Search Result of Machine Learning
Tutorial Found (30)
An Introduction to Machine Learning | The Complete Guide
We are now living in the age of data. Every day we are producing immense data you can not even think of! According to some statistics, we are producing 2.5 quin...
- Published on Sep 8, 2018
Read MoreData Preprocessing for Machine Learning | Apply All the Steps in Python
Data Preprocessing: Data Prepossessing is the first stage of building a machine learning model. It involves transforming raw data into an understandable format...
- Published on Sep 8, 2018
Read MoreRegression
Regression: Basically, Regression is a statistical approach to find the correlations between variables(dependent and independent). In the context of machine le...
- Published on Sep 8, 2018
Read MoreLearn Simple Linear Regression in the Hard Way(with Python Code)
Regression models try to fit the best line to a set of observed data points. While simple linear models use a straight line, other models like multiple regressi...
- Published on Sep 9, 2018
Read MoreMultiple Linear Regression in Python (The Ultimate Guide)
In this tutorial, we are going to understand the Multiple Linear Regression algorithm and implement the algorithm with Python.Tutorial OverviewWhat is Multiple...
- Published on Sep 9, 2018
Read MorePolynomial Regression in Two Minutes (with Python Code)
If you have worked with linear regression models such as simple linear regression or multiple linear regression, you might have observed some drawbacks of tho...
- Published on Sep 9, 2018
Read MoreSupport Vector Regression Made Easy(with Python Code)
Probably you haven't heard much about Support Vector Regression aka SVR. I don't know why this absolutely powerful regression algorithm has scarcity in uses. Th...
- Published on Sep 9, 2018
Read MoreDecision Tree Regression Made Easy (with Python Code)
In this tutorial, we are going to understand the decision tree regression and implement it in Python What is a Decision Tree? This Regression is based on th...
- Published on Sep 9, 2018
Read MoreRandom Forest Regression in 4 Steps(with Python Code)
In this tutorial, we will understand the decision tree regression algorithm and implement it in Python.What is a Random Forest?Random Forest is a supervised lea...
- Published on Sep 9, 2018
Read More4 Best Metrics for Evaluating Regression Model Performance
The performance of a regression model can be understood by knowing the error rate of the predictions made by the model. You can also measure the performance by...
- Published on Sep 9, 2018
Read MoreClassification
Classification: Classification is a machine learning task of predicting the value of a categorical variable(target or class). This is done by building a modal b...
- Published on Sep 9, 2018
Read MoreK-Nearest Neighbor in 4 Steps(Code with Python & R)
There is a proverb- "Birds of a feather flock together" It means same things remain in a common group. I don't know where this proverb has its origin. But the...
- Published on Sep 9, 2018
Read MoreSupport Vector Machine(SVM) Made Easy with Python
Support Vector Machine is one of the popular machine learning algorithms. I assume you have already learned the other classification algorithms like logistic re...
- Published on Sep 9, 2018
Read MoreNaive Bayes Classification Just in 3 Steps(with Python Code)
Naive Bayes provides a probabilistic approach to solve classification problems. Extending the Bayes Theorem, this algorithm is one of the popular machine learni...
- Published on Sep 9, 2018
Read MoreDecision Tree Classification for Dummies(with Python Code)
In this article, we are going to understand the concept of Decision Tree algorithm for classification and then we will implement it in Python.Decision Tree Clas...
- Published on Sep 9, 2018
Read MoreA Simple Explanation of K-means Clustering in Python
In this tutorial, we are going to understand K-means Clustering and implement the algorithm in PythonWhat is Clustering?Clustering is an unsupervised learning a...
- Published on Sep 9, 2018
Read MoreAssociation Rule Learning | Apriori
In this tutorial, we are going to understand the association rule learning and implement the Apriori algorithm in Python.Association Rule Learning: Association...
- Published on Sep 9, 2018
Read MoreReinforcement Learning
Reinforcement Learning: Reinforcement Learning is a branch of Machine Learning, also called Online Learning. It is used to solve interacting problems where the...
- Published on Sep 9, 2018
Read MoreUpper Confidence Bound (UCB) Algorithm: Solving the Multi-Armed Bandit Problem
Your stomach rumbles. Do you go to the Italian restaurant that you know and love, or the new Thai place that just opened up? Do you take your best friend, or r...
- Published on Sep 9, 2018
Read MoreNatural Language Processing
Natural Language Processing: Natural language processing (NLP) is a field of artificial intelligence concerned with the interactions between computers and human...
- Published on Sep 9, 2018
Read MoreDeep Learning
Deep Learning: Deep Learning is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for u...
- Published on Sep 9, 2018
Read MoreArtificial Neural Networks
In this article, we are going to learn and implement an Artificial Neural Network(ANN) in Python.Artificial Neural Network: An artificial neural network (ANN),...
- Published on Sep 9, 2018
Read MorePrincipal Component Analysis
Principal Component Analysis (PCA): Principle Component Analysis or PCA is a popular dimensionality reduction technique that reduces the number of features...
- Published on Sep 9, 2018
Read MoreLinear Discriminant Analysis (LDA)
Linear Discriminant Analysis (LDA): Linear Discriminant Analysis(LDA) is a dimensionality reduction technique, that separates the best classes that are related...
- Published on Sep 9, 2018
Read MoreModel Selection & Boosting
Model Selection & Boosting: Model Selection is the undertaking of choosing a statistical model from an arrangement of candidate models, given information. I...
- Published on Sep 9, 2018
Read MoreK-fold Cross Validation in Python | Master this State of the Art Model Evaluation Technique
Evaluation of machine learning models is important. To build a state of the art machine learning model, you need to make sure the accuracy of your model on ever...
- Published on Sep 9, 2018
Read MoreMachine Learning Algorithms and Techniques in Self-Driving Cars
A Few decades back self-driving cars were the futuristic dream to many people, but as the technology matures, the dream becomes modern reality. A possibility a...
- Published on Aug 2, 2021
Read MoreLocalization for Self-Driving Cars
Localization is one of the most important capabilities for self-driving cars, making it possible to detect their exact location within centimeters inside a map....
- Published on Aug 3, 2021
Read MoreCloud Platform for Self-Driving Cars
Cars may interact with one another through the cloud to avoid accidents and update traffic information and maps. Furthermore, self-driving cars will be able to...
- Published on Aug 17, 2021
Read MoreOperating Systems of Self-Driving Cars
An operating system is the brain of a system. An operating system of a self-driving car makes it intelligent to operate itself without any help from a driver. T...
- Published on Aug 22, 2021
Read MoreBlog Found (0)
Ai Software Found (29)
RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment... See more
Microsoft acquired Bonsai, an AI platform that empowers developers to build, teach and use intelligent systems, in June 2018. Its... See more
Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build... See more
MonkeyLearn is an AI platform that allows you analyze text with Machine Learning to automate business workflows and save hours... See more
Speechmatics® powers applications that require mission-critical, accurate speech recognition using its any-context speech recognition engine. Speechmatics’ speech recognition technology is... See more
Build natural and rich conversational experiencesGive users new ways to interact with your product by building engaging voice and text-based... See more
Infosys Nia is an artificial intelligence and machine learning platform built to help businesses streamline data management and automate complex... See more
Wipro Holmes is a machine learning and artificial intelligence-powered platform that offers cognitive services that accelerate business processes through automation.With... See more
Deep Vision AI is a fully-featured Artificial Intelligence Software designed to serve Enterprises, Startups. Deep Vision AI provides end-to-end solutions... See more
Anaconda is a platform that allows data scientists to deploy machine learning projects quickly, delivering insights to decision-makers.Anaconda Enterprise is... See more
Neuton, a cloud AutoML solution, makes Machine Learning available to everyone. Unlike traditional AI solutions that are very complex thus... See more
Neural Designer is a machine learning platform that allows you to create, train, and deploy neural network models that can... See more
