high paid courses free in lockdown time | learn at home for free

1.Machine learning:  start from april 13

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

SKILLS YOU WILL GAIN

-Logistic Regression

-Artificial Neural Network

-Machine Learning (ML)

-Algorithms Machine Learning

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2.Blockchain Revolution Specialization:

start from april 12

WHAT YOU WILL LEARN

  • Seven design principles for the ‘Blockchain Revolution’

  • Top 10 challenges for implementing blockchain technology

  • Terms such as miner, hash, nonce, consensus mechanism, public key cryptography, cryptoasset, smart contract, DApp, and self-sovereign identity

  • Blockchain use-cases within your industry, and business model decisions to assess feasibility

    About this Specialization

    Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.

    This four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.

    The Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.

    Additionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.

    3.Algorithms, Part I

    About this Course

    This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

    All the features of this course are available for free. It does not offer a certificate upon completion.

    SKILLS YOU WILL GAIN

    Data Structure
    Algorithms
    Java Programming

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