Krish Naik Academy

Éducation

Uniquement pour iPhone

Gratuit · Achats intégrés · Conçue pour iPhone. Non validée pour macOS.

iPhone

Krish Naik Academy is an educational platform founded by Krish Naik, a renowned data scientist, AI enthusiast, and educator. The academy is dedicated to providing high-quality training and resources in the fields of data science, machine learning, artificial intelligence (AI), and related technologies. Here's an overview of Krish Naik Academy and its work: About Krish Naik Krish Naik is a prominent figure in the data science community, known for his expertise in machine learning, deep learning, and AI. With a strong background in these fields, he has garnered a significant following through his YouTube channel, blog, and online courses, helping thousands of learners worldwide enhance their skills and advance their careers. Mission and Vision The primary mission of Krish Naik Academy is to make data science and AI education accessible, practical, and up-to-date with industry standards. The academy aims to bridge the gap between theoretical knowledge and real-world applications, empowering learners to apply their skills effectively in various professional settings. Courses and Curriculum Krish Naik Academy offers a wide range of courses tailored to different skill levels, from beginners to advanced practitioners. Some of the key areas covered include: Data Science Fundamentals: Introduction to data analysis, statistics, and visualization techniques. Machine Learning: Supervised and unsupervised learning, model evaluation, and deployment. Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and applications in computer vision and natural language processing. Artificial Intelligence: Comprehensive coverage of AI concepts, including reinforcement learning and AI ethics. Big Data Technologies: Working with big data tools like Hadoop, Spark, and data engineering principles. Specialized Topics: Time series analysis, recommendation systems, NLP (Natural Language Processing), and more. Teaching Methodology Krish Naik Academy emphasizes a hands-on, project-based learning approach. Courses typically include: Video Lectures: Comprehensive and easy-to-follow video tutorials that explain complex concepts in an understandable manner. Practical Assignments: Real-world projects and assignments that allow learners to apply their knowledge and build a portfolio. Interactive Sessions: Live Q&A sessions, webinars, and community forums where students can interact with instructors and peers. Resources: Access to datasets, code repositories, and supplementary materials to enhance the learning experience. Community and Support A key aspect of Krish Naik Academy is its vibrant community. Learners can engage with each other through discussion forums, study groups, and collaborative projects. Additionally, the academy provides support through mentorship, career guidance, and networking opportunities to help students achieve their professional goals. Impact and Reach Krish Naik Academy has made significant strides in democratizing data science education. With thousands of enrolled students from around the globe, the academy has helped individuals transition into data-centric roles, advance their careers, and contribute to various industries through data-driven decision-making.

Notes et avis

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Bug fixes and improvements

Version 8.0.0

Le développeur TagMango Inc a indiqué que les pratiques de l’app en matière de confidentialité peuvent inclure le traitement des données tel que décrit ci‑dessous. Pour en savoir plus, consultez la politique de confidentialité du développeur .

  • Données non collectées

    Le développeur ne collecte aucune donnée avec cette app.

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    Accessibilité

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    Informations

    Fournisseur
    • TagMango Inc
    Taille
    • 56,3 Mo
    Catégorie
    • Éducation
    Compatibilité
    Nécessite iOS 15.1 ou version ultérieure.
    • iPhone
      Nécessite iOS 15.1 ou version ultérieure.
    • iPod touch
      Nécessite iOS 15.1 ou version ultérieure.
    • Mac
      Nécessite macOS 12.0 ou une version ultérieure et un Mac doté d’une puce Apple M1 ou une version ultérieure.
    • Apple Vision
      Nécessite visionOS 1.0 ou version ultérieure.
    Langues
    • Anglais
    Âge
    16+
    Achats intégrés
    Oui
    Copyright
    • ©2021 TagMango, Inc.
  • Confidentialité

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