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A Complete Tutorial to Learn Data Science with Python from Scratch
Essentials of Machine Learning Algorithms (with Python and R Codes)
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ANALYTICS VIDHYA CONTENT TEAM, JANUARY 18, 2016

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We are probably living in the most defining period of human history. The period when computing moved from large mainframes to PCs to cloud.

The most comprehensive Data Science learning plan for 2017

January 16, 2017

In "Business Analytics"

Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

February 17, 2017

In "Big data"

Year in Review: Best of Analytics Vidhya from 2015

December 28, 2015

In "Business Analytics"

TAGS: DECISION TREE, INFOGRAPHIC, K-MEANS, LINEAR-REGRESSION, LOGISTIC REGRESSION, MACHINE LEARNING, NAIVE BAYES, PYTHON, R, RANDOM FOREST, REINFORCEMENT LEARNING, SUPERVISED LEARNING, UNSUPERVISED LEARNING

The most comprehensive Data Science learning plan for 2017

January 16, 2017

In "Business Analytics"

Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

February 17, 2017

In "Big data"

Year in Review: Best of Analytics Vidhya from 2015

December 28, 2015

In "Business Analytics"

The most comprehensive Data Science learning plan for 2017

January 16, 2017

In "Business Analytics"

Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

February 17, 2017

In "Big data"

Year in Review: Best of Analytics Vidhya from 2015

December 28, 2015

In "Business Analytics"

Cobots Will Give Way to Just Robots

A current trend in robotics known as cobots, where humans and robots work together, is likely to fade into history as ML, AI, and sensor and motion capture camera technology gets better and faster. The ultimate goal is use machine learning to develop cognitive computing systems that will integrate AI and machine learning to perform increasingly humanlike tasks including thinking, planning, and decision-making.

Analytics Community | Analytics Discussions | Big Data Discussion

Here at Analytics Vidhya, beginners or professionals feel free to ask any questions on business analytics, data science, big data, data visualizations tools & techniques.

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Pranav Dar

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