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"machine learning" courses, certification and training

  1. Mathematical Foundation For Machine Learning and AI

    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 Take this Course

    Machine Learning,

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  2. Clustering & Classification With Machine Learning in Python

    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 Take this Course

    Data Science, Machine Learning, , Software Tools

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  3. Full stack machine learning and artificial intelligence

    This program offers comprehensive learning in applying Machine Learning, Deep Learning and Artificial Intelligence techniques to both structured and unstructured data including text, images, audio and video data. The course provides a substantial intuition of the mathematics behind each of these algorithms, as well as business applications in AI using real life case studies.

  4. PG Certificate Program in Data Science & Machine Learning

    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

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  5. PG Certification in Machine Learning and Deep Learning

    Complete all courses successfully and receive a Post-Graduate certificate. Become part of the upGrad community with the PG alumni status from IIIT Bangalore. Become an ML Engineer by learning how to recognise gestures, analyse X-ray images, predict customer churn across telecom providers, and lots more

    240 HoursOnline self studyIntermediate
    Enquire Now

    Telecom, Machine Learning, Data Analysis

  6. Unity Machine Learning with Python!

    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 Take this Course

    Machine Learning,

    Course Selling Partner
  7. Learn Machine Learning By Building Projects

    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 Take this Course

    Machine Learning,

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  8. Intro to Machine Learning

    Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects. | This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.

    Online self studyBeginner
    Enquire Now

    Machine Learning

  9. DATA SCIENCE WITH R, PYTHON & MACHINE LEARNING

    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.

    Brochure Course Provider
  10. Core ML: Machine Learning for iOS

    In this short course, we'll show you how to incorporate Apple's Core ML framework into your app. You'll also get a quick overview of machine learning fundamentals, and exposure to real-world examples of companies using machine learning technology in their iOS apps.

    Online self studyIntermediate
    Enquire Now

    Machine Learning

  11. Machine Learning PG Certification Program

    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.

    Brochure Course Provider
  12. Financial Technologies (FinTech) for Leadership in the Digital World

    The financial world is going through an era of digital transformation. The impact of social media, mobility, Big Data and machine learning, Internet of Things, information security and blockchain, and artificial intelligence based robotics is being felt as firms strive to meet the expectations of the new-age millennial customers through digital mastery. Digital change management in the banking and financial services industry and capital markets needs new capabilities in leaders who have the vision to develop novel technological innovation for transforming the world of banking, trading, risk management, customer management and advisory, payments and fraud detection. This program aims to inspire leaders of firms with the required organizational and technological know- how for creating a novel digital vision for the financial organizations with measurable impact.

  13. Hands on Analytics for Young Professionals

    Prospects of analytics in modern data driven business world are on the rise, and survival without appropriate use of analytics is getting increasingly difficult in professional organizations. The principles and theories surrounding statistical and machine learning techniques and a plethora of software tools and techniques overwhelm young professionals without a formal training in the subject about where and how to start. Consequently, interest in analytics often remains restricted to wishful thinking and a hand-waiving bouquet of buzzwords. Young professionals with analytical bend of mind willing to get initiated into this fascinating world of analytics need a suitable exposure where they can explore analytics with its associated principles and hands-on implementation to develop a taste for the subject. This is immensely doable with lucid explanation of fundamental principles of analytics and hands-on experimentations with readily available softwares. Such an exposure will contribute to their analytics readiness leading to career progressions in their own or other organizations by thriving on the analytics dimension of problem solving skills.

    ClassroomIntermediate
    ₹ 100,300 Enquire Now

    Machine Learning, Software Tools

  14. Analytics & Data Science Master Subscription

    It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.

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  15. Analytics & Data Science Master Subscription: 6 months

    It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.

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