to return a probability value which can be mapped into two or more discrete classes. In this example, the model will predict that a passenger would survive or not.  We gonna complete the task in the following steps: 1. Importing Libraries 2. Data wrangling 3. Preparing data for the model 4. Training the ML model 5. Testing t...