Data Analytics and Machine Learning Fundamentals

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00001 Data Analytics and Machine Learning Fundamentals LiveLessons Video Training - Introduction.mp4

07:13

00002 Module 1 - introduction.mp4

00:58

00003 Learning objectives.mp4

01:09

00004 1.1 Understanding Big Data Analytics and Why You Should Care.mp4

17:32

00005 Learning objectives.mp4

01:15

00006 2.1 Understanding What Machine Learning and Artificial Intelligence Are.mp4

07:03

00007 2.2 Understanding the Machine Learning Landscape.mp4

14:00

00008 2.3 Understanding Machine Learning and the Big Data Ecosystem.mp4

04:15

00009 Module 2 - introduction.mp4

00:57

00010 Learning objectives.mp4

01:08

00011 3.1 Understanding the Fundamentals of Big Data Analytics Systems.mp4

13:35

00012 3.2 Connecting to Data with Brokers and Data Messaging.mp4

14:47

00013 3.3 Comparing Batch and Real-Time Streaming Analytics Systems.mp4

08:50

00014 Learning objectives.mp4

01:12

00015 4.1 Comparing Big Data Architectures.mp4

02:54

00016 4.2 Understanding the Basics of Hadoop.mp4

14:57

00017 4.3 Exploring YARN.mp4

10:11

00018 Module 3 - introduction.mp4

01:48

00019 Learning objectives.mp4

02:11

00020 5.1 Understanding Supervised Learning.mp4

06:34

00021 5.2 Examining Linear Regression.mp4

24:48

00022 5.3 Fitting the Data.mp4

10:58

00023 5.4 Exploring Reinforcement Learning.mp4

15:47

00024 Learning objectives.mp4

01:43

00025 6.1 Understanding Classification Fundamentals.mp4

28:48

00026 6.2 Understanding Support Vector Machines SVM.mp4

12:13

00027 6.3 Exploring Random Forests.mp4

18:43

00028 6.4 Classification Demo.mp4

16:27

00029 Learning objectives.mp4

01:28

00030 7.1 Understanding Unsupervised Learning Fundamentals.mp4

17:17

00031 7.2 Examining Other Clustering Algorithms.mp4

13:26

00032 7.3 Clustering Demo.mp4

12:57

00033 Module 4 - introduction.mp4

01:20

00034 Learning objectives.mp4

01:47

00035 8.1 Understanding Artificial Neural Network ANN Fundamentals.mp4

08:44

00036 8.2 Diving Deeper into Deep Learning.mp4

23:46

00037 8.3 Applying Deep Learning - Image Analytics Convolutional Neural Network.mp4

23:50

00038 8.4 Exploring an Example Use Case of Deep Learning in Edge Computing.mp4

15:32

00039 Learning objectives.mp4

01:16

00040 9.1 Examining Principal Component Analysis PCA.mp4

22:39

00041 9.2 Examining Bayesian Learning.mp4

12:34

00042 Learning objectives.mp4

01:51

00043 10.1 Surveying Machine Learning Frameworks.mp4

07:30

00044 10.2 Understanding ML Hardware Acceleration Technologies.mp4

12:55

00045 10.3 Future Directions of Machine Learning.mp4

15:15

00046 Summary.mp4

03:57

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