Jumat, 05 Januari 2018

Data Analytics for Beginners 2017 | Introduction to Data Analytics | Dat...





Hadoop Yarn Tutorial | Hadoop Tutorial For Beginners | Simplilearn





What Is Hadoop | Hadoop Tutorial For Beginners | Hadoop Training | Simpl...





Big Data Spark Tutorial | Big Data Tutorial For Beginners | Simplilearn





Big Data Hive Tutorial | Hive In Hadoop | Hadoop Tutorial | Simplilearn





What Is Hadoop | Hadoop Tutorial For Beginners | Simplilearn





Hive Tutorial For Beginners | Hive in Hadoop





Introduction To Mapreduce | Hadoop Tutorial For Beginners





Hadoop Installation | Hadoop Tutorial For Beginners | Simplilearn





Big Data Tutorial For Beginners | Part - 3 | Big Data Tutorial | HDFS | ...





Big Data Tutorial For Beginners | Part - 2 | Big Data Tutorial | Hadoop ...





Big Data Tutorial For Beginners | Part - 1 | What Is Big Data | Big Data...





Big Data And Hadoop Introduction | What is Big Data And Hadoop





What is Big Data | What Is Hadoop and Big Data | Big Data Tutorial For B...





Selasa, 02 Januari 2018

AI, Machine Learning & Supply Chain // Manuel Davy, CEO of Vekia





How AI, IoT and Blockchain Will Shake Up Procurement and Supply Chains





A Friendly Introduction to Machine Learning





Roadmap: How to Learn Machine Learning in 6 Months





Lecture 20 | Machine Learning (Stanford)





Lecture 19 | Machine Learning (Stanford)





Lecture 18 | Machine Learning (Stanford)





Lecture 17 | Machine Learning (Stanford)





Lecture 16 | Machine Learning (Stanford)





Lecture 15 | Machine Learning (Stanford)





Lecture 14 | Machine Learning (Stanford)





Lecture 13 | Machine Learning (Stanford)





Lecture 12 | Machine Learning (Stanford)





Lecture 11 | Machine Learning (Stanford)





Lecture 10 | Machine Learning (Stanford)





Lecture 9 | Machine Learning (Stanford)





Lecture 8 | Machine Learning (Stanford)





Lecture 7 | Machine Learning (Stanford)





Lecture 6 | Machine Learning (Stanford)





Lecture 5 | Machine Learning (Stanford)





Lecture 4 | Machine Learning (Stanford)





Lecture 3 | Machine Learning (Stanford)





Lecture 2 | Machine Learning (Stanford)





Lecture 1 | Machine Learning (Stanford)





15. Statistical Sins and Wrap Up





14. Classification and Statistical Sins





13. Classification





12. Clustering





11. Introduction to Machine Learning





10. Understanding Experimental Data (cont.)





9. Understanding Experimental Data





8. Sampling and Standard Error





Senin, 01 Januari 2018

7. Confidence Intervals





6. Monte Carlo Simulation





5. Random Walks





4. Stochastic Thinking





3. Graph-theoretic Models





2. Optimization Problems





1. Introduction and Optimization Problems





Designing for Data 101





Harvard i-lab | Data Visualization for Non-Programmers





The Beauty of Data Visualization - David McCandless





Kenneth Cukier: Big data is better data





Nikunj Oza: "Data-driven Anomaly Detection" | Talks at Google





Seth Stephens-Davidowitz: "EVERYBODY LIES: Big Data, New Data, and What ...