|Course or Certification Name||Category||Location||Mode of learning|
|Machine Learning Advance certification Training||Machine Learning||Online Classroom|
|Post Graduate Program in Data Science and Machine Learning||Data Science||Classroom|
|Big Data and Machine Learning Prodegree||Big Data||Online Classroom|
|Applied Machine Learning With R||Machine Learning||24/7 Anywhere||Online self study|
|Machine Learning In The Cloud With Azure Machine Learning||Machine Learning||24/7 Anywhere||Online self study|
|Machine Learning With TensorFlow The Practical Guide||Machine Learning||24/7 Anywhere||Online self study|
|Advanced Machine Learning with Deep Learning||Machine Learning||Online Classroom|
|Machine Learning with Python Training||Machine Learning||Online Classroom|
|Mathematical Foundation For Machine Learning and AI||Machine Learning||24/7 Anywhere||Online self study|
|Clustering & Classification With Machine Learning in Python||Machine Learning||24/7 Anywhere||Online self study|
|PG Certificate Program in Data Science & Machine Learning||Data Science||Online Classroom|
|Unity Machine Learning with Python!||Machine Learning||24/7 Anywhere||Online self study|
|Learn Machine Learning By Building Projects||Machine Learning||24/7 Anywhere||Online self study|
|DATA SCIENCE WITH R, PYTHON & MACHINE LEARNING||Data Science||Classroom|
|Machine Learning PG Certification Program||Machine Learning||Classroom|
This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation.The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today.
The University of Chicago Graham School and Jigsaw Academy, India’s top online school for analytics, together provide students with the superior training necessary to draw insights from real data and to apply analytical skills to solve real problems with the launch of the Integrated Program in Data Science and Machine Learning (IDM). IDM is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. | This program is a blend of in-person and online classes that will include hands-on learning in the Jigsaw Lab and projects & seminars by industry leaders. All the in-person sessions will be held in Bangalore, India. The content and curriculum for the course have been jointly designed by lecturers from UChicago and industry experts from Jigsaw Academy.
The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.
Applied Machine Learning with R is a hands-on course Machine Learning and Artificial Intelligence course. This course covers the core concepts of machine learning, along with machine learning algorithms. You will also learn how to implement those machine learning algorithms with R and after completion of the course, you will be able to use them in your own projects.
In this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset.This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems
This course gives an insight into the basics of Tensorflow covering topics like tensors, operators and variables. It is a good option to master machine learning, its types and various main algorithms including linear regression. Furthermore, this course also covers advanced machine learning like a neural network, convolution neural network and others. Here, you’ll also gain the practice by implementing it in a project on Deep Neural Network. | Machine Learning With TensorFlow is a professional programme. It provides a complete insight of Tensorflow, tensors, operators and variables. Machine Learning With TensorFlow also includes other topics like – Getting started with Tensorflow, Tensorflow Basics, Machine Learning Basics, Main Algorithms including linear regression, Advanced Machine Learning
Machines have been driving our existence since the first industrial revolution to the current industry 4.0. It is, thus, imperative to be a part of this revolution by acquainting yourself with the formidable technology platforms like Machine Learning, AI, & Deep Learning | In this age of innovation and disruption, the technology landscape changes rapidly. One has to be on their toes all the time to remain updated and upgraded. In such a scenario, a course that incorporates the concepts of Advanced Machine Learning with Deep Learning in one package can be the best bet to learn and train yourself | Cognixia offers a comprehensive training package based on a case-study approach where participants are exposed to the pragmatic aspects of learning Advanced Machine Learning, AI, & Deep Learning
Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.
Learn Machine Learning By Building Projects is a comprehensive programme. This programme helps you to understand the complex concepts of machine learning through mathematics and algorithms. This course will give you a deeper knowledge of mathematics that will help you to build algorithms and networks for your upcoming machine learning and artificial intelligence (AI) projects. The course is divided into three sections, including – | Linear Algebra: This helps to describe the parameters and structure of different machine learning algorithms. Linear Algebra also gives an insight of how neural networks should be put together and operate. | Multivariate Calculus: This helps in learning the subject in an easier manner with the help of examples and parameters of different models for better performance. | Probability Theory: This topic covers key probability distributions, useful in designing deep learning or AI algorithms. | The course also includes some projects and quizzes, which help to understand the mathematical concepts better. The mode of learning is online self-study.
This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
PGP in Data Science & Machine Learning Certificate from Manipal Academy of Higher Education | 104+ hours of live webinar by industry expert | Tools covered: Excel, R, Python, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark and other open source
In this course we will train an artificial brain to make the game work. No matter where the present falls, the computer will know exactly how get it.
The course focuses on breaking down the important concepts, algorithms, and functions of Machine Learning. The course starts at the very beginning with the building blocks of Machine Learning and then progresses onto more complicated concepts. Each project adds to the complexity of the concepts covered in the project before it.
Machine learning is one of the key components of datascience. R and Python are one of the most used programming languages and command a huge demand in the data science job market. This module gives you exposure to both R and Python that prepares you for delivering in either of the platforms.
MACHINE LEARNING (ML) is the construction of algorithms that one can learn from and respond to large data sets faster and make effective predictions. It instructs computers to find patterns in data without being explicitly programmed. As data grows in volume and becomes more complex, the applications of ML are becoming widespread. Key applications of ML include: Trading Patterns & Efficiencies in Global Financial Markets, Fraud Prediction & Detection for Banks, Recommender & Predictor Systems for Retail & E-Commerce, Transportation Management & Traffic Shaping for Smart Cities and Predictive Techniques for Autonomous Vehicles. This course is number 1 in-demand skill globally among programmers. Machine Learning specialists usually get a substantial hike in earnings depending on their experience and capabilities.