• Using TI-83 Plus to find linear regression equation and predict values

    published: 30 Sep 2015
  • Stata Postestimation Commands. Using -predict-

    Using the -predict- postestimation command in Stata to create predicted values and residuals.

    published: 25 Nov 2013
  • Predict Outcome Value with SLOPE and INTERCEPT Functions in Excel

    This video demonstrates how to predict an outcome value using the SLOPE and INTERCEPT functions Microsoft Excel. In the equation for a line, y = mx + b, m is the slope and b in the y-intercept.

    published: 25 Aug 2016
  • 15.2 Predict the entropy change for a given reaction or process [HL IB Chemistry]

    Remember that ENTROPY can also be thought of as DISORDER. Gas has the highest entropy in IB chemistry, so any reaction that produces gas will have a positive value of delta S, whereas any reaction that uses up gas will have a negative delta S. This is an oversimplification, e.g. what happens if both product and reactants are gaseous -- watch the vid!

    published: 03 Mar 2012
  • Using Equations to Predict Values

    published: 23 Jul 2015
  • Using pKa values to predict the position of equilibrium | Organic chemistry | Khan Academy

    How to use pKa values to predict the position of equilibrium for organic acid-base reactions. Watch the next lesson: https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/stabilization-of-a-conjugate-base-electronegativity-new?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Missed the previous lesson? https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/using-a-pka-table?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Organic Chemistry on Khan Academy: Carbon can form covalent bonds with itself and other elements to create a mind-boggling array of structures. In organic chemistry, we will learn about the reactions chemists use to synthesize crazy carbon based structures, as well as the a...

    published: 29 Mar 2015
  • Predicting Stock Prices - Learn Python for Data Science #4

    In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine...

    published: 28 Oct 2016
  • Stata Tutorial: Predict

    published: 09 Feb 2013
  • Your Values Predict Your Life

    http://HowToBeHappyWithAliB.com Your values form the rules by which you wish to live your life. If you don't know what you value, why you value those things or the priority of your values, then life decisions - everything from where to work, your career, your personal relationships, your health - everything is up for grabs as to whether or not you can be successful or happy. This is the introductory lesson in a series all about values. FREE gift at http://HowToBeHappyWithAliB.com

    published: 24 Feb 2014
  • Splunk MLTK's Predict Numeric Fields assistant for predicting the server power consumption

    In this video, we will be using the Splunk Machine Learning Toolkit's (MLTK) Predict Numeric Fields assistant to predict the value of a numeric field using a weighted combination of the values of other fields in that event. A common use of these predictions is to identify anomalies: predictions that differ significantly from the actual value may be considered anomalous. As in this example, an IT administrator could estimate server power consumption given metrics like CPU utilization and memory transactions. To download and know more about the MLTK app click this link : https://splunkbase.splunk.com/app/2890/

    published: 27 Sep 2016
  • Excel - Time Series Forecasting - Part 1 of 3

    Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.

    published: 18 Apr 2013
  • 19.1 Predict if a reaction will be spontaneous using standard electrode potentials [HL IB Chemistry]

    If the battery is spontaneous, it works, and has a positive voltage. A non-spontaneous (non-working) battery has a negative voltage. If the battery is made by "flipping" the most negative half-cell equation then it will work. Confused? See the vid (and 19.1.3 too)

    published: 05 Nov 2011
  • 094 Using Linear Regression to Predict Unknown Values

    published: 07 Jan 2017
  • How to Use a Bar Graph to Compare and Predict Values

    Subscribe for new videos: www.youtube.com/channel/UCIWCSw8jNs9SPetsVPo1WQQ Share this video: https://youtu.be/TJDjljiWjYo Follow me on Facebook: https://goo.gl/gnnhRj The problem: The bar graph below (see video) represents the miles per gallon associated with a hybrid vehicle. (For questions 7 – 8) 7. Which vehicle gets the least miles per gallon? Toyota RAV4-EV 8. Predict what would be the mileage per gallon associated with the vehicle Hybrid U. The solution: 7. Toyota RAV4-EV 8. Between 84 and 95 mpg.

    published: 21 Apr 2017
  • Using Lines of Best Fit to Predict Values That You Can't Otherwise Get

    www.STEADFASTtutoring.com | One of the main reasons for the the idea of lines of best fit is that we need to be able to predict values (e.g., number of expected bird species in a given area) that we're not able to directly observe, based on real values that we actually have already observed. Here's how it works!

    published: 13 Dec 2011
  • Simple Linear Regression, scatter plot, and Prediction of y with StatCrunch r-square

    An example of using StatCrunch with raw data to calculate a simple linear regression, make a scatter plot, and use the regression equation to predict values of the dependent variable. Get r and r-square. MyStatLab. Similar to Problem 9.2.17 and 9.2.31 in Larson text and MyStatlab

    published: 09 Feb 2016
  • Module 14 - Using Markers to Predict Breeding Values

    This is the 14th module in a series of 16 developed by the Conifer Translational Genomics Network (CTGN). This module focuses on prediction of breeding values using molecular markers in the context of forest trees.

    published: 18 Apr 2012
  • How to Predict a Company Crisis: Uber, Lego, Marvel Comics | Chris Zook

    How did Lego survive a near-total financial ruin? Why is Lyft way more popular that Uber amongst drivers? And how did Marvel gain a second wind some 60 years after it was founded? Read more at BigThink.com: http://bigthink.com/videos/chris-zook-how-to-predict-a-company-crisis-uber-lego-marvel-comics Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Y'know, overload – just think of all we see of Uber in the paper. We found four things that we called the “west winds” that hit rapidly growing companies and push them off track, and we called them the west winds. And one was having revenues growing much faster than you can grow talent. And just think of Uber, which has had as many as 13 of its t...

    published: 09 Dec 2017
  • TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values

    Learn how to apply the predictive modeling process in Spotfire in order fit and validate a model which is then used to predict a numerical data column. Try Spotfire for free today: http://spotfire.tibco.com/trial For more great resources like this head over to our Learning Resources page: http://spotfire.tibco.com/learn Want some help? Head over to the TIBCO Community: http://community.tibco.com/products/spotfire

    published: 30 Sep 2016
  • Using pKa values to predict reactions

    published: 14 Aug 2015
  • The Equilibrium Constant

    065 - The Equilibrium Constant In this video Paul Andersen defines the equilibrium constant (K) and explains how it can be calculated in various reversible reactions. The equilibrium constant is a ratio of the concentration of the products to the concentration of the reactants. If the K value is less than one the reaction will move to the left and if the K value is greater than one the reaction will move to the right. Do you speak another language? Help me translate my videos: http://www.bozemanscience.com/translations/ Music Attribution Title: String Theory Artist: Herman Jolly http://sunsetvalley.bandcamp.com/track/string-theory All of the images are licensed under creative commons and public domain licensing: "File:Lightning Hits Tree.jpg." Wikipedia, the Free Encyclopedia. Acces...

    published: 06 Feb 2014
  • Splunk MLTK's Predict Categorical Fields assistant for predicting the disk failure event

    In this video, we will be using the Splunk Machine Learning Toolkit's (MLTK) Predict Categorical Fields assistant to predict the value of a categorical field using the values of other fields in that event. A common use of these predictions is to identify anomalies: predictions that differ significantly from the actual value may be considered anomalous. As in this example, an IT administrator could predict hard drive failures using SMART metrics.To download and know more about the MLTK app click this link : https://splunkbase.splunk.com/app/2890/

    published: 27 Sep 2016
  • Use the TREND Function to Predict Sales Growth

    This video show you how to use the TREND function to predict future monthly sales (from one to multiple months) based on historical values. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------- Check out my Blog: http://exceltraining101.blogspot.com

    published: 10 Nov 2014
  • Predict the value and location of a playing card

    Get the app here: https://itunes.apple.com/us/app/magic-kit-pro-learn-perform/id1168450796 Visit Alakazapps now: https://alakazapps.com Follow on twitter: https://twitter.com/alakazapps A legitimate modern miracle. Cipher 52 will not only predict the value of a freely chosen card. It will also reveal its position in a mixed deck. A deck of playing cards is cut several times by a spectator. You then dribble the cards asking the spectator to call stop. This is a genuinely free choice and they can even change their mind. The chosen card is remembered and the spectator is invited to cut the deck several times. You then draw attention to a mysterious cipher on your iPhone. You demonstrate it can be set to display a single card and it's position in the deck. You reset the cipher wit...

    published: 26 Dec 2016
developed with YouTube
Using TI-83 Plus to find linear regression equation and predict values
4:20

Using TI-83 Plus to find linear regression equation and predict values

  • Order:
  • Duration: 4:20
  • Updated: 30 Sep 2015
  • views: 9063
videos
https://wn.com/Using_Ti_83_Plus_To_Find_Linear_Regression_Equation_And_Predict_Values
Stata Postestimation Commands.  Using -predict-
6:34

Stata Postestimation Commands. Using -predict-

  • Order:
  • Duration: 6:34
  • Updated: 25 Nov 2013
  • views: 21229
videos
Using the -predict- postestimation command in Stata to create predicted values and residuals.
https://wn.com/Stata_Postestimation_Commands._Using_Predict
Predict Outcome Value with SLOPE and INTERCEPT Functions in Excel
6:12

Predict Outcome Value with SLOPE and INTERCEPT Functions in Excel

  • Order:
  • Duration: 6:12
  • Updated: 25 Aug 2016
  • views: 2235
videos
This video demonstrates how to predict an outcome value using the SLOPE and INTERCEPT functions Microsoft Excel. In the equation for a line, y = mx + b, m is the slope and b in the y-intercept.
https://wn.com/Predict_Outcome_Value_With_Slope_And_Intercept_Functions_In_Excel
15.2 Predict the entropy change for a given reaction or process [HL IB Chemistry]
3:35

15.2 Predict the entropy change for a given reaction or process [HL IB Chemistry]

  • Order:
  • Duration: 3:35
  • Updated: 03 Mar 2012
  • views: 50070
videos
Remember that ENTROPY can also be thought of as DISORDER. Gas has the highest entropy in IB chemistry, so any reaction that produces gas will have a positive value of delta S, whereas any reaction that uses up gas will have a negative delta S. This is an oversimplification, e.g. what happens if both product and reactants are gaseous -- watch the vid!
https://wn.com/15.2_Predict_The_Entropy_Change_For_A_Given_Reaction_Or_Process_Hl_Ib_Chemistry
Using Equations to Predict Values
9:46

Using Equations to Predict Values

  • Order:
  • Duration: 9:46
  • Updated: 23 Jul 2015
  • views: 10
videos
https://wn.com/Using_Equations_To_Predict_Values
Using pKa values to predict the position of equilibrium | Organic chemistry | Khan Academy
7:54

Using pKa values to predict the position of equilibrium | Organic chemistry | Khan Academy

  • Order:
  • Duration: 7:54
  • Updated: 29 Mar 2015
  • views: 82518
videos
How to use pKa values to predict the position of equilibrium for organic acid-base reactions. Watch the next lesson: https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/stabilization-of-a-conjugate-base-electronegativity-new?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Missed the previous lesson? https://www.khanacademy.org/science/organic-chemistry/organic-structures/acid-base-review/v/using-a-pka-table?utm_source=YT&utm_medium=Desc&utm_campaign=organicchemistry Organic Chemistry on Khan Academy: Carbon can form covalent bonds with itself and other elements to create a mind-boggling array of structures. In organic chemistry, we will learn about the reactions chemists use to synthesize crazy carbon based structures, as well as the analytical methods to characterize them. We will also think about how those reactions are occurring on a molecular level with reaction mechanisms. Simply put, organic chemistry is like building with molecular Legos. Let's make some beautiful organic molecules! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy’s Organic Chemistry channel: https://www.youtube.com/channel/UCNKPjijOc0WEJ7DIV_Vay3g?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
https://wn.com/Using_Pka_Values_To_Predict_The_Position_Of_Equilibrium_|_Organic_Chemistry_|_Khan_Academy
Predicting Stock Prices - Learn Python for Data Science #4
7:39

Predicting Stock Prices - Learn Python for Data Science #4

  • Order:
  • Duration: 7:39
  • Updated: 28 Oct 2016
  • views: 376532
videos
In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
https://wn.com/Predicting_Stock_Prices_Learn_Python_For_Data_Science_4
Stata Tutorial: Predict
7:30

Stata Tutorial: Predict

  • Order:
  • Duration: 7:30
  • Updated: 09 Feb 2013
  • views: 15732
videos
https://wn.com/Stata_Tutorial_Predict
Your Values Predict Your Life
2:25

Your Values Predict Your Life

  • Order:
  • Duration: 2:25
  • Updated: 24 Feb 2014
  • views: 14
videos
http://HowToBeHappyWithAliB.com Your values form the rules by which you wish to live your life. If you don't know what you value, why you value those things or the priority of your values, then life decisions - everything from where to work, your career, your personal relationships, your health - everything is up for grabs as to whether or not you can be successful or happy. This is the introductory lesson in a series all about values. FREE gift at http://HowToBeHappyWithAliB.com
https://wn.com/Your_Values_Predict_Your_Life
Splunk MLTK's Predict Numeric Fields assistant for predicting the server power consumption
6:04

Splunk MLTK's Predict Numeric Fields assistant for predicting the server power consumption

  • Order:
  • Duration: 6:04
  • Updated: 27 Sep 2016
  • views: 2671
videos
In this video, we will be using the Splunk Machine Learning Toolkit's (MLTK) Predict Numeric Fields assistant to predict the value of a numeric field using a weighted combination of the values of other fields in that event. A common use of these predictions is to identify anomalies: predictions that differ significantly from the actual value may be considered anomalous. As in this example, an IT administrator could estimate server power consumption given metrics like CPU utilization and memory transactions. To download and know more about the MLTK app click this link : https://splunkbase.splunk.com/app/2890/
https://wn.com/Splunk_Mltk's_Predict_Numeric_Fields_Assistant_For_Predicting_The_Server_Power_Consumption
Excel - Time Series Forecasting - Part 1 of 3
18:06

Excel - Time Series Forecasting - Part 1 of 3

  • Order:
  • Duration: 18:06
  • Updated: 18 Apr 2013
  • views: 634924
videos
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
https://wn.com/Excel_Time_Series_Forecasting_Part_1_Of_3
19.1 Predict if a reaction will be spontaneous using standard electrode potentials [HL IB Chemistry]
1:35

19.1 Predict if a reaction will be spontaneous using standard electrode potentials [HL IB Chemistry]

  • Order:
  • Duration: 1:35
  • Updated: 05 Nov 2011
  • views: 30945
videos
If the battery is spontaneous, it works, and has a positive voltage. A non-spontaneous (non-working) battery has a negative voltage. If the battery is made by "flipping" the most negative half-cell equation then it will work. Confused? See the vid (and 19.1.3 too)
https://wn.com/19.1_Predict_If_A_Reaction_Will_Be_Spontaneous_Using_Standard_Electrode_Potentials_Hl_Ib_Chemistry
094 Using Linear Regression to Predict Unknown Values
3:58

094 Using Linear Regression to Predict Unknown Values

  • Order:
  • Duration: 3:58
  • Updated: 07 Jan 2017
  • views: 44
videos
https://wn.com/094_Using_Linear_Regression_To_Predict_Unknown_Values
How to Use a Bar Graph to Compare and Predict Values
2:33

How to Use a Bar Graph to Compare and Predict Values

  • Order:
  • Duration: 2:33
  • Updated: 21 Apr 2017
  • views: 47
videos
Subscribe for new videos: www.youtube.com/channel/UCIWCSw8jNs9SPetsVPo1WQQ Share this video: https://youtu.be/TJDjljiWjYo Follow me on Facebook: https://goo.gl/gnnhRj The problem: The bar graph below (see video) represents the miles per gallon associated with a hybrid vehicle. (For questions 7 – 8) 7. Which vehicle gets the least miles per gallon? Toyota RAV4-EV 8. Predict what would be the mileage per gallon associated with the vehicle Hybrid U. The solution: 7. Toyota RAV4-EV 8. Between 84 and 95 mpg.
https://wn.com/How_To_Use_A_Bar_Graph_To_Compare_And_Predict_Values
Using Lines of Best Fit to Predict Values That You Can't  Otherwise Get
8:11

Using Lines of Best Fit to Predict Values That You Can't Otherwise Get

  • Order:
  • Duration: 8:11
  • Updated: 13 Dec 2011
  • views: 3450
videos
www.STEADFASTtutoring.com | One of the main reasons for the the idea of lines of best fit is that we need to be able to predict values (e.g., number of expected bird species in a given area) that we're not able to directly observe, based on real values that we actually have already observed. Here's how it works!
https://wn.com/Using_Lines_Of_Best_Fit_To_Predict_Values_That_You_Can't_Otherwise_Get
Simple Linear Regression, scatter plot, and Prediction of y with StatCrunch r-square
4:43

Simple Linear Regression, scatter plot, and Prediction of y with StatCrunch r-square

  • Order:
  • Duration: 4:43
  • Updated: 09 Feb 2016
  • views: 4775
videos
An example of using StatCrunch with raw data to calculate a simple linear regression, make a scatter plot, and use the regression equation to predict values of the dependent variable. Get r and r-square. MyStatLab. Similar to Problem 9.2.17 and 9.2.31 in Larson text and MyStatlab
https://wn.com/Simple_Linear_Regression,_Scatter_Plot,_And_Prediction_Of_Y_With_Statcrunch_R_Square
Module 14 - Using Markers to Predict Breeding Values
53:50

Module 14 - Using Markers to Predict Breeding Values

  • Order:
  • Duration: 53:50
  • Updated: 18 Apr 2012
  • views: 2515
videos
This is the 14th module in a series of 16 developed by the Conifer Translational Genomics Network (CTGN). This module focuses on prediction of breeding values using molecular markers in the context of forest trees.
https://wn.com/Module_14_Using_Markers_To_Predict_Breeding_Values
How to Predict a Company Crisis: Uber, Lego, Marvel Comics | Chris Zook
9:07

How to Predict a Company Crisis: Uber, Lego, Marvel Comics | Chris Zook

  • Order:
  • Duration: 9:07
  • Updated: 09 Dec 2017
  • views: 31358
videos
How did Lego survive a near-total financial ruin? Why is Lyft way more popular that Uber amongst drivers? And how did Marvel gain a second wind some 60 years after it was founded? Read more at BigThink.com: http://bigthink.com/videos/chris-zook-how-to-predict-a-company-crisis-uber-lego-marvel-comics Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Y'know, overload – just think of all we see of Uber in the paper. We found four things that we called the “west winds” that hit rapidly growing companies and push them off track, and we called them the west winds. And one was having revenues growing much faster than you can grow talent. And just think of Uber, which has had as many as 13 of its top 20 positions unfilled and that has been having difficulty recruiting the most talented women because of some of the cultural issues. And when your talent is not growing at the same rate as your revenues breakdowns begin to happen. A second element of the west winds is what we call lack of accountability. And you can look at the culture as it evolved in Uber, which has been well reported, and say, “who is really accountable for the norms and values—deep, soulful values—of a company?” And it’s very easy to neglect that in the context of growth and hype and excitement and celebrity. Or a third one, or a third of these winds is what we called lost voices from the frontline. And if you look at, for example, the loyalty numbers that you can find all over the internet of Lyft versus Uber drivers, what you find is that the loyalty of Uber drivers is going down, because they’re a little bit frustrated with a lot of the publicity and with some of the behaviors that they’ve observed, and they’re more disoriented about the company. And so these west winds hit rapidly growing companies. And what we found is that when we looked at these unicorns, we took 26 unicorns about 10 years ago, 10 to 12 years ago, and we traced them. And we found that virtually 100 percent of them—and two-thirds of them had slowed down dramatically and never hit what people wanted them to. Uber would be an example. And second, we found that in virtually all of the cases the deep inner root cause was not that it was a bad idea in the first place or the market had gone away; It was actually inner breakdowns like this case. And all of these linked to the founder’s mentality, 1) of linkage to the frontline, 2) maintaining a clear purpose versus overcomplicating what you’re trying to do and becoming greedy and doing too much, and 3) creating mini founder experiences that make people really want to become part of it. The second crisis is the more predominant crisis, and it’s what we call a stall-out. So if you think of a company, let’s say like Lego, which since the 1930s was a great founder company through three or four generations. The first did it in wooden blocks. The next brought it to plastic. The next created the business systems. And it was voted the toy of the year by the British toy industry. And yet the next generation began to say “No, what our core is is the brand. We’re not a toy company.” And so they went into many, many things that massively complicated the business from theme parks to joint ventures with Steven Spielberg in small theaters to retail endeavors to plastic watches to books, and on and on and on. And it sucked the energy out of the core and resulted in stall-out to a point where the company had 18 months of cash left. And the solution to that was to massively reduce complexity, exit all those businesses (by the CEO who courageously went in, Jorgen Vig Knudstorp, well reported in the press) and it gave the company 12 years. He brought technology into the bricks. He found out who the core customers were. They didn’t know there were 400,000 people who are obsessed with Lego, they brought them into the design process. And they did many, many things to actually go back to the essence of what made the company great in the first place, which was the mission of learning, and the customer desire for toy systems that would help children creatively. And they even did things like take the corporate headquarters (which was in a bright, gleaming new building) and brought it back into the factory and the distribution center. So that’s an example of stall-out, and that’s an example of a company that then had 12 years of very, very good growth as a result of, in a sense, finding the key to it—where the Founder’s Mentality elements were part of the playbook.
https://wn.com/How_To_Predict_A_Company_Crisis_Uber,_Lego,_Marvel_Comics_|_Chris_Zook
TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values
10:04

TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values

  • Order:
  • Duration: 10:04
  • Updated: 30 Sep 2016
  • views: 3922
videos
Learn how to apply the predictive modeling process in Spotfire in order fit and validate a model which is then used to predict a numerical data column. Try Spotfire for free today: http://spotfire.tibco.com/trial For more great resources like this head over to our Learning Resources page: http://spotfire.tibco.com/learn Want some help? Head over to the TIBCO Community: http://community.tibco.com/products/spotfire
https://wn.com/Tibco_Spotfire_Use_Regression_Modeling_To_Predict_Numerical_Values
Using pKa values to predict reactions
4:36

Using pKa values to predict reactions

  • Order:
  • Duration: 4:36
  • Updated: 14 Aug 2015
  • views: 941
videos
https://wn.com/Using_Pka_Values_To_Predict_Reactions
The Equilibrium Constant
6:15

The Equilibrium Constant

  • Order:
  • Duration: 6:15
  • Updated: 06 Feb 2014
  • views: 302374
videos
065 - The Equilibrium Constant In this video Paul Andersen defines the equilibrium constant (K) and explains how it can be calculated in various reversible reactions. The equilibrium constant is a ratio of the concentration of the products to the concentration of the reactants. If the K value is less than one the reaction will move to the left and if the K value is greater than one the reaction will move to the right. Do you speak another language? Help me translate my videos: http://www.bozemanscience.com/translations/ Music Attribution Title: String Theory Artist: Herman Jolly http://sunsetvalley.bandcamp.com/track/string-theory All of the images are licensed under creative commons and public domain licensing: "File:Lightning Hits Tree.jpg." Wikipedia, the Free Encyclopedia. Accessed January 2, 2014. http://en.wikipedia.org/wiki/File:Lightning_hits_tree.jpg. "File:Nitric-Oxide-3D-vdW.png." Wikipedia, the Free Encyclopedia. Accessed January 2, 2014. http://en.wikipedia.org/wiki/File:Nitric-oxide-3D-vdW.png. "File:Phosgene Poster ww2.jpg." Wikipedia, the Free Encyclopedia. Accessed January 2, 2014. http://en.wikipedia.org/wiki/File:Phosgene_poster_ww2.jpg. "Reversible Reactions." PhET. Accessed January 2, 2014. http://phet.colorado.edu/en/simulation/reversible-reactions. "Reversible Reactions." PhET. Accessed January 2, 2014. http://phet.colorado.edu/en/simulation/reversible-reactions.
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Splunk MLTK's Predict Categorical Fields assistant for predicting the disk failure event
6:09

Splunk MLTK's Predict Categorical Fields assistant for predicting the disk failure event

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  • Duration: 6:09
  • Updated: 27 Sep 2016
  • views: 2017
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In this video, we will be using the Splunk Machine Learning Toolkit's (MLTK) Predict Categorical Fields assistant to predict the value of a categorical field using the values of other fields in that event. A common use of these predictions is to identify anomalies: predictions that differ significantly from the actual value may be considered anomalous. As in this example, an IT administrator could predict hard drive failures using SMART metrics.To download and know more about the MLTK app click this link : https://splunkbase.splunk.com/app/2890/
https://wn.com/Splunk_Mltk's_Predict_Categorical_Fields_Assistant_For_Predicting_The_Disk_Failure_Event
Use the TREND Function to Predict Sales Growth
7:21

Use the TREND Function to Predict Sales Growth

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  • Duration: 7:21
  • Updated: 10 Nov 2014
  • views: 52687
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This video show you how to use the TREND function to predict future monthly sales (from one to multiple months) based on historical values. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------- Check out my Blog: http://exceltraining101.blogspot.com
https://wn.com/Use_The_Trend_Function_To_Predict_Sales_Growth
Predict the value and location of a playing card
1:54

Predict the value and location of a playing card

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  • Duration: 1:54
  • Updated: 26 Dec 2016
  • views: 199
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Get the app here: https://itunes.apple.com/us/app/magic-kit-pro-learn-perform/id1168450796 Visit Alakazapps now: https://alakazapps.com Follow on twitter: https://twitter.com/alakazapps A legitimate modern miracle. Cipher 52 will not only predict the value of a freely chosen card. It will also reveal its position in a mixed deck. A deck of playing cards is cut several times by a spectator. You then dribble the cards asking the spectator to call stop. This is a genuinely free choice and they can even change their mind. The chosen card is remembered and the spectator is invited to cut the deck several times. You then draw attention to a mysterious cipher on your iPhone. You demonstrate it can be set to display a single card and it's position in the deck. You reset the cipher with a tap. What happens next is miraculous. With nothing more than a gentle shake the cipher springs to life, the dials spin, and a card value is revealed - the spectators chosen card. Another shake and a number is revealed, for example, 26. The spectator counts though the deck to the 26th card - it is their chosen card.
https://wn.com/Predict_The_Value_And_Location_Of_A_Playing_Card
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