Top 10 August '21 AI Articles to Read Now
See the 10 most popular articles from the AI zone with topics covering must-have skills, computer vision, clustering algorithms, creating Chatbots, and much more!
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AI is one of the top trending technologies with a wide scope of development. From chatbots to voice assistants, AI is slowly making its way in our lives. How awesome would it be to find top trending articles in the AI Zone in one place so that you can always stay up to date with the latest trends in technology? We dug into Google analytics to find the top 10 most popular AI articles in August. Let's get started!
10. 5 Must-Have Skills to Become a Machine Learning Engineer
Machine learning helps devices perform tasks without explicitly specifying the tasks in code. This article covers the skills required to become a Machine Learning Engineer. Learn and develop the skills to progress in ML by checking out the article below!
9. Open Source Datasets for Computer Vision
In this article, get to know some of the most popular and effective datasets used in the domain of Deep Learning (DL) to train state-of-the-art ML systems for CV tasks. Learn what Computer Vision is and the importance of CV in AI.
8. Imputing Missing Data Using Sklearn SimpleImputer
Use Python's Sklearn SimpleImputer for imputing/replacing numerical and categorical missing data using different strategies. Read this article to fill in the missing data using Python.
7. 10 Interesting Use Cases for the K-Means Algorithm
When it comes to clustering algorithms, K-Means is one of the commonly used ones of the bunch. This article covers more on the K-Means algorithm and interesting use cases to use the K-Means algorithm effectively.
6. Top 10 Most Popular AI Models
AI is progressing fast and with more and more new developments. Read this article to find out the top 10 most popular AI Models and get to know how many you are familiar with. Perform predictive analysis and derive results based on data.
5. ML Metrics: Sensitivity vs. Specificity
How do they measure performance in an ML machine? What are Sensitivity and Specificity? This article provides an explanation of the concepts related to Sensitivity and Specificity and how are they used for measuring the Machine Learning model performance.
4. Introduction to Classification Algorithms
Classification Algorithms are different from Clustering algorithms. Here, is an introduction to classification algorithms, their features, and the various types of classification algorithms.
3. Top 5 AI and Machine Learning Trends for 2022
AI and Machine Learning are bringing in exciting changes and smart machines that derive results from raw data. Follow the top 5 AL and Machine learning trends for the year 2022.
2. KMeans Silhouette Score Explained With a Python Example
Now that you have created your clusters, learn about the concepts of KMeans Silhouette Score in relation to assessing the quality of K-Means clusters fit on the data.
1. Build Your First Python Chatbot Project
Chatbots have now become essential for a business. With multiple benefits like acting as the first contact between user and product to handle queries and complaints, and an efficient chatbot can reduce workload considerably. In this article, learn how to build your first Python Chatbot.
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