Best Machine Learning Course With Certification 2021

 

Best Machine Learning Course With Certification in Coursera

Introduction to Applied Machine Learning

About The Course:

This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.

What you will learn from this cours

  • Introduction to Machine Learning Applications

  • Machine Learning in the Real World

  • Learning Data

  • Machine Learning Projects

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AI Workflow: Machine Learning, Visual Recognition and NLP

About The Course:

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.

SKILLS YOU WILL GAIN

  • Data Science

  • Information Engineering

  • Artificial Intelligence (AI)

  • Machine Learning

  • Python Programming

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Data Engineering, Big Data, and Machine Learning on GCP Specialization

About The Course:

Data Engineering on Google Cloud Platform. Launch your career in Data Engineering. Deliver business value with big data and machine learning.

WHAT YOU WILL LEARN

  • Processing big data at scale for analytics and machine learning

  • Fundamentals of building new machine learning models

  • Creating streaming data pipelines and dashboards

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Mathematics for Machine Learning: Linear Algebra

About The Course:

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets – like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

SKILLS YOU WILL GAIN

  • Eigenvalues And Eigenvectors

  • Basis (Linear Algebra)

  • Transformation Matrix

  • Linear Algebra

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Data Engineering, Big Data, and Machine Learning on GCP Specialization

About The Course:

Data Engineering on Google Cloud Platform. Launch your career in Data Engineering. Deliver business value with big data and machine learning.

WHAT YOU WILL LEARN

  • Processing big data at scale for analytics and machine learning

  • Fundamentals of building new machine learning models

  • Creating streaming data pipelines and dashboards

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Deploying Machine Learning Models

About The Course:

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.

SKILLS YOU WILL GAIN

  • Python Programming

  • Big Data Products

  • Recommender Systems

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Machine Learning Using SAS Viya

About The Course:

This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems.

What you will learn from this course

  • Course Overview

  • Getting Started with Machine Learning using SAS® Viya®

  • Data Preparation and Algorithm Selection

  • Decision Trees and Ensembles of Trees

  • Neural Networks

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Machine Learning Foundations: A Case Study Approach

About The Course:

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?

SKILLS YOU WILL GAIN

  • Python Programming

  • Machine Learning Concepts

  • Machine Learning

  • Deep Learning

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Machine Learning for Business Professionals

About The Course:

This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that’s not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.

What you will learn from this course

  • Introduction

  • What is Machine Learning?

  • Employing ML

  • Discovering ML Use Cases

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AI and Machine Learning MasterTrack™ Certificate

About The Course:

Gain in-demand skills in artificial intelligence and machine learning by studying statistical machine learning, deep learning, supervised and unsupervised learning, knowledge representation and reasoning from the #1-ranked school for innovation in the U.S.

WHAT YOU WILL LEARN

  • The mathematics (Statistics, Probability, Calculus, Linear Algebra and optimization) needed for designing machine learning algorithms

  • Common learning paradigms and how to implement foundational algorithms in statistical machine learning

  • The principles, processes, and core concepts involved in designing autonomous agents

  • How to design, train, and optimize deep neural networks

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