Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!
 
Comprehensive training of Machine Learning Algorithms for Trading, Risk Management, Investment Management, Credit Scoring
 
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
 
Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience
 
Harness the power of Hadoop with PySpark mLib
 
Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain
 
Gain expertise to pre-process, prepare, clean up, extract and engineer new features from the raw and time-series data
 
This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.
 
Build Scalable Data Systems: From Ingestion to Insight
 
Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.
 
Encode empirical and institutional knowledge into PML models to sustain your organization's competitive advantages
 
Expose yourself to Advanced Python Techniques and Methods Required as a Data Scientist
 
SAS Predictive Analytics and Machine Learning
 
Learn the Methods and Techniques to Extract Information from Data, and generate useful Predictions, with Weka / Python / R
 
Master Core ML, the machine learning framework used across Apple products (macOS, iOS, watchOS, and tvOS) for performing fast prediction
 
Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning
 
So, you want to go 10X faster at ML in Production ?
 
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
 
New to deep learning? Start with this course, giving you the opportunity to build your first deep learning model using the popular Keras library.
 
Think like a Computer Scientist !!
 
Learn the Deep Learning library for Scientific Computing
 
Neural Networks: Machine Learning Inspired by the Brain
 
Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning
Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience
Gain expertise to pre-process, prepare, clean up, extract and engineer new features from the raw and time-series data
Comprehensive training of Machine Learning Algorithms for Trading, Risk Management, Investment Management, Credit Scoring
Harness the power of Hadoop with PySpark mLib
Expose yourself to Advanced Python Techniques and Methods Required as a Data Scientist
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
New to deep learning? Start with this course, giving you the opportunity to build your first deep learning model using the popular Keras library.
SAS Predictive Analytics and Machine Learning
So, you want to go 10X faster at ML in Production ?
This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.
Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.
Learn the Deep Learning library for Scientific Computing
Neural Networks: Machine Learning Inspired by the Brain
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
Build Scalable Data Systems: From Ingestion to Insight
Learn the Methods and Techniques to Extract Information from Data, and generate useful Predictions, with Weka / Python / R
Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain
Master Core ML, the machine learning framework used across Apple products (macOS, iOS, watchOS, and tvOS) for performing fast prediction
Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!
Think like a Computer Scientist !!
Encode empirical and institutional knowledge into PML models to sustain your organization's competitive advantages