Data Storytelling With Intuitive Visualization: May 15 & 16, 2024
2-Half Days (9:00 a.m to 12:00 p.m PST) | ENDING IN :
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ChatGPT Basics: Practical Applications
ChatGPT has disrupted just about every task that requires the generation of text. It is influencing tasks from research and brainstorming to email composition and creative writing.
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Creative Applications for Artificial Intelligence
In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.
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AI Toolkit Scikit-learn, Tensor Flow and Keras
TensorFlow has become the standard for building machine learning and AI models.
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Deep Learning & Artificial Intelligence with Apache Spark
This course teaches doing Deep Learning and Artificial Intelligence at Scale with the popular Apache Spark framework.
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Probability & Statistics
Probability and statistics are the backbone for Data Science. The job of a data scientist is to glean knowledge from complex and noisy datasets.
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Advanced Data Handling
As it is said, garbage in leads to garbage out. This applies to not only data cleansing but overall, how we handle data using governance, best practices and tools to implement it.i]9
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Advance Data Visualization
Duration: 1 Day Code: BDT248Category:
All Courses,Artificial Intelligence & Data Science,Data Analyst Learning Journey,This course is designed to help understand best practices for data visualization with no prior experience. You will view examples from real world research cases and business cases.
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Data Science for Leader
Data Driven organizations has completive advantage but building an effective Data Science Organization can seem complex and challenging.
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Kickstart PyTorch in a Day
TensorFlow has become integral part of Machine and Deep Learning techniques.
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Byte-Sized ML Series: Data Exploration and Analysis
Duration: 90 Minutes Code: BDT175Category:
All Courses,Artificial Intelligence & Data Science,Byte-Sized ML Basic Series Learning Path,This brief session will provide exposure to both data exploration and data analysis and their contributions to effective machine learning.