A-tour-of-the-top-10-algorithms-for-machine-learning-newbies
Machine learning is the technique of computers to act without being explicitly programmed. Machine learning is so common today that you probably use it dozens of times a day without knowing it.The examples are self-driving cars, practical speech recognition, effective web search etc. Show
Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs. Selecting the right algorithm is a key part of any machine learning project, as there are many algorithms available to choose, understanding their strengths and weaknesses in various business applications is essential. Machine learning algorithms can be divided into 3 broad categories:
SUPERVISED LEARNING
Supervised Learning goes through the following steps:
UNSUPERVISED LEARNING
Unsupervised Learning goes through the following steps:
SEMI-SUPERVISED LEARNING
REINFORCEMENT LEARNING
Reinforcement learning goes through the following steps:
SUMMING UP WITH AN EXAMPLE,Machine learning is a field that is continuously being innovated. It is important to keep in mind that algorithms, methods, and approaches will continue to change. We have designed a small sample project that talks about ‘Machine Learning-Based Text Processing’. The High-level flow has been explained with a sample project published on GitHub. What are the 5 popular algorithm of machine learning?Here is the list of 5 most commonly used machine learning algorithms.. Linear Regression.. Logistic Regression.. Decision Tree.. Naive Bayes.. What is the 10 times rule for machine learning?Generally speaking, the rule of thumb regarding machine learning is that you need at least ten times as many rows (data points) as there are features (columns) in your dataset. This means that if your dataset has 10 columns (i.e., features), you should have at least 100 rows for optimal results. Which algorithm is most widely used in machine learning?List of Top 10 Common Machine Learning Algorithms. Linear Regression.. Logistic Regression.. Decision Tree.. Naive Bayes.. K-Means.. Random Forest.. Which is the simplest machine learning algorithms?Without Further Ado, The Top 10 Machine Learning Algorithms for Beginners:. Linear Regression. In machine learning, we have a set of input variables (x) that are used to determine an output variable (y). ... . Logistic Regression. ... . CART. ... . Naïve Bayes. ... . Apriori. ... . K-means. ... . PCA. ... . Boosting with AdaBoost.. |