AI News, Data Science vs AI: Get to the Fundamentals

Data Science vs AI: Get to the Fundamentals

I have seen institutions would have team using machine learning to build classifiers but they call the same as AI team, Business Analysts would run some diagnostic analysis using Tableau but are called Data Scientists, sometimes we write conventional code or may be use RPA tool such as blue prism in automating certain portion of business process (e.g.

College graduates, job seekers (fresh or lateral), business executives and technologists must make good effort to understand the concept behind various data management subject area (AI, ML, DS, Deep Learning, Cognitive Computing, Statistics, BI, DWH etc.), associated roles (such as data engineers, business analysts, data scientists, ML engineer, Data Modelers, data administrators etc.) and subsequently plan to learn and apply else Industries might lose revenue, CoE &

Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving ...

Data Science: Reality vs Expectations ($100k+ Starting Salary 2018)

Skillshare might not like this. You can sign up for a 2 month trial for Skillshare, complete the data science course and then cancel your membership before being ...

What is machine learning and how to learn it ?

Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data ..

DATA & ANALYTICS - Build smart applications with your new superpower: cloud machine learning

Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco. Visual effects rendering is a computationally intensive process where one second of ...

#219: McKinsey & Company (McKinsey Global Institute) on Artificial Intelligence and Machine Learning

Data and automation have the power to transform business and society. The impact of data on our lives will be profound as industry and the government use ...

Industry Applications of Text Analytics

An overview of why text analytics is useful, and how it can help areas such as surveys, chat bots, social media monitoring, voice of customer, call-logs, and more.

9 Cool Deep Learning Applications | Two Minute Papers #35

Machine learning provides us an incredible set of tools. If you have a difficult problem at hand, you don't need to hand craft an algorithm for it. It finds out by itself ...

Interpretable machine learning (part 1): Peeking into the black box

Interpreting machine learning models is one of the new hot areas in data science. As calls for greater transparency in algorithms become stronger, researchers ...

Customer Successes with Machine Learning (Google Cloud Next '17)

TensorFlow is rapidly democratizing machine intelligence. Combined with the Google Cloud Machine Learning platform, TensorFlow now allows any developer ...

1. Introduction and Scope

MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: Instructor: Patrick Winston In this lecture, Prof. Winston ..