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Data Science & Machine Learning Master's program online training you will master..
What you will learn
- Perform scientific & technical computing using SciPy package & its sub-packages such as Integrate, Optimize, Statistics,...
- In-depth understanding of supervised & unsupervised learning models like linear & logistic regression, clustering, dimen...
- Learn how to implement the unsupervised learning algorithms, including deep learning, clustering, & recommendation syste...
- Develop an understanding classification data and models
- Gain important experiences into signs, pictures, and sounds with SciPy, scikit-picture, and OpenCV
- Analyze information with Bayesian or frequentist insights (Pandas, PyMC, & R), & gain from genuine information through A...
Machine Learning with R online training course covers a detailed overview of va..
What you will learn
- Develop an understanding of categorical variables and continuous variables, that helps in using the boosting and bagging...
- Understand kernel functions such as: spline kernels, linear, radial basis function and polynomial and Text Mining with R...
- Explore R language fundamentals, including basic syntax, variables, and types
- Why Support Vector Machines is called the most high-performing algorithm
- How neural networks effective in image segmentation. How to use the calculus in simpler form
Our Machine learning Master's Program online training course includes training..
What you will learn
- Understand how to make an accurate predictions
- Learn how to deal with the advanced techniques like Dimensionality Reduction
- Develop an understanding on the issues of specific topics like Reinforcement Learning, NLP and Deep Learning & how to ha...
- Develop understanding of many of the Machine Learning models
- Develop understanding on all the essentials such as: Data Preprocessing, Regression, Classification, Clustering, Associa...
- Determine the various applications of machine learning algorithms
- Learn the how to implement the unsupervised learning algorithms, which includes deep learning, clustering, and recommen...
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This AWS Certified Machine Learning training course is specifically designed to..
What you will learn
- Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
- Feature engineering techniques, including imputation, outliers, binning, and normalization
- High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
- Data engineering with S3, Glue, Kinesis, and DynamoDB
- Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
- Deep learning and hyperparameter tuning of deep neural networks
- Automatic model tuning and operations with SageMaker
- Applying security best practices to machine learning pipeline
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