AI & Machine Learning Track

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Description

Why choose Simplilearn for your training?

Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.

The AI & Machine Learning Track will to become an expert in a growing domain. During this Learning Track you will follow 5 different trainings to develop your knowledges and skills in the field.
For each training completed, receive a certification and continue your progress to become a Ai & Machine Learning.

Introduction to Artificial Intelligence

Simplilearn's Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervise…

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Frequently asked questions

There are no frequently asked questions yet. Send an Email to info@springest.co.uk

Why choose Simplilearn for your training?

Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.

The AI & Machine Learning Track will to become an expert in a growing domain. During this Learning Track you will follow 5 different trainings to develop your knowledges and skills in the field.
For each training completed, receive a certification and continue your progress to become a Ai & Machine Learning.

Introduction to Artificial Intelligence

Simplilearn's Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning, be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.
Upon completion of this course, you will understand:
* The meaning, purpose, scope, stages, applications and effects of AI
* Fundamental concepts of machine learning and deep learning
* The difference between supervised, semi-supervised and unsupervised learning 
* Machine Learning workflow and how to implement the steps effectively
* The role of performance metrics and how to identify their key methods 

Statistics Essentials for Data Science

Data Science with Python

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
This Python for Data Science training course will enable you to:
* Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
* Install the required Python environment and other auxiliary tools and libraries
* Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
* Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
* Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
* Perform data analysis and manipulation using data structures and tools provided in the Pandas package
* Gain expertise in machine learning using the Scikit-Learn package
* Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
* Use the Scikit-Learn package for natural language processing
* Use the matplotlib library of Python for data visualization
* Extract useful data from websites by performing web scrapping using Python
* Integrate Python with Hadoop, Spark and MapReduce

Machine Learning

Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.
* Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modelling
* Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
* Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
* Implement models such as support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
* Validate machine learning models and decode various accuracy metrics. Improve the final models using another set of optimization algorithms, which include Boosting & Bagging techniques
* Comprehend theoretical concepts and how they relate to the practical aspects of machine learning

Tableau Training

This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of statistics, data mapping, and establishing data connections. The course includes four industry-based projects and two simulation exams to prepare you for the Tableau Desktop 10 Qualified Associate certification.
With Simplilearn’s Tableau certification training on Desktop 10, you will be able to: 
* Grasp the concepts of Tableau Desktop 10, become proficient with Tableau statistics and build interactive dashboards
* Master data sources and datable blending, create data extracts and organize and format data
* Master arithmetic, logical, table and LOD calculations and ad-hoc analytics
* Become an expert on visualization techniques such as heat map, tree map, waterfall, Pareto, Gantt chart and market basket analysis
* Learn to analyze data using Tableau Desktop as well as clustering and forecasting techniques
* Gain command of mapping concepts such as custom geocoding and radial selections
* Master Special Field Types and Tableau Generated Fields and the process of creating and using parameters
* Learn how to build interactive dashboards, story interfaces and how to share your work

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There are no frequently asked questions yet. Send an Email to info@springest.co.uk