[Tutorialsplanet.NET] Udemy - Machine Learning - A-Z™ Full Course

[Tutorialsplanet.NET] Udemy - Machine Learning - A-Z™ Full Course

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Size
6.1 GB
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0
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1
Files
66
Category
Other
Added
08/31/19 at 5:44am GMT+1
Infohash
e9344a5530ecb92c60cbfd4b7aa67bd98b23e97e

Description
Udemy - Machine Learning – A-Z™ Full Course [TP]



Interested in the field of Machine Learning? Then this course is for you!

As,

AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
Gartner predicts the business value created by AI will reach $3.9T in 2022.
IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.
23% of North American enterprises have machine learning embedded in at least one company function as of last year.19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions. The graph below shows the results of a McKinsey & Company survey of 2,135 enterprise senior executive respondents. The graph displays the percent of respondents whose organizations have embedded AI capabilities in at least one function or business unit. Respondents can select multiple AI capabilities
Scopes of Machine Learning

The machine learning technology is used in most banking and finance industry because the proper implication of technology can give the outstanding result and significant improvement can be seen in terms of replacing legacy system and developed enterprise. The machine learning technology helped the banking & Finance sector in taking company’s decision making, improving customer experience, increasing the backend and frontend staff efficiency.

File list
  • [Tutorialsplanet.NET] Udemy - Machine Learning - A-Z™ Full Course
  • 1. Introduction/1. Introduction.mp4 8.5 MB
  • 1. Introduction/1. Introduction.vtt 723 B
  • 1. Introduction/2. 1.html 3.6 KB
  • 2. Machine Learning using R/1. Machine Learning Basics.mp4 92.1 MB
  • 2. Machine Learning using R/1. Machine Learning Basics.vtt 18.6 KB
  • 2. Machine Learning using R/10. Sentiment Analysis in R.mp4 403.2 MB
  • 2. Machine Learning using R/10. Sentiment Analysis in R.vtt 60.8 KB
  • 2. Machine Learning using R/11. Data Mining using R.mp4 299.3 MB
  • 2. Machine Learning using R/11. Data Mining using R.vtt 45 KB
  • 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4 102.2 MB
  • 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.vtt 21 KB
  • 2. Machine Learning using R/13. Boosting Machine Learning.mp4 139.9 MB
  • 2. Machine Learning using R/13. Boosting Machine Learning.vtt 27.2 KB
  • 2. Machine Learning using R/2. Data Science vs Machine Learning.mp4 126.7 MB
  • 2. Machine Learning using R/2. Data Science vs Machine Learning.vtt 22 KB
  • 2. Machine Learning using R/3. Machine Learning with R Machine.mp4 301 MB
  • 2. Machine Learning using R/3. Machine Learning with R Machine.vtt 52 KB
  • 2. Machine Learning using R/4. Complete Machine Learning Course.mp4 900.7 MB
  • 2. Machine Learning using R/4. Complete Machine Learning Course.vtt 149.6 KB
  • 2. Machine Learning using R/5. Machine Learning Algorithms.mp4 375.2 MB
  • 2. Machine Learning using R/5. Machine Learning Algorithms.vtt 59.1 KB
  • 2. Machine Learning using R/6. Linear Regression Algorithm.mp4 187 MB
  • 2. Machine Learning using R/6. Linear Regression Algorithm.vtt 37.9 KB
  • 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 152.4 MB
  • 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.vtt 28.1 KB
  • 2. Machine Learning using R/8. Random Forest Tutorial.mp4 515 MB
  • 2. Machine Learning using R/8. Random Forest Tutorial.vtt 75.7 KB
  • 2. Machine Learning using R/9. Support Vector.mp4 220.7 MB
  • 2. Machine Learning using R/9. Support Vector.vtt 40.4 KB
  • 3. Machine Learning using Python/1. R vs Python.mp4 62 MB
  • 3. Machine Learning using Python/1. R vs Python.vtt 8.8 KB
  • 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 142.6 MB
  • 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.vtt 34.8 KB
  • 3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 202.7 MB
  • 3. Machine Learning using Python/11. Probabilistic Graphical Models.vtt 39.6 KB
  • 3. Machine Learning using Python/12. Machine Learning Projects.mp4 199 MB
  • 3. Machine Learning using Python/12. Machine Learning Projects.vtt 37.3 KB
  • 3. Machine Learning using Python/2. Logistic Regression in Python.mp4 364.9 MB
  • 3. Machine Learning using Python/2. Logistic Regression in Python.vtt 73 KB
  • 3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 316.2 MB
  • 3. Machine Learning using Python/3. Decision Tree Algorithm.vtt 64.3 KB
  • 3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 201.9 MB
  • 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 198.4 MB
  • 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.vtt 36.7 KB
  • 3. Machine Learning using Python/6. Time Series Analysis.mp4 270.1 MB
  • 3. Machine Learning using Python/6. Time Series Analysis.vtt 56.7 KB
  • 3. Machine Learning using Python/7. Twitter Sentiment Analysis.mp4 29 MB
  • 3. Machine Learning using Python/7. Twitter Sentiment Analysis.vtt 5.1 KB
  • 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.mp4 55.9 MB
  • 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.vtt 10.3 KB
  • 3. Machine Learning using Python/9. Reinforcement Learning.mp4 329.4 MB
  • 3. Machine Learning using Python/9. Reinforcement Learning.vtt 68.4 KB
  • 4. Projects in ML/1. First project Motion Studio.html 7.1 KB
  • 4. Projects in ML/10. More ideas For projects.html 7 KB
  • 4. Projects in ML/11. Top Projects for Bieng Expert.html 9 KB
  • 4. Projects in ML/12. Projects For Practise.html 9.6 KB
  • 4. Projects in ML/2. Lithion power.html 7.4 KB
  • 4. Projects in ML/2.1 (Information science and statistics) Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf 4.5 MB
  • 4. Projects in ML/3. BluEX.html 13.6 KB
  • 4. Projects in ML/3.1 (Adaptive Computation and Machine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf 36.2 MB
  • 4. Projects in ML/4. Forecasting Website Traffic Using Facebook’s Prophet Library.html 14.5 KB
  • 4. Projects in ML/5. Face Recognition with Python.html 8.9 KB
  • 4. Projects in ML/6. Digit Recognition.html 13.7 KB
  • 4. Projects in ML/7. Predicting Google’s Stock Price.html 10.5 KB
  • 4. Projects in ML/8. Predict the Weather.html 33.8 KB
  • 4. Projects in ML/9. Speech Recognition.html 43.1 KB

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