Rating

    No results.

Off to FTI: see you on the other side

Tomorrow I’m starting a new, full-time position as data scientist at FTI’s lab here in Melbourne. I’m excited to have the opportunity to contribute to the e-discovery community from another angle, as a builder-of-product. Unfortunately, this means the end of this blog, at least in its current form and at least for now. Thanks to […] → Read More: Off to FTI: see you on the other side

Off to FTI: see you on the other side

Tomorrow I’m starting a new, full-time position as data scientist at FTI’s lab here in Melbourne. I’m excited to have the opportunity to contribute to the e-discovery community from another angle, as a builder-of-product. Unfortunately, this means the end of this blog, at least in its current form and at least for now. Thanks to […] → Read More: Off to FTI: see you on the other side

Off to FTI: see you on the other side

Tomorrow I’m starting a new, full-time position as data scientist at FTI’s lab here in Melbourne. I’m excited to have the opportunity to contribute to the e-discovery community from another angle, as a builder-of-product. Unfortunately, this means the end of this blog, at least in its current form and at least for now. Thanks to […] → Read More: Off to FTI: see you on the other side

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall

Confidence intervals on recall and eRecall

There is an ongoing discussion about methods of estimating the recall of a production, as well as estimating a confidence interval on that recall. One approach is to use the control set sample, drawn at the start of production to estimate collection richness and guide the predictive coding process, to also estimate the final confidence […] → Read More: Confidence intervals on recall and eRecall