Learn Machine Learning algorithms, softwares, deep learning

Course covering Deep learning, Neural Networks, KDD, AI, BI, ANN, Decision tree, Bayesian networks, TensorFlow n Knime
3.69 (584 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Learn Machine Learning algorithms, softwares, deep learning
27 947
students
1 hour
content
Nov 2018
last update
FREE
regular price

Why take this course?

🎓 Unlock the Secrets of Machine Learning with "Machine Learning Mastery: From AI to Deep Learning Algorithms" 🚀

Course Overview: Embark on a comprehensive journey into the realm of machine learning, artificial intelligence (AI), business intelligence (BI), and advanced topics like deep learning, neural networks, and more. This course is meticulously designed for learners who aspire to master the algorithms that are reshaping industries and transforming data into actionable insights. With a focus on hands-on experience using tools like TensorFlow and Knime, you'll gain invaluable expertise and practical skills.

What You'll Learn:

  • Machine Learning Fundamentals: Gain an intuitive grasp of what machine learning is all about and understand its core concepts. 🧠

  • Mastering Algorithms: Explore the spectrum of machine learning algorithms, including decision trees, Bayesian networks, Artificial Neural Networks (ANN), and the inner workings of Deep Learning. You'll learn to implement these algorithms in real-world scenarios. 🤖

  • Software Proficiency: Become proficient with leading machine learning software platforms. Get hands-on experience with TensorFlow, a powerful open-source framework, and Knime, an innovative tool for data science and analytics. 💻

  • Cloud Integration: Dive deep into how machine learning can be leveraged within the cloud using AWS (Amazon Web Services). Learn about Amazon SageMaker and other ML topics to build scalable machine learning models. ☁️

Course Curriculum Highlights:

  • Lecture 1: Machine Learning Introduction - Understand the basics and the transformative power of machine learning.
  • Lecture 2: Machine Learning Algorithms - Discover various algorithms and their applications.
  • Lecture 3: Machine Learning Softwares - Get familiar with TensorFlow, Knime, and more.
  • Lecture 4: AWS and Machine Learning - Learn about cloud computing's role in machine learning.
  • Lecture 5: TensorFlow - Dive into TensorFlow to explore its capabilities and practical uses.

Why Enroll?

  • Expert Instruction: Taught by Kaushik Vadaliani, a seasoned course instructor with extensive experience in data science and machine learning.
  • Real-World Application: This course is designed not just to teach theoretical concepts but also to apply them through practical exercises.
  • Flexible Learning: Learn at your own pace, from the comfort of your home or on the go, with 24/7 access to course materials.

Who Is It For?

  • Aspiring data scientists and machine learning engineers looking to enhance their skill set.
  • Individuals interested in AI, BI, and how they can be applied to real-world problems.
  • Developers aiming to add machine learning capabilities to their software development toolkit.

🚀 Join us today and be part of the future where data science meets innovative solutions! 🌟

Enroll now and take your first step towards becoming a machine learning expert with our comprehensive and practical course. Let's turn the vast amounts of data into meaningful insights and drive innovation together!

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2017936
udemy ID
10/11/2018
course created date
10/07/2019
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