Machine learning with R in collaboration with IBM


(MENAFN- Market Press Release) You will learn to make use of the R language to access databases, clean, analyze, and visualize data with R. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with R.
Machine Learning Languages, Types, and Examples
Machine Learning vs Statistical Modelling
Supervised vs Unsupervised Learning
Supervised Learning Classification
Unsupervised Learning
You will find out Supervised vs Unsupervised Learning, check into just how Statistical Modeling pertains to Machine Learning, and also perform their comparison.
Look at real-life instances of Machine learning and just how it impacts society in ways you might not have guessed!
Explore a lot of algorithms and models:
. Popular algorithms: Dimensional, Clustering, Regression, and Classification Reduction.
. Popular models: Train/Test Split, Root Mean Squared Error, as well as Random Forests.
Get ready to do a lot more learning than the machine of yours!
Machine Learning Languages, Types, and Examples
Machine Learning vs Statistical Modelling
Supervised vs Unsupervised Learning
Supervised Learning Classification
Unsupervised Learning
K-Nearest Neighbors
Decision Trees
Random Forests
Reliability of Random Forests
Advantages Disadvantages of Decision Trees
Regression Algorithms
Model Evaluation
Model Evaluation: Overfitting Underfitting
Understanding Different Evaluation Models
K-Means Clustering plus Advantages Disadvantages
Hierarchical Clustering plus Advantages Disadvantages
Measuring the Distances Between Clusters - Single Linkage Clustering
Measuring the Distances Between Clusters - Algorithms for Hierarchy Clustering
Density-Based Clustering
Dimensionality Reduction: Feature Extraction Selection
Collaborative Filtering Its Challenges
IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA).
This collaboration between IBM and DataTrained provide our student's hands-on experience in predictive analytics and advanced computing.
Expectations for this program co-developed with IBM:
1. Industry-recognized certificate from IBM and DataTrained.
2. IBM Cloud Credits for 6 months equivalent to $1200.
3. IBM Cloud Platforms access like IBM Watson for hands-on practice.
For more information, visit: [...]

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