Learner Reviews & Feedback for Machine Learning and NLP Basics by Edureka
3.5
stars
24 ratings
About the Course
Welcome to the "Machine Learning and NLP Basics" course, a comprehensive learning resource designed for enthusiasts keen on mastering the foundational aspects of machine learning (ML) and natural language processing (NLP). This course is structured to provide a deep dive into the core concepts, algorithms, and applications of ML and NLP, preparing you for advanced exploration and application in these fields.
Throughout this course, participants will gain a solid understanding of machine learning fundamentals, dive into various ML types, explore classification and regression techniques, and wrap up with practical assessments. Additionally, the course offers an in-depth look at deep learning concepts, TensorFlow usage, digit classification with neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. We'll also cover essential NLP topics, including text mining, text preprocessing, analyzing sentence structure, and text classification.
By the end of this course, you will be able to:
-Understand and apply core concepts of machine learning and NLP.
-Differentiate between various types of machine learning and when to use them.
-Implement classification, regression, and optimization techniques in ML.
-Utilize deep learning models for complex problem-solving.
-Navigate TensorFlow for building and training models.
-Explore CNNs and RNNs for image and sequence data processing.
-Explore NLP techniques for text analysis and classification.
This course caters to a wide audience, including students, budding data scientists, software engineers, and anyone with an interest in machine learning and natural language processing. Whether you're starting your journey in ML and NLP or looking to solidify your foundational knowledge, this course offers valuable insights and practical skills.
Learners are expected to have a basic understanding of programming concepts. Familiarity with Python and fundamental artificial intelligence concepts will be beneficial but is not mandatory.
The course is divided into four modules, each focusing on different aspects of machine learning, deep learning, and natural language processing. Each lesson includes video lectures, readings, practical assignments, and discussion prompts to foster interactive learning and application of concepts.
Embark on this educational journey to explore the fascinating world of machine learning and natural language processing. This course is designed to equip you with the knowledge and skills necessary to navigate the evolving landscape of AI and data science, setting a strong foundation for further exploration and innovation....
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1 - 8 of 8 Reviews for Machine Learning and NLP Basics
By HRYHORIY M
•
May 22, 2025
Thank you for the great educational material. It is really useful for a deep understanding of the theory and practice of artificial intelligence.
By Nikolaos G
•
Dec 20, 2024
Excellent education, updated knowledge, new tools
By WANNASA S
•
Mar 15, 2025
very good for lean
By Venu S S
•
Oct 8, 2024
felt like dictation - Reading out from a book
By Maria V
•
Dec 17, 2024
There are many typos/unfinished texts in the presentation and some logical mistakes. Also, the background voice is just horrible and much of my energy goes into trying to understand what is said, as the pronunciation is awful and also soooo incorrect. Could be done so much better :(
By Arley S R S
•
Sep 23, 2024
It has no practices, some classes only show one slide during the entire video, the math part is very poor.
By Michel M F
•
May 26, 2024
Course with basic content. It is not worth the time.
