-
KDnuggets™ News 21:n47, Dec 15: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science Main Developments in 2021 and Key Trends for 2022
In this issue: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science, Deep Learning Main Developments in 2021 and Key Trends for 2022 - Research, Technology, and Industry perspectives.
-
KDnuggets™ News 21:n45, Dec 1: Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists
Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists; Vote in new KDnuggets Poll: What Percentage of Your Machine Learning Models Have Been Deployed? KDnuggets: Personal History and Nuggets of Experience.
-
Toloka 101 Live Demo: Learn how to get reliable training data for machine learning, Nov 11
Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.
-
The Case for a Global Responsible AI Framework
Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.
-
Top September Stories: Do You Read Excel Files with Python? There is a 1000x Faster Way
Also: Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; Nine Tools I Wish I Mastered Before My PhD in ML; A Data Science Portfolio That Will Land You The Job
-
Transforming your business with SAS® Viya® on Microsoft Azure
Faster, trusted decisions are in the cloud. See how you can use the flexibility, scalability and agility of modern technologies to advance your organization’s goals. Read our blog with 3-part video demo.
-
eBook: A Practical Guide to Using Third-Party Data in the Cloud
Download this eBook to learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.
-
Future Says Series | Discover the Future of AI
This innovative project brings together industry thought leaders from top tech companies such as Google, PwC, King, DNB, Piab, Scania, Telefonica, and more to discuss what the future holds for data and AI. Watch Future Says Series as industry experts discuss real-life examples how they are scaling AI successfully within their organizations.
-
NLP Insights for the Penguin Café Orchestra
We give an example of how to use Expert.ai and Python to investigate favorite music albums.
-
ARTIFICIAL INTELLIGENCE (AI), A TEXTBOOK
This book covers the broader field of AI, carefully balancing coverage between classical AI (logic or deductive reasoning) and modern AI (inductive learning and neural networks).
|
