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Udemy Coupons

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Expires: November 1, 2018

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Coursera Coupons

Machine Learning + Certification

Learn Machine Learning Stanford University Professor and earn certification to...More

Learn Machine Learning Stanford University Professor and earn certification to full proof your career.

About Coursera Machine Learning Course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Less

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Machine Learning + Certification

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Learn Machine Learning Stanford University Professor and earn certification to full proof your career.

About Coursera Machine Learning Course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Expires: N/A

Submitted: 5 months ago

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Udemy Coupons

{Offer} Microsoft Excel Video Tutorial – Excel from Beginner to Advanced

Microsoft Excel - Excel from Beginner to Advanced video tutorial...More

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Microsoft Excel Video Tutorial Description

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  • Microsoft Excel 101 – An Introduction to Excel
  • Microsoft Excel 102 – Intermediate Level Excel
  • Microsoft Excel 103 – Advanced Level Excel
  • Master Microsoft Excel Macros and VBA in 6 Simple Projects

Material recorded with Excel 2013 but works in 2010, 2013, and 2016

Enroll now to go through a deep dive of the most popular spreadsheet tool on the market, Microsoft Excel. As your instructor I will use my 15+ years of Excel training to guide you step by step through the beginner to advanced level and beyond.

As you participate in each of the 4 courses you will master Excel tools that will clear away the pain of stumbling through your daily tasks. You will start with the basics, building a solid foundation that will give you further knowledge as you progress into intermediate and advanced level topics.

At completion of this course you will have mastered the most popular Excel tools and come out with confidence to complete any Excel tasks with efficiency and grace. Below are just a few of the topics that you will master:

  • Creating effective spreadsheets
  • Managing large sets of data
  • Mastering the use of some of Excel’s most popular and highly sought after functions (SUM, VLOOKUP, IF, AVERAGE, INDEX/MATCH and many more…)
  • Create dynamic report with Excel PivotTables
  • Unlock the power and versatility of Microsoft Excel’s AddIn, PowerPivot
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  • Automate your day to day Excel tasks by mastering the power of Macros and VBA

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Who is the target audience?
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  • If your looking to take your Excel skills from beginner to advanced level and beyond, then this course is for you.

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Microsoft Excel – Excel from Beginner to Advanced video tutorial coupon to Excel with this A-Z Microsoft Excel Course. Microsoft Excel 2010, Excel 2013, Excel 2016.

Microsoft Excel Video Tutorial Description

Microsoft Excel all in One Package

This Microsoft Excel course combines 4 different courses.

  • Microsoft Excel 101 – An Introduction to Excel
  • Microsoft Excel 102 – Intermediate Level Excel
  • Microsoft Excel 103 – Advanced Level Excel
  • Master Microsoft Excel Macros and VBA in 6 Simple Projects

Material recorded with Excel 2013 but works in 2010, 2013, and 2016

Enroll now to go through a deep dive of the most popular spreadsheet tool on the market, Microsoft Excel. As your instructor I will use my 15+ years of Excel training to guide you step by step through the beginner to advanced level and beyond.

As you participate in each of the 4 courses you will master Excel tools that will clear away the pain of stumbling through your daily tasks. You will start with the basics, building a solid foundation that will give you further knowledge as you progress into intermediate and advanced level topics.

At completion of this course you will have mastered the most popular Excel tools and come out with confidence to complete any Excel tasks with efficiency and grace. Below are just a few of the topics that you will master:

  • Creating effective spreadsheets
  • Managing large sets of data
  • Mastering the use of some of Excel’s most popular and highly sought after functions (SUM, VLOOKUP, IF, AVERAGE, INDEX/MATCH and many more…)
  • Create dynamic report with Excel PivotTables
  • Unlock the power and versatility of Microsoft Excel’s AddIn, PowerPivot
  • Audit Excel Worksheet formulas to ensure clean formulas
  • Automate your day to day Excel tasks by mastering the power of Macros and VBA

So, what are you waiting for, enroll now and take the next step in mastering Excel and go from Excel Newb to Excel Guru!

Who is the target audience?
  • This Microsoft Excel courses will take you through 4 levels of Microsoft Excel topics (Beginner, Intermediate, Advanced and Macros/VBA).
  • If your looking to take your Excel skills from beginner to advanced level and beyond, then this course is for you.

Expires: N/A

Submitted: 5 months ago

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Udemy Coupons

95% off on R Programming : R For Data Science With Real Exercises

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95% off on R Programming : R For Data Science With Real Exercises

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Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2 with exclusive Udemy Offer to get upto 95% Discount.

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Submitted: 5 months ago

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Udemy Coupons

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Flipkart Coupons
Flipkart Coupons

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Expires: September 30, 2017

Submitted: 6 months ago

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Udemy Coupons

Free Online Photography Courses

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Submitted: 1 year ago

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Coursera Coupons

Machine Learning + Certification

Learn Machine Learning Stanford University Professor and earn certification to...More

Learn Machine Learning Stanford University Professor and earn certification to full proof your career.

About Coursera Machine Learning Course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Less

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Machine Learning + Certification

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Learn Machine Learning Stanford University Professor and earn certification to full proof your career.

About Coursera Machine Learning Course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Expires: N/A

Submitted: 5 months ago

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Coursera Coupons

Coursera Python Programming Course Promotion

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Submitted: 1 year ago

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Coursera Machine Learning Promotion

Learn Machine Learning from Adjunct Professor, Stanford University. Get special...More

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Coursera Machine Learning Promotion

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Learn Machine Learning from Adjunct Professor, Stanford University. Get special discount on coursera Machine Learning tutorial with E Certificate.

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Udemy Coupons

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Udemy Coupons

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Submitted: 1 year ago

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