Machine Learning Courses, Certification & Training in Delhi
- Courses (17)
Why should you do?
Who should do?
What is Machine Learning?
Machine Learning is a field of computer science, which uses statistical methods to inculcate a learning ability in computers with the help of data, without explicit programming. It has become a prominent area in data analytics where machines can provide accurate data predictions using historical data.
A certification course in machine learning helps you learn advanced skills to boost your career further in data analytics. Software Developers and Data Analysts can get skilled in machine learning to move to a more data critical position like a Data Scientist or a Machine Learning Engineer.
Naukri Learning offers a plethora of online certification courses in machine learning. You can enrol in other certification courses like data science, Qlikview, Tableau, business analytics and financial modelling for better job opportunities.
What are the benefits of Machine Learning?
• It is useful in the analysis of real-time data which can help organisations to optimise their processes for better performance.
• Automation of data entry and cleansing can be done through machine learning to save on time and resources, otherwise wasted on those activities.
• It is easier to make accurate customer behavioural predictions through machine learning.
• It can be used to perform complex computational problems on large sets of data within a reasonable amount of time.
Why Machine Learning is Important?
Machine learning has huge potential across industries and is one of the biggest emerging technologies in the data analysis field. Some of the other reasons to take up a certification in machine learning are:
• It is an in-demand skill and organisations are looking for candidates who are proficient in machine learning.
• Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
• You can earn above average salary in data analytics industry. Companies offer best-in-the-industry salary to professionals who have knowledge of machine learning.
What are the key skills associated with Machine Learning?
• Knowledge of statistical and probability models, theories and metrics.
• Firm understanding of applied mathematics and major algorithms.
• Basic knowledge of distributed computing like Apache Hadoop and cloud services like AWS.
• Experience in any programming language like R, Python, Java or Scala.
Who should Learn Machine Learning?
• Engineering/MBA/Science Graduates
• Data Analysts
• Software Engineers/Software Developers
Machine Learning Career Path
With a certification in machine learning, one can expect a career in one of the four areas outlined below:
• Data Scientist
• Data Architecture
• Machine Learning Engineer
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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.Online ClassroomIntermediate$ 407 Enquire NowCourse Selling Partner
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.Course Selling Partner
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.Online self studyIntermediate$ 90 Enquire NowCourse Selling Partner
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.Online self studyIntermediate$ 49 Enquire NowCourse Selling Partner
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 problemsOnline self studyIntermediate$ 49 Enquire NowCourse Selling Partner
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.Online self studyIntermediate$ 49 Enquire NowCourse Selling Partner
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 LearningOnline self studyIntermediate$ 49 Enquire NowCourse Selling Partner
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.Online self studyIntermediate$ 49 Enquire NowCourse Selling Partner
The Deep Learning Masterclass: Classify Images with Keras is an interactive course that is designed to help a beginner turn into a data modeler. The course starts with basic concepts of Keras and goes to the advanced concepts of machine learning and neural networks. The participants will also get to build their image classifier model from scratch.Online self studyIntermediate$ 39 Enquire NowCourse Selling Partner
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.Online self studyIntermediate$ 39 Enquire NowCourse Selling Partner
This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems.Online self studyIntermediate$ 29 Enquire NowCourse Selling Partner
Artificial Intelligence (AI) represents a major step forward in how computer systems adapt, evolve and learn. It has widespread applications in almost every industry and is widely considered to be the next big technological shift, similar in scale to past shifts such as the industrial revolution, the computer age, and the smartphone revolution | Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters® Program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Masters degree in Computer Science at ColumbiaCourse Provider
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 (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.ClassroomIntermediateEnquire Now
The future of business industry is visualized as a combination of refined machines and adaptive software. This has hailed concepts like Artificial Intelligence (AI) and Machine Learning (ML) to consent a business attain rapid success. Business Leaders need to understand the impact they create and the value the users associate with it. Understanding the concepts, principles and the usage to manage future business thus becomes critical. | This executive course in Artificial Intelligence & Machine Learning is immaculate for those who are seeking to understand this domain, its concepts, algorithms and application and aspire to explore how structured knowledge in this area can contribute productively to business objectives.Online self studyIntermediateEnquire NowCourse Provider
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