ML and NLP Basics

(0 reviews)

Acquire proficiency in machine learning and deep learning methodologies, such as TensorFlow, CNNs, RNNs, LSTMs, and NLP, to facilitate efficient data analysis.

Key AI Functions:tensorflow,machine learning,rnn,cnn,artificial intelligence,ai & machine learning

Description

Reviews

Alternative Tools

Description for ML and NLP Basics

Fundamentals of Machine Learning: Acquire a comprehensive comprehension of the fundamentals of machine learning, such as classification, regression, and ML techniques.
Methods of Deep Learning: Investigate the principles of deep learning, with a particular emphasis on the application of TensorFlow, digit classification, CNNs, RNNs, and LSTMs in the context of intricate data modeling.
Natural Language Processing (NLP): Learn critical NLP topics, including text mining, preprocessing, sentence structure analysis, and text classification, for practical applications.
Practical Evaluations: Take part in practical assessments to implement the techniques you have acquired and to enhance your comprehension of deep learning and machine learning models.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Edureka

Duration: 3 weeks at 6 hours a week

Schedule: Flexible

Reviews for ML and NLP Basics

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

AI A-Z 2025: Build 7 AI + LLM & ChatGPT

Predictive Modelling with Azure Machine Learning Studio

Software Development: Python Code Generation

ML Pipelines with Azure ML Studio

Machine Learning - An Introduction

Alternative Tools for ML and NLP Basics

Akkio

Paid

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Software Developers

Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.

#Software Engineering #Artificial Intelligence(AI)

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

AI Engineering

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

#Vector databases #RAG

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

IBM AI Product Manager

Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.

#Artificial Intelligence #Product Management