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Top Machine Learning Courses to Attend for Sure in 2022.
Professionals like machine learning engineers and NLP scientists are among the most promising and interesting career opportunities existing today. There's a countless supply of applications and industries where machine learning plays a major role in making them more intelligent and efficient. This subject is focused on helping the aspirants learn the mathematical aspects of machine learning algorithms and their utilization in programming languages. If you are interested in building a career in this niche, consider checking the list below. Here are the top machine learning courses to enroll in 2022 for sure.
Machine Learning Course by Stanford
Duration: 54 hours
This program is designed to teach machine learning, kernels, neural networks, support vector machines, and related concepts using the best learning techniques. With this specialization, one can learn the tricks and techniques of machine learning and AI innovation processes. This is one of the top machine learning courses covering major topics like logistic regression, artificial neural network, machine learning algorithms, database mining, regularization, linear regression with multiple one variables.
Machine Learning A-Z: Hands-On Python & R in Data Science
Duration: 44 hours
This is one of the top machine learning courses which is the brainchild of expert Data Scientists who intended to help individuals gain in-depth knowledge of complex algorithms and theory relevant to the subject. The program has fun and exciting programs to learn the following topics such as data preprocessing, clustering, association rule learning, natural language processing, artificial neural networks, parameter tuning, K-fold cross-validation, grid search and more.
Machine Learning, Data Science, and Deep Learning with Python
Duration: 14 hours
The specialization covers all the major topics related to machine learning such as artificial intelligence, neural networks, K-means clustering. You can also learn about the technicalities of data visualization with Seaborn and MatPlotLib along with the practical implementation of machine learning at a large scale with MLLib Apache Spark. This is one of the top machine learning courses that covers topics such as neural networks and deep learning with Keras and TensorFlow, transfer learning, sentiment analysis, multilevel models, regression analysis, random forests and decision trees, reinforcement learning, feature engineering, hyperparameter tuning, and more.
Machine Learning with Javascript
Duration: 17.5 hours
Designed for the Javascript developers this is one of the top machine learning courses that will take you into the depths of advanced memory profiling, building Tensorflow JS library powered apps, writing ML code, and other major topics which are apt for the subject. The primary topics covered in this machine learning course are such as identifying relevant data, algorithms overview, Tensor concatenation, linear regression, matrix multiplication, plotting MSE values with Javascript, and Logistic regression.
The Complete Machine Learning Course with Python
Duration: 17.5 hours
This is one of the top machine learning courses that can help you to differentiate between machine learning and classical programming, deep learning, and machine learning. This learning program provides detailed insight into the following topics to linear regression with scikit-learn, robust regression, cross-validation, logistic regression, radial basis function, visualizing boundary, kNN introduction, dimensionality reduction concept, and clustering.
Data Science: Machine Learning
Duration: 8 weeks
This program is offered by Harvard University which is designed to help the aspirants to learn machine learning and the technical problems associated with it. Unlike other machine learning courses, it helps in learning the program into ML’s data science methodologies. The program offers knowledge of training data and efficient ways of using data sets to discover predictive relationships. It is one of the top machine learning courses that deal with topics such as machine learning basics, machine learning algorithms, cross-validation.
Intro to Machine Learning with PyTorch
Duration: 3 months
This is one of the machine learning courses that is offered by Udacity, this is a nanodegree to enhance your skills and knowledge in supervised models, machine learning, and data cleaning. The course is divided into different steps with each one offering practical experience to the learners where they can test skills through code projects and exercises. This is one of the top machine learning courses that is offered by Udacity.