Home AI Courses Advanced Data Science with IBM Specialization

Advanced Data Science with IBM Specialization

(0 reviews)

Proficient in the fields of artificial intelligence, machine learning, and data science. Become an IBM-approved Expert in Artificial Intelligence, Machine Learning, and Data Science.

Key AI Functions:Data Science,Internet Of Things (IOT),Deep Learning,Apache Spark

Description

Reviews

Alternative Tools

Description for Advanced Data Science with IBM Specialization

Gain an in-depth understanding of advanced machine learning, deep learning, data exploration, visualization, and parallel data processing.

Learn the mathematical foundations of machine learning and deep learning algorithms, and apply this knowledge to real-world use cases.

Implement scalable end-to-end data integration, machine learning, and deep learning pipelines using frameworks like Apache Spark, TensorFlow, and PyTorch.

Earn a Coursera specialization certificate and an IBM digital badge upon course completion.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On IBM provided by IBM

Duration: 2 months at 10 hours a week

Schedule: Flexible

Reviews for Advanced Data Science with IBM Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Summarizing Text using SQL and LLMs in BigQuery ML

ChatGPT for Beginners: SciFi Writing with Dall-e

Mathematics in ML Specialization

Alternative Tools for Advanced Data Science with IBM Specialization

NovaceneAI

Freemium

NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.

#research #automation

Posit

Paid

Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.

#project management # library

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

Gen AI: Elevate Your Data Science Career

Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.

#Data Science #Data Analysis

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

AI in Efficient Programming: Harnessing the Power of LLMs

Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.

#Ethics Of Artificial Intelligence #Data Science

Python: Data Science, AI & Development

Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.

#Data Science #Data Analysis

Artificial Intelligence (AI) - An Introductory Course

Understand AI, its applications, concepts, ethical concerns, and receive expert career guidance.

#Artificial Intelligence (AI) #Data Science

Neural Networks and Deep Learning

The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.

#Artificial Neural Network #Backpropagation

Machine Learning Intro to Everyone

The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

#Artificial Intelligence (AI) #Reinforcement Learning

Featured Tools

Gen AI Foundations

Gain comprehensive understanding of generative AI principles, apply them to code generation, develop expertise in GANs and autoencoders, and achieve practical proficiency.

#Generative AI #Code Generation

Summarizing Text using SQL and LLMs in BigQuery ML

This course�trains on source code summary and programming language identification with Vertex AI LLM within Google Cloud.

#bigquery #machine learning

Bioinformatics Specialization

Genome sequencing, disease gene discovery, computational Tree of Life construction, bioinformatics' impact on current biology, computational biology software, and an Honors Track for software programming and algorithm implementation are covered in the course.

#Bioinformatics #Suffix Tree

ChatGPT for Beginners: SciFi Writing with Dall-e

The course delves into the development of effective prompts for AI communication, the use of ChatGPT and DALL-E in workflow processes, and the assurance of accurate aesthetic representation.

#Critical Thinking #Creative Writing